default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBIBM 2024: Lisbon, Portugal
- Mario Cannataro, Huiru Jane Zheng, Lin Gao, Jianlin Cheng, João Luís de Miranda, Ester Zumpano, Xiaohua Hu, Young-Rae Cho, Taesung Park:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024. IEEE 2024, ISBN 979-8-3503-8622-6 - Cinoo Kang, Yejin Kim, Jieun Oh, Hyewon Yun, Juyeon Yang, Chaerin Park, Sooyoung Kim, Seoyeong Ahn, Ayoung Kim, Dohoon Kwon, Jinah Park, Ejin Kim, Ho Kim, Whanhee Lee:
Relationship between short-term ozone exposure, cause-specific mortality, and high-risk populations: A nationwide, time-stratified, case-crossover study. 1 - Tenglong Wang, Jiahao Yu, Yiang Pan, Jianzhong He, Yifei He, Ye Wu:
Jointly Estimation of Microstructure Maps Across Acquisition Protocols. 1-6 - Ross Campbell Stewart, Chenguang Zhao, Tong Liu, Zheng Wang:
PICNIC: refinement of AlphaFold2 tertiary structure predictions using deep 3D residual neural networks. 1-6 - Xiang Liu, Xueling Liu, Jing Diao, Mengyao Zheng, Jihe Li, Dehui Wei, Qipeng Xie, Xia Li, Linshan Jiang:
High Performance Computing Framework for Variable Selection on Genome-wide Association Studies. 1-6 - Hamda Alhosani, Raghvendra Mall
, Ankita Singh, Filippo Castiglione:
FEATURE-pHLA: Physico-chemical features efficiently predict peptide-HLA binding affinity. 4-11 - Ashley Babjac, Scott J. Emrich:
CodonT5: A Multi-task Codon Language Model to Perform Generative Codon Optimization. 12-18 - Zhihua Du, Ningyu Zhong, Jianqiang Li:
Enhancing Gene Cluster Identification and Classification in Bacterial Genomes Through Synonym Replacement and Deep Learning. 19-24 - Shixuan Guan, Xiucai Ye, Tetsuya Sakurai:
Integrating Biological Language Processing and Memory Attention Model for Protein-DNA Binding Residue Prediction. 25-30 - Yutong Hu, Yang Tan, Andi Han, Lirong Zheng, Liang Hong, Bingxin Zhou:
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion. 31-41 - Minghui Li, Zikang Guo, Yang Wu, Peijin Guo, Yao Shi, Shengshan Hu, Wei Wan, Shengqing Hu:
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion. 42-47 - Yichong Li, Xiaojian Liu, Fan Cheng, Xiaoyong Pan, Yang Yang:
RBP-Former: Joint Prediction of RNA-protein Binding Sites on Full-length RNA Transcripts for Multiple RBPs. 48-53 - Zhao Ling, Shi Ying Li, Qiu Shi Liang, Shuai Cheng Li:
TADClam: overlapped and hierarchical topologically associating domains detection with community affiliation model. 54-61 - Zhe Liu, Yihang Bao, Wenhao Li, Weihao Li, Weidi Wang, Guan Ning Lin:
MEMO-stab: Sequence-based Annotation of Mutation Effect on Transmembrane Protein Stability with Protein Language Model-Driven Machine Learning. 62-66 - Xu Liu, Yiming Li, Fuhao Zhang, Ruiqing Zheng, Fei Guo, Min Li, Min Zeng:
ComLMEss: Combining multiple protein language models enables accurate essential protein prediction. 67-72 - Yue Luo, Lei Deng:
Hierarchical Molecular Structure Network with Co-attention Mechanism for Drug-Drug Interaction Prediction. 73-78 - Runze Ma, Chengxin He, Huiru Zheng, Xinye Wang, Haiying Wang, Yidan Zhang, Lei Duan:
SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction. 79-84 - Siyuan Shen, Shangqian Wu, Jie Chen, Zhijian Huang, Lei Deng:
GATBind: Accurate protein-RNA binding sites prediction via graph attention networks with pre-trained language model. 85-90 - Matous Soldát, Jirí Kléma:
Directed Evolution of Proteins via Bayesian Optimization in Embedding Space. 91-98 - Xin Sun, Yuhao Wu:
Combinative Bio-feature Proteins Generation via Pre-trained Protein Large Language Models. 99-104 - C. Malcolm Todd, Lingling Jin, Ian McQuillan:
SVPS, pairwise whole genome alignment-based structural variant identification. 105-112 - Haoyan Wang, Yuhang Yang, Yifei Huang, Tianyi Zang, Yadong Liu:
TDLM: A Diffusion Language Model for TCR Sequence Exploration and Generation. 113-120 - Ming Xiao, Qichen Shang, Qiaozhen Zhang, Yi Xiao, Jun Yu, Le Zhang:
Developing H5N1 Avian Influenza Mutation and Evolution Feature Analysis and Web Service. 121-127 - Yu Xie, Yazhe Zhai, Yifei He, Jiahao Yu, Jiaolong Qin, Ye Wu:
FibGrid: Characterizing Anatomical Pathways in Hypergrid for Direct Tract Segmentation. 128-133 - Yue Yang, Guodong Li, Dongxu Li, Pengwei Hu, Lun Hu:
Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning. 134-139 - Che Zhang, Yanhao Fan, Xiaowen Hu, Yurong Qian, Lei Deng:
ADiffGDA: Exploring Gene-Drug Associations via Adaptive Graph Diffusion Networks. 140-145 - Jiying Zhang, Zijing Liu, Shengyuan Bai, He Cao, Yu Li, Lei Zhang:
Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching. 146-153 - Li Zhang, Heng Chang, Zehua Sun, Wenjie Li, Li Zhu, Han Wang:
PocketLG: Protein Binding Pocket Identification Using Protein Language Model and Graph Transformer. 154-160 - Xiaolong Zhou, Qianmu Yuan, Shuangjia Zheng, Yu Wang, Yuedong Yang:
GP-nano: a geometric graph network for nanobody polyreactivity prediction. 161-167 - Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, Fang-Xiang Wu:
DrugEL: Ensemble Learning Model for Identification of Druggable Proteins. 168-171 - Xiaoya Fan, Yuming Cui, Zheng Zhao, Zengyou He, Qi Zhao, Zhong Wang:
Partition, Predict and Assemble: Targeting Long RNA Secondary Structure Prediction. 172-176 - Zengzhu Guo, Zhiqi Ma:
M2oE: Multimodal Collaborative Expert Peptide Model. 177-180 - Minjie Hu, Kuo Yang, Kuan Xu, Xuezhong Zhou:
LMDTA: Molecular Pre-trained and Interaction Fine-tuned Attention Neural Network for Drug-Target Affinity Prediction. 181-184 - Ge Kong, Jiao Wang, Yuanhao Fan, Juan Wang:
SLP-T5: A New Method for Predicting Protein Sub-chloroplast Localization Based on Text-to-Text Transfer Transformer. 185-190 - Jiarui Li, Samuel J. Landry, Ramgopal R. Mettu:
GPU Acceleration of Conformational Stability Computation for CD4+ T-cell Epitope Prediction. 191-196 - Yajun Liu, Lulu Qiu, Aimin Li, Rong Fei, Junhuai Li, Fang-Xiang Wu:
Prediction of miRNA family based on class-incremental learning. 197-200 - Zhe Liu, Weidi Wang, Mingxia Zhai, An Gu, Shunying Yu, Guan Ning Lin:
Predicting Psychosis Progression in Clinical High-Risk Individuals Using Peripheral Transcriptomic and Epigenomic Profiles: A Machine Learning Approach. 201-204 - Shanchen Pang, Zheqi Song, Tiyao Liu, Wenhao Wu, Yuanyuan Zhang, Shudong Wang:
IEARACDA: Predicting circRNA-disease associations based on information enhancement and arctangent rank approximation. 205-210 - Jialiang Sun, Zhihan Ruan, Chaoyang Yan, Jian Liu:
AREDCI: Assessing Reproducibility and Differential Chromatin Interactions for ChIA-PET Sequencing Data. 217-222 - Yang Tan, Jia Zheng, Liang Hong, Bingxin Zhou:
PROTSOLM: Protein Solubility Prediction with Multi-modal Features. 223-232 - Yang Tan, Lirong Zheng, Bozitao Zhong, Liang Hong, Bingxin Zhou:
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance? 233-239 - Takuya Tsutaoka, Noriji Kato, Toru Nishino, Yuanzhong Li, Masahito Ohue:
Predicting Antibody Stability pH Values from Amino Acid Sequences: Leveraging Protein Language Models for Formulation Optimization. 240-243 - Xue Wang, Li Tang, Hanyu Luo, Yajing Deng, Min Li:
multiTAD: an Attention-Based Deep Learning Model for Identifying TAD Boundaries through Multi-Size Feature Integration. 244-247 - Xiaoru Wen, Lijun Sun, Lei Xie, Yanfen Zheng, Ben Cao, Bin Wang:
MFN: Explainable DNA triple helixes Stabilized Design based on mCGR and flow network. 248-253 - An Wu, Yu Pan, Fuqi Zhou, Jinghui Yan, Chuanlu Liu:
A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams. 254-257 - Siwen Wu, Jinbo Xu, Jun-tao Guo:
Prediction of single-stranded DNA binding proteins with protein language model. 258-263 - Yichao Zhao, Ruiqing Zheng, Li Tang, Pengzhen Jia, Min Li:
An Effective Tool for Differential Interaction Analysis in Single-Cell Hi-C Data. 264-267 - Yuxuan Cai, Bingbo Wang, Junru Zheng:
Control backbone detection in omnigenic disease neighborhood targeting core module. 268-273 - Xinzhe Cao, Peter Minary:
CRISPR-DBA: a deep learning framework for uncertainty quantification of CRISPR off-target activities. 274-281 - Ziyu Fan, Ying Jiang, Shuning Yang, Lei Deng:
MFF-LncLoc: Subcellular Localization Prediction of lncRNAs Based on Multi-Feature Fusion Using Transformers. 282-287 - Ziyu Fan, Yuanpeng Zhang, Yahan Li, Zeyu Zhong, Lei Deng:
LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples. 288-293 - Junwei Hu, Michael Bewong, Selasi Kwashie, Wen Zhang, Vincent Mwintieru Nofong, Guangsheng Wu, Zaiwen Feng:
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction. 294-299 - Jipu Jiang, Guihua Duan, Cheng Yan:
SMCL-MDR: Predicting miRNA-Drug Resistance using Self-Attention Mechanism and Contrastive Learning. 300-305 - Shengzhi Lai, Peize Zhao, Ning Li, Weichuan Yu:
A Mixed Integer Linear Program for Post-translational Modification Characterization. 306-313 - Defeng Li, Zizheng Nie, Yanmin Liu, Xiaojun Cai, Yong Zhang, Xuefeng Cui:
Iterative Glycan Structure Generation by Component Localization and Classification from Mass Spectra. 314-319 - Qiaoming Liu, Yadong Wang, Guohua Wang:
scEAGC: an efficient anchor graph clustering for single-cell transcriptomics and proteomics data. 320-326 - Yan Liu, Zhong Wang, Zengyou He, Hexin Zhang, Jing Qin:
Integrating topology and biological information to predict essential proteins via Shannon entropy. 327-332 - Yan Liu, Ye Yuan, Zhong Wang, Zengyou He, Hexin Zhang, Hongwei Wu, Ya-Dong Wang:
Essential protein discovery on weighted PPI networks via statistical information fusion. 333-338 - Ye Liu, Xiaojie Wang, Hongshan Pu, Jiazhou Chen, Hongmin Cai:
Module-level Gene-drug Interaction Identification via Hierarchical Optimal Transport. 339-344 - Xiangmao Meng, Keming Wang, Ju Xiang, Wenkang Wang:
Network embedding for detecting protein complexes in attributed networks. 345-350 - Kowshika Sarker, Ruoqing Zhu, Hannah Diane Holscher, ChengXiang Zhai:
Prior-guided longitudinal metabolomic analysis. 351-356 - Mengyun Song, Jie Wen, Yabin Kuang, Minzhu Xie:
EPI-RMDL: Prediction of Enhancer-Promoter Interactions Based on RoFormer Mechanism and Deep Learning. 357-362 - Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin:
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes. 363-368 - Xu Tian, Peifu Han, Xue Li, Hongzhen Ding, Wei He, Fengrui Jing, Shuang Wang, Xun Wang, Tao Song:
KGM4DTI: A Depression Knowledge Graph-Driven Multi-semantic Multi-view Computational Framework for Drug-Target Interaction Prediction. 369-376 - Ju Xiang, Shengkai Chen, Lin-Cong-Hua Wang, Xiangmao Meng, Min Li:
Heterogeneous network impulsive dynamics for identifying disease-associated genes. 377-382 - Kexuan Xin, Qingyun Wang, Junyu Chen, Pengfei Yu, Huimin Zhao, Heng Ji:
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production. 383-388 - Shuqi Yang, Lijuan Zhang, Qing Lan, Qiujie Ma, Huan Huang, Jiaqing Miao, Shiyu Mou, Cheng Luo, Dezhong Yao, Ying Tan:
NeuroSparse: An Unsupervised Framework for Inferring Brain Connectivity in Autism Diagnosis. 389-394 - Xiaoting Zeng, Yu Liang, Peng Yang, Weilin Chen, Baiying Lei:
Hypergraph-based Self-supervised Multi-channel Network for Drug-target Interaction Prediction. 395-400 - Li Zhou, Jie Li, Weilong Tan:
IntNet: A novel framework using reconstructed mutation samples and a biologically informed neural network for pathway analysis. 401-406 - Fuad Al Abir, Jake Y. Chen:
Mondrian Abstraction and Language Model Embeddings for Differential Pathway Analysis. 407-410 - Yaoran Chen, Difu Feng, Yuanyuan Zhu, Guojing Li, Ming Zhong, Tieyun Qian, Juan Liu:
DCOAT: Dynamic Core-attachment based Protein Complex Detection. 411-416 - Huanhuan Dai, Haonan Song, Tongyu Han, Qing Yang, Xiangyu Meng, Xun Wang:
AEG-PPIS: A Dual-Branch Protein-protein Interaction Site Predictor Based on Augmented Graph Attention Network and Equivariant Graph Neural Network. 417-422 - Yang Li, Rui Chen, Yuting Tan, Xue Zhong, Bingshan Li, Zhijun Yin:
Improving Genetic Perturbation Response Prediction with an Enhanced Biological Knowledge Graph. 423-428 - Andreas Maier, Mahdie Rafiei, Elisa Anastasi, Olga I. Zolotareva, James Skelton, Maria L. Elkjaer, Ana I. Casas, Cristian Nogales, Harald H. H. W. Schmidt, Tim Kacprowski, David B. Blumenthal, Anil Wipat, Sepideh Sadegh, Jan Baumbach:
NeDRex-Web: An Interactive Web Tool for Drug Repurposing by Exploring Heterogeneous Molecular Networks. 429-434 - Zara Msoili, Stéphanie Baud, Hua Wong:
MuSCaKDE - Multi-Scale modeling of Carbamoylated collagen: Kernel Density Estimation applied from all atom to rigid body simulation. 435-440 - Jingfeng Ou, Jiawei Li, Zhiliang Xia, Shurui Dai, Yulian Ding, Yan Guo, Limin Jiang, Jijun Tang:
scCADE: A Superior Tool for Predicting Perturbation Responses in Single-Cell Gene Expression Using Contrastive Learning and Attention Mechanisms. 441-444 - Mingcheng Qu, Yuncong Wu, Donglin Di, Anyang Su, Tonghua Su, Yang Song, Lei Fan:
Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics. 445-450 - Wei Shao, Yuti Liu, Shuang Zhang, Shuang Chen, Qiao Liu, Jianyu Zhou, Wanwen Zeng:
Inferring Gene Regulatory Network Based on scATAC-seq Data with Gene Perturbation. 451-456 - Pallav Singh, Jessica A. Kinkade, Mohit Verma, Teka Khan, Toshihiko Ezashi, Nathan J. Bivens, R. Michael Roberts, Cheryl S. Rosenfeld, Trupti Joshi:
Impact of Extracellular Vesicles Derived from Human Placenta Cells on Neural Progenitor Cell Transcriptome Dynamics. 457-462 - Fabio Reinoso Vilca, Fabio Ribeiro Cerqueira:
SiRPipe: a data mining pipeline to improve ab initio prediction of bacterial small RNAs. 463-466 - Guishen Wang, Zhitong Guo, Guilin You, Ming Xu, Chen Cao, Xiaowen Hu:
MMDDI-MGPFF: Multi-Modal Drug Representation Learning with Molecular Graph and Pharmacological Feature Fusion for Drug-Drug Interaction Event Prediction. 467-470 - Hanmo Wang:
Q-TetoFormer: A New Gene Regulatory Network Prediction Method Based on Quantum Computing and Transformer. 471-474 - Chen Zhang, Jiaqi Sun, Linlin Xing, Longbo Zhang, Hongzhen Cai, Maozu Guo:
MHANDTI: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Multi-Hop Attention Networks. 475-478 - Chengzhang Zhu, Zhangzheng Yang, Yalong Xiao, Tao Wu, Beiji Zou, Haoze Zhou:
TTCNet: Transformer and Tubular Convolution Feature Attention Network for OCTA vessel segmentation. 479-484 - Liang Bai, Liwen Xu, Boya Ji, Shulin Wang, Shaoliang Peng:
MRF-XGBLC: Large-scale gene regulatory network inference based on multi-model fusion. 485-490 - Liang Bai, Shulin Wang:
GRNNLink: Predicting gene regulatory links from single-cell RNA-seq data using graph recurrent neural network. 491-496 - Xiang Chen, Junnan Yu, Min Li:
spGCLF: a versatile deep graph contrastive learning framework for spatial transcriptomics analysis. 497-502 - Xu-Ran Dou, Yue Gao, Junliang Shang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu:
Integrating Local and Global Information to Decipher Spatial Domains of Spatial Transcriptomics by Attention-based Graph Convolutional Network. 503-508 - Donghai Fang, Fangfang Zhu, Wenwen Min:
Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net. 509-514 - Donghai Fang, Fangfang Zhu, Dongting Xie, Wenwen Min:
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data. 515-520 - Yanru Gao, Feng Li, Fanhao Meng, Daohui Ge, Qianqian Ren, Junliang Shang:
Spatial domains identification based on multi-view contrastive learning in spatial transcriptomics. 521-527 - Yifei Guo, Tao Tang, Qingzhe Wang, Canqun Yang, Zeyu Xia, Chenchen Peng, Yufei Guo, Yingbo Cui:
WFA-vect: a SIMD wavefront algorithm for gap-affine pairwise alignment. 528-533 - Boya Ji, Hong Xia, Dezun Dong, Shaoliang Peng:
SeqCCC: A Sequence-Informed Ligand-Receptor Interaction Prediction Method for Cell-Cell Communication Inference. 534-539 - Hanjing Jiang, Meineng Wang, Luping Zhang, Yu-An Huang, Yangyuan Li, Yabing Huang:
A Single-Cell Clustering Algorithm Based on Structure Perturbation Non-Negative Matrix Factorization. 540-545 - Xiaolin Li, Lianrong Pu, Kuanqiang Tang, Xianzhong Feng, Daming Zhu:
ULTR-asm: assembly of ultra long tandem repeat. 546-551 - Shibo Liu, Xuan Zhang, Anlei Jiao, Shiwei Sun, Longyang Dian, Xuefeng Cui:
Deep Representation Learning for Electron Ionization Mass Spectra Retrieval. 552-557 - Fanhao Meng, Feng Li, Yanru Gao, Daohui Ge, Rong Zhu, Junliang Shang:
Integrating Autoencoder and Multi-View Graph Convolutional Networks for Spatial Domains Identification. 558-564 - Shanchen Pang, Ruiqian Wang, Wenhao Wu, Hengxiao Li, Jiarui Wu, Yuanyuan Zhang, Shudong Wang:
scDCMAC: adaptive feedback clustering of scRNA-seq data with deep gene correlation mining. 565-572 - Wei Peng, Zhihao Ping, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
Sparse Attention-based Hierarchical Node Representation for Spatial Domain Identification. 573-578 - Xinyuan Shi, Fangfang Zhu, Wenwen Min:
Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis. 579-584 - Huayu Tao, Xinliang Sun, Yuxuan Chen, Min Li, Ruiqing Zheng:
scGDCC: Graph-based Dual Contrastive Calibration for Single Cell MultiOmics Clustering. 585-590 - Linqian Zhao, Yahan Li, Junliang Shang, Qianqian Ren, Yuanyuan Zhang, Jin-Xing Liu:
A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection. 591-596 - Feng Zhou, Yushuang He, Jiaxing Bai, Yichun Gao, Ying Wang:
ViPER: Virus-Prokaryote intEraction prediction using foundation model with hieraRchical contrastive learning. 597-602 - Xingyu Bi, Liping Kang, Xiaohui Wu:
Identification of cell-type-specific genes associated with autism by integrating gene expression and alternative polyadenylation profiles. 603-608 - Yuqi Chen, Feng Yang, Peng Jiang, Yuan Wang, Qiang Zhang, Juan Liu:
Deconvolution of spatial transcriptomics data based on multi-head dynamic GAT and optimal transport. 609-612 - Jinli Fan, Ruyi Shen, Xiaodi Huang, Yanju Zhang:
MATL: A deep neural network using multi-scale convolutions and transformer for transcription factor binding site prediction. 613-618 - Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min:
Masked adversarial neural network for cell type deconvolution in spatial transcriptomics. 619-622 - Lijuan Jia, Wen Wen, Zhaoxi Zhang, Jiaxin Zhong, Xiaoya Fan, Zengyou He, Ruitu Lyu, Zhong Wang:
KAS-former: a transformer-based model for predicting histone modifications using KAS-seq. 623-628 - Jingjing Liu, Yixuan Wang, Jian Zhao, Quan Wang, Haiqing Si, Xiaofeng Song:
Thioproline Modulates Gut Microbiota to Resist Colorectal Cancer. 629-632 - Shanchen Pang, Jiarui Wu, Wenhao Wu, Hengxiao Li, Ruiqian Wang, Yulin Zhang, Shudong Wang:
scKADE: Single-Cell Multi-Omics Integration with Kolmogorov-Arnold Deep Embedding. 633-638 - Qianqian Ren, Shaoyi Liu, Lianlian Zhang, Junliang Shang, Feng Li:
Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis Detection. 639-642 - Xin Wei, Wenjing Ma, Zhijin Wu, Hao Wu:
Target-oriented Reference Construction for supervised cell type identification in scRNA-seq. 643-646 - Zipeng Wu, Daniel Herring, Fabian Spill, James Andrews:
iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits. 647-652 - Zhongbo Yang, Zhenhao Lu, Xin Li, Tao Jiang, Yadong Wang, Yadong Liu:
Comprehensive evaluation of haplotype phasing tools with different strategies across diverse sequence technologies. 653-658 - Lanyu Zhang, Zhenxing Guo, Zhaohui Qin, Zhijin Wu:
m6A peak calling accounting for varying sequencing bias across regions and samples. 659-662 - Jibin Cheng, Cheng Chen, Guishan Cui, Haitao Jiang, Xuefeng Cui:
Revolutionizing Enzyme Turnover Predictions with Non-Binary Reaction Fingerprints and AI. 663-668 - Yanlin Fei, Yurui Li, Zhiling Zhou, Haohan Wang:
DiffSim: Aligning Diffusion Model and Molecular Dynamics Simulation for Blind Docking. 669-674 - Rongxu Guo, Cheng Chen, Jiaheng Sang, Guishan Cui, Fa Zhang, Xuefeng Cui, Shengying Li:
Advancing Template-Based Flexible Docking of P450-Heme Complexes via JAX MD. 675-680 - Dengdeng Huang, Shikui Tu:
MulMol: Transformer-based Multi-Task Molecular Representation Learning. 681-686 - Wenjun Li, Wanjun Ma, Mengyun Yang, Xiwei Tang:
MFCM-DTI model of multimodal feature fusion: prediction of drug-target interaction. 687-692 - Xin Li, Zishuai Wei, Shuang Wang, Peifu Han, Xue Li, Tao Song:
Semi-Template Retrosynthesis Prediction with 3D Spatial Structures and Reaction Center Disconnection Rules. 693-700 - Xiaoqing Lian, Jie Zhu, Tianxu Lv, Xiang Pan:
Interpretable Multi-domain Awareness Scheme for Drug-target Interaction Prediction. 701-706 - Xuan Lin, Xi Zhang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng, Philip S. Yu:
CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning. 707-712 - Dayan Liu, Tao Song, Shudong Wang:
MambaDTA: a novel Drug-Target Affinities prediction method with State-Space Model. 713-720 - Jiaqing Lyu, Changjie Chen, Bing Liang, Yijia Zhang:
Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance Diffusion for Virtual Screening. 721-726 - Tyler Rose, Charlotte Zhou, Nicolo Monti:
AffinityLM: Binding-Site Informed Multitask Language Model for Drug-Target Affinity Prediction. 727-734 - Sangmin Seo, Seungyeon Choi, Hwanhee Kim, Sanghyun Park:
PretrainedBA: Enhancing Compound-Protein Binding Affinity Prediction Accuracy via Pre-training Large-Scale Interaction Information. 735-742 - Peng Wang, Xiangqiong Wu, Wen Li, Jiaxin Chu, Nan Hu:
MDPAGCN: Predicting Microbe-Drug Associations based on Dual Attention Graph Convolution. 743-750 - Jiao Wang, Ge Kong, Juan Wang:
MLFF-DTA: A Multi-Level Feature Fusion Method for Predicting Drug-Target Binding Affinity. 751-758 - Xinlong Wen, Yifei Guo, Shuoying Wei, Wenhan Long, Lida Zhu, Rongbo Zhu:
Causal Invariant Hierarchical Molecular Representation for Out-of-distribution Molecular Property Prediction. 759-766 - Zhenpeng Wu, Jiamin Chen, Jianliang Gao:
Adaptive Drug Repositioning Prediction. 767-772 - Yulong Wu, Jin Xie, Jing Nie, Xiaohong Zhang, Yuansong Zeng:
Mamba-DTA: Drug-Target Binding Affinity Prediction with State Space Model. 773-778 - Feng Yang, Juan Liu, Qiang Zhang, Zhihui Yang, Jianghang Liu, Guangsheng Wu:
Subgraph-based Self-Supervised Learning Framework for Enzymatic Reaction Feasibility Prediction. 779-784 - Zhihui Yang, Feng Yang, Juan Liu:
Molecular Property Prediction by Contrastive Learning from Joint-Aggregator Neural Network. 785-790 - Yuhe Yang, Zhao-Yue Zhang, Xue-Qin Xie, Wei Su, Kejun Deng, Hao Lin:
Muli-Task Dual-view Model for Drug Combination Analysis: In Vivo and In Vitro Perspectives. 791-796 - Yao Yao, Yanfen Zheng, Xun Zhang, Xin Liu, Xiaokang Zhang, Bin Wang, Qiang Zhang:
Application of Static Virus Spread Algorithm in Base-Balanced DNA Fragment Optimization. 797-804 - Che Zhang, Ruohui He, Yanhao Fan, Xiaowen Hu, Yurong Qian, Lei Deng:
HGTRDA: Enhancing Prediction of ncRNA-Mediated Drug Resistance with Hypergraph Transformer. 805-810 - Dengwei Zhao, Shikui Tu, Lei Xu:
Novelty Encouraged Beam Clustering Search for Multi-Objective De Novo Diverse Drug Design. 811-816 - Kai Zhao, Yanmin Liu, Longyang Dian, Shiwei Sun, Xuefeng Cui:
How to Train Your Neural Network for Molecular Structure Generation from Mass Spectra? 817-822 - Xu Gong, Qun Liu, Rui Han, Li Liu, Yike Guo, Guoyin Wang:
APK-MRL: An Adaptive Pre-training Framework with Knowledge-enhanced for Molecular Representation Learning. 823-827 - Jiahe Li, Wenjie Du, Yang Wang:
MolCLW: Molecular Contrastive Learning With Learnable Weighted Substructures. 828-831 - Huiting Li, Weiyu Zhang, Yong Shang, Wenpeng Lu:
MBC-DTA: A Multi-Scale Bilinear Attention with Contrastive Learning Framework for Drug-Target Binding Affinity Prediction. 832-835 - Ying Li, Xiao Deng, Jingsong Lv, Hongyang Chen, Yao Yang:
LEMTL: Enhancing the pharmacokinetic predictions of multitask learning with existing pharmacokinetics. 836-841 - Po-Yu Liang, Xueting Huang, Tibo Duran, Andrew J. Wiemer, Jun Bai:
Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models. 842-847 - Haoran Liu, Xiaoli Lin, Jing Hu, Xiaolong Zhang:
A Multi Target Drug Design Method Based on Target Protein Sequence and Feature Similarity. 848-851 - Vaishali Pankaj, Inderjeet Bhogal, Sudeep Roy:
Unveiling HDAC8 antagonists for breast cancer therapy via molecular modeling. 852-855 - Bowen Song, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Tatsuya Akutsu:
Cycle-Configuration: A Novel Graph-theoretic Descriptor Set for Molecular Inference. 856-859 - Yulong Wu, Jin Xie, Jing Nie, Jian Hu, Yuansong Zeng:
Dual Interaction and Kernel-Diverse Network for Accurate Drug-Target Binding Affinity Prediction. 860-863 - Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu, Sophia Tsoka:
Pathway Activity Autoencoders for Enhanced Omics Analysis and Clinical Interpretability. 864-871 - Junyi Bian, Rongze Jiang, Weiqi Zhai, Tianyang Huang, Xiaodi Huang, Hong Zhou, Shanfeng Zhu:
DMNER: Biomedical Named Entity Recognition by Detection and Matching. 872-878 - Bin Chen, Qiu Xiao, Zhuo Huang, Tuo Xiong, Yide Yang, Jiancheng Zhong:
Multi-source Data-driven Drug Repositioning based on Deep Self-attention Network. 879-884 - Bolin Chen, Jinlei Zhang, Yourui Han, Jun Bian, Xuequn Shang:
The identification of stage-related driving factors in breast carcinoma based on network smoothing and gravity model. 885-890 - Yu Chen, Xingpeng Jiang, Weizhong Zhao:
AMPpred-DLFF: prediction of AMPs based on deep learning and multi-view features fusion. 891-896 - Shuai Cui, Xuan Zhang, Zizheng Nie, Haitao Jiang, Guishan Cui, Xuefeng Cui:
Enhanced Protein-Ligand Affinity Prediction with Conditional Updating and Proximity Embedding. 897-902 - Mingzhe Dai, Xiaoshuang Shi, Xiaofeng Zhu, Tingrui Pan, Kang Li:
Patch Target Guided Dual-Branch Deep Multiple Instance Learning for 3D MRI Analysis. 903-910 - Linjie Fu, Xia Li, Xiuding Cai, Xueyao Wang, Yali Shen, Yu Yao:
MD-Dose: A diffusion model based on the Mamba for radiation dose prediction. 911-918 - Junyu Gao, Min Zeng, Yiming Li, Fang Wang, Ruiqing Zheng, Jin Liu, Fei Guo, Min Li:
DP-BERT: a pre-trained deep language model for depression prediction using microarray data. 919-924 - Dongmei He, Xin Yang, Buchao Zhan, Zilong Zhang, Qingchen Zhang, Shankai Yan:
Augmented Mycobiome-Based Cancer Detection by an Interpretable Large Model. 925-931 - Yi He, Liwen Xu, Xiang Wang, Shaoliang Peng:
Interpretable deep learning quantifies the impact of genomic variations on CD8+ T cell infiltration. 932-937 - Yuxiang Huang, Huanhuan Ren, Yongmei Li, Jingfeng Jiang, Haodong Xu, Jinwang Feng, Shaoguo Cui:
CM-HTNet: CNN-Mamba-based Framework for Predicting Hemorrhagic Transformation Risk of AIS Patients using Sequence Relationship Modeling and Multi-Modal Cross Attention. 938-943 - Yuncheng Jiang, Zixun Zhang, Jun Wei, Chun-Mei Feng, Guanbin Li, Xiang Wan, Shuguang Cui, Zhen Li:
Let Video Teaches You More: Video-to-Image Knowledge Distillation using Detection TRansformer for Medical Video Lesion Detection. 944-949 - Yuanxiang Jiang, Mingjing Han, Yanbin Yin, Han Zhang:
TMGE: a multi-view graph embedding model for prediction task of genes associated with neurodegenerative diseases. 950-955 - Tao Jiang, Haiyang Jiang, Xinyi Ma, Minghao Xu, Yan Liang, Wentao Zhang:
MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification. 956-961 - Yongle Kong, Zhihao Yang, Ling Luo, Zeyuan Ding, Lei Wang, Wei Liu, Yin Zhang, Bo Xu, Jian Wang, Yuanyuan Sun, Zhehuan Zhao, Hongfei Lin:
Document Embeddings Enhance Biomedical Retrieval-Augmented Generation. 962-967 - Youhao Li, Yongzhi Huang, Qingchen Gao, Pindong Chen, Yong Liu, Liyun Tu:
Learning Interpretable and Robust Spatiotemporal Dynamics from fMRI for Precise Identification of Neurological Disorders. 968-975 - Enling Li, Lin Gao, Yusen Ye:
CellFeature: Cell and Feature Co-Embedding from Single-Cell Multi-Omics with Heterogeneous Graph Model. 976-981 - Jiru Li, Yuanyuan Sun, Zhihao Yang, Ling Luo, Lei Wang, Wei Liu, Yin Zhang, Bo Xu, Jian Wang, Yumeng Yang, Zhehuan Zhao, Hongfei Lin:
Biomedical Document-level Relation Extraction with Coreference and Anaphor Graphs. 982-987 - Tianhao Li, Yugui Xu, Sihan He, Yuhang Liu, Zixuan Wang, Zhigan Zhou, Yongqing Zhang, Quan Zou:
Cell-Specific Highly Correlated Network for Self-Supervised Distillation in Cell Type Annotation. 988-993 - Xutao Li, Min Xu, Ximiao Zhang, Sihua Niu, Jiaan Zhu, Xiuzhuang Zhou:
CEUS-SAM: Cross-Modal Prompt-Based SAM Network for Breast CEUS Image Segmentation. 994-999 - Jiawei Li, Shizhan Chen, Zongbo Han, Wei Li, Jijun Tang, Fei Guo:
Multi-Task Driven Multi-Level Dynamical Fusion for Single-Cell Multi-Omics Cell Type Annotation. 1009-1014 - Ziqi Liu, Tao Bai, Dongdong Jiang, Bin Liu, Liang Yu:
MVLncStack: A novel method for lncRNA subcellular localization prediction based on multi-view features. 1015-1020 - Ruomei Liu, Shangzhe Li, He Zhu, Yue Hou, Xingyu Peng, Haitao Yuan, Junran Wu, Ke Xu:
IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction. 1021-1027 - Pei Liu, Ying Liu, Jiawei Luo, Yue Li:
MiRGraph: A hybrid deep learning approach to identify microRNA-target interactions by integrating heterogeneous regulatory network and genomic sequences. 1028-1035 - Haifeng Liu, Nan Zhao, Junsheng Zhou, Weiguang Qu, Zheyan Ji:
Chiral Molecular Graph Encoder for Medication Recommendation. 1036-1041 - Haifeng Liu, Qiuyu Long, Nan Zhao:
Dual-Branch Contrast Enhancement for Drug Repositioning. 1042-1047 - Yang Liu, Weiyu Zhang, Jiasheng Si, Zhao Li, Xueping Peng, Wenpeng Lu:
Generating Personalized Imputations for Patient Health Status Prediction in Electronic Health Records. 1048-1053 - Wenjuan Liu, Jianbang Xu, Liangrui Pan, Tie Cai, Shaoliang Peng:
ParaSAT: a scalable parallel framework for sequence alignment. 1054-1059 - Mianshuo Lu, Lei Wang, Jinzhu Sun, Yang Li, Mengmeng Wei, Yu Wei, Changchun Liu, Zhengwei Li:
Predicting CircRNA-Disease Associations Through Non-negative Matrix Factorization and Adversarially Regularized Variational Graph Autoencoder. 1060-1065 - Shuyi Lu, Xiaojie Wang, Yuanfeng Zhou:
Utilizing Genetic Feature Augmentation and CAM Consistency for Enhanced Classification of Imbalanced Skin Lesion Data. 1066-1071 - Xing Lv, Weizhong Zhao, Xinhui Tu, Tingting He:
Predicting Protein-ligand Binding Affinity via Molecular Mechanics-guided Graph Aggregation. 1072-1077 - Tian-Fang Ma, Xuan-Hao Liu, Wei-Long Zheng, Bao-Liang Lu:
Emotion Recognition from Eye Movements Using Multi-way Autoregressive Model. 1078-1084 - Thomas Milton, Robert Lieck:
Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning. 1085-1091 - Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Guangsheng Wu, Shunfang Wang:
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. 1092-1097 - Wenxuan Mu, Di Zhao, Jiana Meng, Shuang Liu, Hongfei Lin:
Few-shot Biomedical NER via Multi-task Learning and More Fine-grained Grid-tagging Strategy. 1098-1103 - Tianxiang Ouyang, Zhijian Huang, Lei Deng:
Enhancing miRNA-Disease Prediction with Attention-Based Multi-View Contrastive Learning. 1104-1109 - Kai Pan, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Joint Super-Resolution and Modality Translation Network for Multi-Contrast Arbitrary-Scale Isotropic MRI Reconstruction. 1110-1115 - Zhen Pan, Huili Zhang, Mingquan Jin, Maoling Qin, Wenhui Huang:
Uncertainty Guided Incremental Interactive Medical Image Segmentation with Sparse Variational Gaussian Process. 1116-1121 - Li Peng, Wang Wang, Cheng Yang, Wenhui Xiao, Xiangzheng Fu, Yifan Chen:
Dual-Stream Heterogeneous Graph Neural Network Based on Zero-Shot Embeddings for Predicting miRNA-Drug Sensitivity. 1122-1128 - Huamei Qi, Wenqin Zou, Sen Fu, Lei Deng:
A Self-Attention Synthesizing Model with Privacy-Preserving(ACCT-GAN) for Medical Tabular Data. 1129-1134 - Jiewei Qi, Ling Luo, Zhihao Yang, Jian Wang, Huiwei Zhou, Hongfei Lin:
An Improved Method for Phenotype Concept Recognition Using Rich HPO Information. 1135-1140 - Lihong Qiao, Long Cheng, Yucheng Shu, Xiao Luan, Bin Xiao:
Learning from Inside: Self-driven Intra-modality Siamese Knowledge Generation and Inter-modality Alignment for Chest X-rays Vision-Language Pre-training. 1141-1148 - Tongfei Shen, Miaozhe Huo, Wan Nie, Kaiqi Li, Ziwei Ma, Xikang Feng, Shuai Cheng Li:
DeepTAPE: Enhancing Systemic Lupus Erythematosus Diagnosis with Deep Learning Based on TCRβ CDR3 Sequences. 1149-1154 - Tianyi Shi, Xiucai Ye, Dong Huang, Tetsuya Sakurai:
Selecting interpretable features for cancer subtyping on multi-omics data. 1155-1160 - Jia Song, Wanru Zhuang, Yujie Lin, Liang Zhang, Chunyan Li, Jinsong Su, Song He, Xiaochen Bo:
Towards Cross-Modal Text-Molecule Retrieval with Better Modality Alignment. 1161-1168 - Fuxiang Tao, Xuri Ge, Wei Ma, Anna Esposito, Alessandro Vinciarelli:
Cross-Data Multilevel Attention for Depression Detection: Analyzing the Interplay Between Read and Spontaneous Speech. 1169-1176 - Zhimeng Tian, Zizheng Nie, Yong Zhang, Daming Zhu, Xuefeng Cui:
How to Integrate Non-Sequence Features for Peptide Collision Cross Section Prediction with Deep Learning? 1177-1182 - Han Wang, Yunhe Li, Yannuo Feng, Kexin Shen, Chang Lu, Zhongshi Xie:
DeepCRC: Precision Colorectal Cancer Diagnosis Using Deep Learning and Metagenomic Biomarkers. 1183-1190 - Lei Wang, Jianping Zhu, Le Du, Bo Jin, Xiaopeng Wei:
FreAML: A Frequency-Domain Adaptive Meta-Learning Framework for EEG-Based Emotion Recognition. 1191-1198 - Zheng Wang, Lei Wang, Zhu-Hong You, Lei Wang, Yang Li, Zhenyu Wang:
EELMCDA: Combining evolutionary ensemble learning with matrix feature decomposition for predicting circRNA-disease associations. 1199-1206 - Wei Wang, Yuxian Wang, Jiajie Peng:
Identifying brain disease genes via integrating brain imaging and molecular network. 1207-1212 - Bo Wang, Wei Liu, Jiawei Luo, Xiangtao Chen, Chee Keong Kwoh:
SMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data. 1213-1218 - Jinxian Wang, Weikang Jiang, Jihong Guan, Shuigeng Zhou:
CIRCLE: scRNA-seq Data Clustering by Cluster-aware Iterative Contrastive Learning. 1219-1225 - Yeqiang Wang, Sharen Yun, Yuchen Zhang, Xiujuan Lei:
Prediction of miRNA-Disease Associations Based on Hybrid Gated GNN and Multi-Data Integration. 1226-1231 - Zhenang Wang, Yingbo Cui, Jiandong Shang, Boya Ji, Jianan Li, Shaoliang Peng:
MinimapPool: an improved flexible and efficient parallel algorithm based on minimap2. 1232-1237 - Yu Wei, Lei Wang, Chang-Qin Yu, Shuo Yang, Mengmeng Wei, Zhu-Hong You:
Drug-Drug Interaction Prediction Based on Probability Transfer Multi-modal Feature Representation Learning. 1238-1243 - Duo Xi, Dingnan Cui, Minjianan Zhang, Jin Zhang, Muheng Shang, Lei Guo, Lei Du, Junwei Han:
Identification of disease-related genetic variants and imaging factors leveraging summary statistics. 1244-1249 - Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar:
GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. 1250-1256 - Haiqiang Xiao, Xiujuan Lei, Yuchen Zhang, Fang-Xiang Wu:
Drug Combination Side Effect Prediction Based on Polypharmacy Network and GraphSAGE Algorithm. 1257-1262 - Jiancong Xie, Zhe Zhang, Youyou Li, Jiahua Rao, Yuedong Yang:
Interpretable Drug Response Prediction through Molecule Structure-aware and Knowledge-Guided Visible Neural Network. 1263-1268 - Yang Xiong, Zheng Zhang, Xiangan Chen:
Improving Deep Learning Model for Drug Synergy Prediction via Topological Features. 1269-1274 - Ruipeng Xu, Shuoqiu Gan, Feng Zhao, Zhentao Zuo, Tiangang Zhou:
Bimodality Approach to Mental Disorder Diagnosis via Dual-pathway Fusion Perceptual Network. 1275-1282 - Bo Xu, Xuening Qiao, Xiaokun Zhang, Jiahui Wan, Xinyue Liu, Linlin Zong, Hongfei Lin:
Modeling Implicit Emotion and User-specific Context for Malevolence Detection in Mental Health Counseling Dialogues. 1283-1288 - Yaning Yang, Jiawei Wang, Xiaoqi Wang, Liwen Xu, Liangrui Pan, Shaoliang Peng:
TranSVPath: A TabTransformer-Based Model for Predicting the Pathogenicity of Structural Variants. 1289-1295 - Qian Yang, Lijun Liu, Xiaobing Yang, Li Liu, Wei Peng:
Cross-Guided Attention and Combined Loss for Optimizing Gastrointestinal Visual Question Answering. 1296-1301 - Zeyu Yao, Qingchen Zhang:
GCLM-CDR: a graph contrastive learning method with multi-omics for cancer drug response prediction. 1302-1307 - Liang Yu, Xiang Wu, Yan Li, Zhaoyang Huang, Ziqi Liu:
MTTSCL: protein subcellular localization prediction using multi-task learning. 1308-1313 - Qianshi Yuan, Sheng Tian, Changpeng Xiang, Xiaomei Wei:
Multi-view Feature Fusion and Contrastive Learning for Microbe-disease Association Prediction. 1314-1320 - Zelin Zang, Liangyu Li, Yongjie Xu, Jiahao Li, Chenrui Duan, Yi Sun, Zhen Lei, Stan Z. Li:
MuST: Maximizing the Latent Capacity of Spatial Transcriptomics Data with Multi-modality Structure Transformation. 1321-1326 - Zitong Zhang, Zhixian Wang, Lingling Zhao, Junjie Wang, Chunyu Wang:
Multimodal Contrastive Learning for Protein-Protein Interaction Inhibitor Prediction. 1327-1333 - Wei Zhang, Tong Chen, Wenxin Xu, Xinyue Li:
SAMamba: Integrating State Space Model for Enhanced Multi-modal Survival Analysis. 1334-1341 - Jiayu Zhang, Dexuan Xu, Yanyuan Chen, Yiwei Lou, Yue Huang:
Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation. 1342-1349 - Yidan Zhang, Lei Duan, Huiru Zheng, Haiying Wang, Yongmei Lu, Wen Wang, Xin Sun:
DDTExplainer: Mining Drug-Disease Therapeutic Mechanisms based on GNN Explainability. 1350-1355 - Fengyu Zhang, Jianyuan Yuan, Yimeng Qiu, Hongfei Lin, Yijia Zhang:
Rethinking Logical Reasoning Design for Document-level Biomedical Relation Extraction. 1356-1361 - Qian Zhang, Deqiang Xiao, Danni Ai, Jingfan Fan, Tianyu Fu, Shuo Yang, Hong Song, Jian Yang:
Deformation Correction in Laparoscopic Liver Surgical Navigation Using Point Cloud Completion and Biomechanical Model. 1362-1369 - Jin Zhang, Minjianan Zhang, Lei Guo, Daoqiang Zhang, Lei Du:
Disentangling Disease-sensitive Multimodal Neuroimaging Phenotypes and Related Genetic Factors: A Multimodal Study of ADNI Cohort. 1370-1375 - Jin Zhao, Qian Guo, Jiaqing Liang, Zhixu Li, Yanghua Xiao:
Effective In-Context Learning for Named Entity Recognition. 1376-1382 - Feng Zhou, Fengjun Xi, Yanjie Zhou, Di Hu, Liyun Tu, Yun Peng:
Robust One-Shot Brain Tissue Segmentation via Patch-wise Contrastive Learning and Dual-Head Variational Autoencoder. 1383-1390 - Chenlian Zhou, Xinhui Tu, Tingting He, Weizhong Zhao, Cong Guo, Rui Fan, Yinghao Xiong:
Concept-based Biomedical Text Expansion via Large Language Models. 1391-1396 - Haoran Zhu, Tong Yu, Ling Ge, Jianjia Wang:
DGPDHGCN: A Heterogeneous Graph Convolutional Network Method for Predicting Drug-Disease Associations. 1397-1402 - Xiaoshu Zhu, Jiahui Liu, Wei Lan, Fei Teng:
A Hybrid Algorithm based on Autoencoder and Text Convolutional Network for Integrating scATAC-seq and scRNA-seq Data. 1403-1407 - Dingzhou Zhu, Guoheng Huang, Xiaochen Yuan, Xuhang Chen, Guo Zhong, Chi-Man Pun, Jie Deng:
FAQNet: Frequency-Aware Quaternion Network for Endoscopic Highlight Removal. 1408-1413 - Chi Zhu, Fengcui Qian, Yongbin Liu, Ying Yu, Chunquan Li, Chunping Ouyang:
PEGCN: A Single-Cell Type Annotation model based on GCN with Pseudo Labels and Ensemble Learning. 1414-1421 - Mingyuan Bi, Junliang Shang, Xiaotong Kong, Feng Li, Yuanyuan Zhang, Jin-Xing Liu:
A multi-objective genetic algorithm based on neighborhood coevolution for community detection. 1422-1425 - Ahmad Chaddad, Yuchen Jiang, Jianjie Ou:
Reinforcement Learning for Enhancing Classifier Performance. 1426-1429 - Yuhan Chen, Chunshi Wang, Bin Zhao:
DCA-Net: Data-Driven Collaborative Assistance Network for Semi-supervised Medical Segmentation. 1430-1437 - Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao:
GeneSum: Large Language Model-based Gene Summary Extraction. 1438-1443 - Xinrun Chen, Mei Shen, Haojian Ning, Mengzhan Zhang, Chengliang Wang, Shiying Li:
CAVE-OCTA: A Vessel Expressions Controlled Diffusion Framework for Synthetic OCTA Image Generation. 1444-1448 - Yifei Chen, Weizhong Zhao, Xinhui Tu, Tingting He:
An Improved Prediction Model for Phage-host Interactions Based on Fusing Global and Local Semantics of RBP Information. 1449-1452 - Jiabei Cheng, Jiachen Li, Kaiyuan Yang, Hongbin Shen, Ye Yuan:
GenoHoption: Bridging Gene Network Graphs and Single-Cell Foundation Models. 1453-1456 - Douglas B. Craig, Sorin Draghici:
What's the data say? An LLM-based system for interrogating experimental data. 1457-1462 - Wentao Cui, Shoubo Li, Chen Fang, Qingqing Long, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou:
Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction. 1463-1468 - Yuwei Dai, Yingwei Zhang, Yiqiang Chen, Yang Gu, Yuan Jin, Wei Zhang:
Utilizing Attention-based Ensemble Mechanism to Identify Discriminative Feature Combinations for Sleep Staging. 1469-1474 - Wanying Dou, Samuel K. Lee, Kiran V. Garimella:
A framework for hyperparameter optimization of genomic cloud pipelines: improving the performance of GATK VETS variant filtration. 1475-1478 - Qi Du, Feng Wang, Hui Huang, Heng Wan, Xiaoyu Wu, Chengkun Wu:
Exploring Natural Language Processing Model Acceleration in Molecular Dynamics Simulation Using High-Performance Computing and Machine Learning. 1479-1484 - Lin Fan, Xun Gong, Cenyang Zheng, Yafei Ou:
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis. 1485-1488 - Xing Fang, Chenpeng Yu, Shiye Tian, Hui Liu:
A large language model for predicting T cell receptor-antigen binding specificity. 1489-1492 - Melisa Granda, Alberto Garcés-Jiménez, Francisco Javier Bueno-Guillén, Diego María Rodriguez-Puyol, José Manuel Gómez-Pulido:
Analysis of Imputation Techniques and Classification Types in the Improvement of Early Diagnosis of Infectious Diseases in Elderly People. 1493-1496 - Shihuan He, Zhihui Lai, Heng Kong:
Low-confidence Heterogeneous Pixel-Prototype Contrastive Learning for Semi-supervised Medical Image Segmentation. 1497-1502 - Daosong Hu, Ruomeng Wang, Liang Zhao, Mingyue Cui, Song Ding, Kai Huang:
4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole. 1503-1506 - Long Hu, Qingyi Yang, Rui Wang, Yixue Hao, Min Chen, Yijun Mo:
SE-DCFN: Semantic-Enhanced Dual Cross-modal Fusion Network for Depression Recognition. 1507-1512 - Xifeng Hu, Jingchuan Wang, Wenmiao Wang, Lei Shi, Xiaoyun Yang, Weifeng Hu, Zhi Liu, Yujun Li:
Multi-dimensional Spatio-temporal Prediction Network for Pre-hospital Emergency Care. 1513-1516 - Shiqi Hua, Dunbo Ning, Wei Xie, Hao Sun:
Segmentation Foundation Model-Aided Medical Image Segmentation. 1517-1521 - Yin Huang, Geng Chen, Xuyun Wen, Dinggang Shen:
Multi-Modal Brain Graph Learning of Shared-Specific Features for Schizophrenia Diagnosis. 1522-1525 - Wenhao Jiang, Zhiguo Lin, Kaixuan Wang, Shihang Ding, Chunying Fang, Hongjian Bo, Cong Xu, Shengkun Yu, Tianyu Wang, Yifei Gu, Tiejun Zhao, Haifeng Li:
Exploring the Neural Dynamics in Temporal Lobe Epilepsy: A Study using Transformer and Hidden Markov Models. 1526-1531 - Song Jiang, Haodong Wang, Yue Huang, Weizhong Zhao, Xianjun Shen:
Predicting Microbe-Disease Association Based on Enhanced Relational Graph Convolutional Networks. 1532-1535 - Xu Jin, Maoqiang Xie, Yalou Huang, Mingming Liu, Desheng Kong, Yuhang Xuan, Yang Kuang:
Predicting Distant Drug-Target Interactions via a Random Walk Guided Graph Neural Network. 1536-1541 - Turkay Kart, Mohanad Alkhodari, Winok Lapidaire, Abhirup Banerjee, Adam J. Lewandowski, Paul Leeson:
Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures. 1542-1547 - Wen Kong, Weizhong Zhao, Tingting He:
A Dual-Modal Contrastive Learning Framework for Antimicrobial Peptides Classification. 1548-1551 - Limin Li, Kuo Yang, Wenjie Du, Zhongchao Yi, Zhengyang Zhou, Yang Wang:
EMoNet: An environment causal learning for molecule OOD generalization. 1552-1556 - Huifa Li, Jie Fu, Xinpeng Ling, Zhiyu Sun, Kuncan Wang, Zhili Chen:
Single-cell Curriculum Learning-based Deep Graph Embedding Clustering. 1557-1562 - Tao Li, Shunxi Zhang, Haoyue Ma, Jianyu Li, Jiucheng Xu:
A Novel Co-evolutionary Particle Swarm Optimization Method for Biomarker Selection and Disease Classification. 1563-1568 - Xinyv Li, Cen Chen, Jamie Cui:
FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning. 1569-1572 - Wenqiang Li, Luyang Luo, Hao Chen:
Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation. 1573-1578 - Xiaoli Li, Rui Zhang, Saba Aslam, Huijun Li, Yuxi Chen, Zequn Zhang, Ruey-Song Huang, Hongyan Wu:
scMonica: Single-cell Mosaic Omics Nonlinear Integration and Clustering Analysis. 1579-1583 - Xiaoli Lin, Yaoyu Chen, Wenli Yang, Haiping Yu, Zimo Wu, Xiaolong Zhang:
Detecting DTI Using Graph Embedding and Multi-Head Attention Mechanism. 1584-1587 - Xiaoli Lin, Wenli Yang, Yaoyu Chen, Xiongwei Liao, Zimo Wu, Xiaolong Zhang:
ResPocket: A Multi-Scale Feature Fusion Method for Improving Protein Binding Site Detection. 1588-1591 - Rukai Liu, Bing Jia, Baoqi Huang, Winston K. G. Seah, Fei Hao, Dongjun Liu:
GT-KGCN: Gene Essentiality Prediction with Graph Transformer and Kolmogorov-Arnold Network. 1592-1595 - Xiaoning Liu, Jie Wang, Dongcheng Tuo, Jiaqi Jiang, Zenglei Liang, Wenkai Jiang:
A skull-face translation network used for generating faces from skulls. 1596-1599 - Mingzhou Liu, Zheyu Wang, Feng Liu:
MDDMamba: A Model for Multi-Modal Depression Detection with a Memory-Saving Cross-Modal Attention Mechanism Based on Mamba. 1600-1605 - Wanling Liu, Wenhuan Lu, Qian Sun, Fei Chen, Bo Wang, Wenxin Zhao:
Real-Time Double-Layer Graph Attention Networks for Parathyroid Detection. 1606-1610 - Ang Liu, Yafang Huang, Yuehong Wu, Siwei Liu, Shangsong Liang:
Active Learning for Multi-Class Drug-Drug Interactions Prediction. 1611-1615 - Shuning Liu, Huizhen Chen, Rongkai Liu, Heyuan Shi, Chao Hu, Ronghua Shi:
BiotaFormer: Detecting biota in microscopic activated sludge images for wastewater treatment. 1616-1619 - Jixin Ma, Hongjian Yu, Zhijiang Du, Xin Hua, Zibo Li, Hui Zhao:
MRI Super-Resolution via Hybrid Information Enhancement Network based on Multi-Attention and Adaptive Convolution. 1620-1625 - Luntian Mou, Peize Li, Wenjie Chen, Lei Ma, Tiejun Huang:
E/I Balanced Adaptive Sequential Neural Posterior Estimation for Inferring the Connection Weights in Mouse V1 Model. 1626-1629 - Jintong Nie, Huan Liu, Fajun Huang, Huarong Chen, Minzhong Luo:
Improving Metagenomic Binning of Long Reads via Feature Fusion and Graph SAGE. 1630-1634 - Xiaoyu Qi, Jiashuang Huang, Xueyun Cheng, Mingliang Wang, Weiping Ding:
Fuzzy Knowledge Distillation Model for Incomplete Multi-modality Data and Its Application to Brain Network Analysis. 1635-1638 - Lina Qiu, Xianyue Song, Zuorui Ying, Weisen Feng, Liangquan Zhong, Jiahui Pan:
MC-FAW: A Multi-Scale Convolutional Feature Adaptive Weighting Fusion Network for Detecting Disorders of Consciousness. 1639-1644 - Jing Qu, Ying Qu, Xueliang Bai, Lanxin Xu, Han Wang, Guixia Liu:
Multimodal Medical Image Feature Representation and Fusion for AD Early Diagnosis. 1645-1648 - Carl Schmitz, Jacob Bradford, Robert Salomone, Dimitri Perrin:
Fast and scalable off-target assessment for CRISPR guide RNAs using partial matches. 1649-1654 - Tao Song, Siyu Zhang, Xiangyu Meng, Zeyang Zhu, Xianxi Zhu, Xun Wang:
DCUI-MGraphDTA: Enabling Efficient Inference of a Drug-Target Binding Affinity Prediction Model on DCUs. 1655-1660 - Yichen Song, Chenxi Xia, Simengxu Qiao, Changdi Li, Qunshan He, Xinggao Liu:
LCCH: A low computational complexity hybrid model based on the half-router attention for biopharmaceutical indicators prediction. 1661-1665 - Xiaozhuang Song, Xu Liao, Hangting Ye, Yaoyao Xu, Wei Fan, Jin Liu, Tianshu Yu:
Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization. 1666-1673 - Wan Su, Fan Wang, Rundong He, Zhongyi Han, Yilong Yin:
Navigating the Unknown: A Novel MGUAN Framework for Medical Image Recognition Across Dynamic Domains. 1674-1679 - Shichang Sun, Zhihao Yang, Hongfei Lin, Jiana Meng, Jincheng Zhang, Rui Wang:
Efficient Style Transfer for Computational Pathology with Cross-modality Local Manipulation. 1680-1683 - Xiaoming Wang, Lei Liu, Xiangdong Su, Yuhan Yang, Guanglai Gao:
Learning Frequency Adaptation for Cross-domain Medical Image Segmentation. 1684-1689 - Zhangchi Wang, Yijin Huang, Yidu Wu, Pujin Cheng, Li Lin, Qinghai Guo, Xiaoying Tang:
Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification. 1690-1694 - Rui Wang, Wanli Yang, Kuntao Xiao, Yi Sun, Shurong Sheng, Zhao Lv, Jiahong Gao:
DL2G: Anatomical Landmark Detection with Deep Local Features and Geometric Global Constraint. 1695-1700 - Sehee Wang, So Yeon Kim, Kyung-Ah Sohn:
Graph-Aware Unsupervised Feature Scoring Using Reconstruction Errors in GNN Embeddings. 1701-1704 - Wei Wang, Xianda Bu, Qince Li, Kuanquan Wang:
3D Electromechanical Coupling Simulation Under Heart Failure: Exploring Reentry Phenomena and Arrhythmogenesis. 1705-1709 - Ying Xiong, De-Zhi Jin, Ye He:
Self-Supervised Temporal-Connectivity Contrastive Learning for fMRI Analysis on Autism Spectrum Disorder Classification. 1710-1713 - Sheng Xu, Yi Hong:
Enhancing Atlas Construction via Edge-Assisted 3D Latent Diffusion Models for Brain MRI Generation. 1714-1719 - Xiaoming Yan, Liyang Xu, Haoang Chi, Huihui Yang, Huan Chen, Yuhua Tang:
A Graph Embedded Feature Decoupling Model for Clustering Single Cell RNA-seq Data. 1720-1725 - Jia Yao, Ruichen Rong, Tao Wang, Guanghua Xiao:
SegPath-YOLO: A High-Speed, High-Accuracy Pathology Image Segmentation and Tumor Microenvironment Feature Extraction Tool. 1726-1731 - Lei Ye, Shanjie Ma, Jianhua Li:
Improving TCM Prescription Recommendation with Diffusion and Asymmetric Loss. 1732-1737 - Guangjian Zeng, Xiaxia Yu, Siyuan Tao, Weiye Zhou, Momiao Xiong, Shenying Fang:
BiDNAMamba: Pre-trained Bidirectional State Space Model for Motif Analysis in DNA. 1738-1743 - Fengyu Zhang, Jianyuan Yuan, Yimeng Qiu, Hongfei Lin, Yijia Zhang:
Just Single Reasoning! A Hierarchical Network for Document-level Biomedical Relation Extraction with Multi-Granularity Learning. 1744-1747 - Lin Zhang, Wenbo Gao, Jie Yi, Yunyun Yang:
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation. 1748-1751 - Zhengqian Zhang, Binghong Chen, Jialiang Wang, Haiyu Wang, Tianshuo Yu, Junjun Ren, Mingtao Zhang, Chongyao Liu, Wei Jiang, Yongzhuang Liu:
Robust 3D reconstruction and cell-type deconvolution approach for spatial transcriptomics by hybrid graph learning and iterative computation. 1752-1757 - Yi Zhou, Xian Guan, Meixuan Wu, Chengzhou Ouyang, Min Zhu:
Timely-MDA: A Benchmark for Generalizable MiRNA-Disease Association Prediction. 1755-1758 - Chenyu Zhang, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin:
FuncNet: A Machine Learning Framework Capable of Enhancing Neural Cell Type Classification via Functional Subtype Clustering. 1758-1762 - Zhihao Zhao, Yinzheng Zhao, Junjie Yang, Kai Huang, Nassir Navab, M. Ali Nasseri:
KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation. 1763-1766 - Shifeng Zhao, Yanyang Li, Yun Tian, Xiaoxuan Zhang, Jinxiao Xiao, Lianming Wu:
Analysis of the Discriminability of Three Types of CMR Image Features for Cardiomyopathy. 1767-1770 - Guichun Zhou, Xiangdong Zhou:
Multivariate Time Series Representation Learning for Electrophysiology Classification with Procedure State Cross-domain Embedding. 1771-1774 - Xinlei Zhu, Pengjiang Qian, Chuang Wang, Li Liu, Ming Gao, Weiwei Cai, Eddie Yin-Kwee Ng:
MMFNet: A Multi-modal and Multi-attention Fusion Network for Multi-task Skin Disease Classification. 1779-1782 - Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Zhenpeng Wu, Monir Abdullah, Xiaohua Hu:
M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions. 1783-1788 - Ying An, Ruping Qiu, Lin Guo, Xianlai Chen:
Attention-based Multimodal Fusion with Adversarial Network for In-Hospital Mortality Prediction. 1789-1795 - Gairui Bai, Wei Xi, Jialin Zhuo:
Adapting Multi-view Correlation Learning for Enhanced Cervical Dysplasia Diagnosis. 1796-1801 - Ronald Bbosa, Jia Ni Zou, Kafui Efio-Akolly, Yi-Ping Phoebe Chen, Wen Cai Huang, Feng Liu:
SCS-Voxel2Mesh: a Self-Calibrated Separable 3D Mesh Generation Network for Lung Nodule Spikes Classification and Malignancy Prediction. 1802-1807 - Chengfei Cai, Jun Li, Mingxin Liu, Yiping Jiao, Jun Xu:
SeqFRT: Towards Effective Adaption of Foundation Model via Sequence Feature Reconstruction in Computational Pathology. 1808-1815 - Wenjie Cai, Tao Tang, Lingming Kong, Ying Zhou, Jun Huang, Qingfeng Wang, Jing Li:
DETR-SAM: Combining Feature-Fused DETR Detector and Fine-Tuned SAM for Automatic Aortic Dissection Segmentation in CTA Image. 1816-1823 - Xiangwen Cai, Haijun Lei, Hai Xie, Guoming Zhang, Baiying Lei:
GL-DAE: Global-Local Denoising Auto-Encoder for Fundus Images Quality Representation Learning. 1824-1829 - Ning Cao, Xin Wen, Yanrong Hao, Ruochen Cao, Chengxin Gao, Rui Cao:
A Lightweight End-to-End Three-domain Feature Fusion Network for Motor Imagery Decoding. 1830-1837 - Ruifen Cao, Zeyu Kai, Qi Hu, Yun Ding, Pi-Jing Wei, Chunhou Zheng, Dayu Tan:
DAMNet: A Network Based on Dual Attention and Multi-Resolution Inputs for the Segmentation of Thoracic and Abdominal Organs. 1838-1845 - Yankun Cao, Guanjie Sun, Qing Cai, Xiaoxiao Cui, Lizhen Cui, Wenmiao Wang, Zhi Liu, Yuezhong Zhang:
SRMAR: Spatiotemporal Representation for Motion Artifact Removal in Intravascular Ultrasound. 1846-1851 - Fangda Chen, Jintao Tang, Pancheng Wang, Ting Wang, Shasha Li, Ting Deng:
DEAP-3DSAM: Decoder Enhanced and Auto Prompt SAM for 3D Medical Image Segmentation. 1852-1859 - Yihan Chen, Ruoqi Wang, Yu Shao, Baijiang Xu, Bo Xu, Liang Zhao:
Alzheimer's Disease Prediction with Irregular MRI Sequences Based on Pyramid Squeeze Attention and Time-Sensitive Attention Mechanisms. 1860-1865 - Haotian Chen, Yonghui Xu, Yanyu Xu, Yixin Zhang, Lizhen Cui:
Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation. 1866-1873 - Ke Chen, Xiaosong Han, Xiaoran Li, Yanchun Liang, Dong Xu, Renchu Guan:
PNESR-DDI: An Effective Drug-Drug Interaction Prediction Model Based on Pretraining Method and Enhanced Subgraph Reconstruction. 1874-1881 - Hailong Chen, Yangyang Zhang, Zhengxia Wang:
ACNet: Enhancing Occlusion Awareness and Multi-Scale feature Capture for Cervical Cell Segmentation. 1882-1889 - Ziming Cheng, Shidong Wang, Tong Xin, Haofeng Zhang:
Frequency-aware Adaptive Filtering Network for Few-Shot Medical Image Segmentation. 1890-1897 - Shan Cong, Zhoujie Fan, Hongwei Liu, Yinghan Zhang, Xin Wang, Haoran Luo, Xiaohui Yao:
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data. 1898-1904 - Shan Cong, Zhiling Sang, Hongwei Liu, Haoran Luo, Xin Wang, Hong Liang, Jie Hao, Xiaohui Yao:
MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification. 1905-1910 - Ran Cui, Hanna Suominen, Christopher J. Nolan, Elena Daskalaki:
Meta-optimised Time-index Modeling for Glucose Excursion Prediction. 1911-1918 - Hanyang Dong, Shurong Sheng, Xiongfei Wang, Jia-Hong Gao, Yi Sun, Wanli Yang, Kuntao Xiao, Pengfei Teng, Guoming Luan, Zhao Lv:
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior. 1919-1926 - Yutao Dou, Zike Deng, Tao Xing, Jian Xiao, Shaoliang Peng:
Autonomous Pharmaceutical Care with Large Language Models. 1927-1932 - Xuanhan Fan, Menghui Zhou, Yu Zhang, Jun Qi, Yun Yang, Po Yang:
Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. 1933-1938 - Fan Gao, Yuanbo He, Shuai Li, Aimin Hao, Meiyun Wang, Desen Cao:
SL-SFGR: Segmentation Learning Coupling Spatial-Frequency Structure Information Enhancement for Guiding Registration. 1939-1946 - Nan Gao, Junchao Zhu, Peng Chen, Jijun Tang, Feng Jiang, Ronghua Liang:
ACPNet: Enhancing Small-Scale Dieases Detection in Panoramic X-rays. 1947-1953 - Mingyu Gou, Ying-Jie Zhang, Ren-Jie Dai, Hao-Long Yin, Tianzhen Chen, Fei Cheng, Bao-Liang Lu, Jiang Du, Wei-Long Zheng:
Addressing Temporal and Auditory Factors in Meditative EEG with Self-Supervised Learning. 1954-1959 - Jin Gu, Fei Xiong, Xinhao Gong:
EEG-based Cross Subject Emotion Recognition based on collaborative learning and dynamic distribution adaptation. 1960-1965 - Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu, Laurent Najman:
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation. 1966-1973 - Ziyin Gu, Qingmeng Zhu:
MENTALER: Toward Professional Mental Health Support with LLMs via Multi-Role Collaboration. 1974-1979 - Cunhan Guo, Heyan Huang, Changsen Yuan, Yanghao Zhou:
Leveraging Vote and Cooperate Mechanism for Brain Tumor Segmentation. 1980-1987 - Lin Guo, Qianyun Zhan, Nan Ma, Ying An:
DAMAL: Data Augmentation Aided Multi-channel Attention Fusion Network for Multi-label Myocardial Infarction Localization. 1988-1995 - Sahand Hamzehei, Afsana Ahsan Jeny, Annie Jin, Clifford Yang, Sheida Nabavi:
Benchmarking Distance Functions in Siamese Networks for Current and Prior Mammogram Image Analysis. 1996-2003 - Xiaoxiang Han, Yiman Liu, Jiang Shang, Qingli Li, Jiangang Chen, Menghan Hu, Qi Zhang, Yuqi Zhang, Yan Wang:
A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation. 2004-2009 - Yuanpeng He, Yali Bi, Lijian Li, Chi-Man Pun, Wenpin Jiao, Zhi Jin:
Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation. 2010-2017 - Yunqi He, Jiahe Liu, You Li, Hai Zhou, Linglong Cai, Taimei Cui:
Multimodal Bayesian Networks for Automatic Skin Disease Diagnosis. 2018-2025 - Jia-Yao He, Yanlin Chen, Lei Chen, Xuhua Yang, Xiao-Xin Li:
Dynamic HUMUS-Net for Fast MRI Reconstruction. 2026-2031 - Xia Hou, Yifan Luo, Wenfeng Song, Yuting Guo, Wenzhe You, Shuai Li:
Radiographic Reports Generation via Retrieval Enhanced Cross-modal Fusion. 2032-2039 - Qiyun Hu, Junao Shen, Jinkang Ji, Xinyu Wang, Tian Feng, Hui Cui:
SESAME: Toward Medical Image Segmentation via Foundation Model-assisted Semi-supervised Learning. 2040-2045 - Taiyuan Hu, Haijing Luan, Rui Yan, Jifang Hu, Kaixing Yang, Xinyin Han, Weier Liu, Jiayin He, Xiaohong Duan, Ruilin Li, Fa Zhang, Beifang Niu:
Transformer-Based Multi-Scale Fusion for Robust Predicting Microsatellite Instability from Pathological Images. 2046-2053 - Lan Huang, Yinglu Sun, Ziqi Zhao, Chunjie Guo, Yan Wang:
2.5D ASF-UNet: Adjacent Slice Spatial Feature Fusion Model for WMH Segmentation from 3D MR Brain Image. 2054-2059 - Xiaolin Huang, Jingchun Lin, Jiacheng Chen, Xiao Ma, Bingzhi Chen, Guangming Lu:
Progressive Stepwise Diffusion Model with Dual Decoders for Semi-Supervised Medical Image Segmentation. 2060-2067 - Jiayu Huo, Ruiqiang Xiao, Haotian Zheng, Yang Liu, Sébastien Ourselin, Rachel Sparks:
MatchSeg: Towards Better Segmentation via Reference Image Matching. 2068-2073 - Yejing Huo, Guoheng Huang, Lianglun Cheng, Jianbin He, Xuhang Chen, Xiaochen Yuan, Guo Zhong, Chi-Man Pun:
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities. 2074-2079 - Hongxu Ji, Jie Wu, Heran Xi, Jinghua Zhu:
MobileP2VT: Parallel Hybrid Structure makes Lightweight Network Stronger for Diabetic Retinopathy Classification. 2080-2085 - Ruohui Jiang, Changtai Li, Xiaojuan Ban, Shihua Yin, Chao Yao, Yu Guo, Mohammad S. Obaidat:
From Non-Expert to Expert: Recurrent Refined Learning for Medical Image Segmentation. 2086-2093 - Xin Jing, Heyang Zhou, Keming Mao, Yuhai Zhao, Liangyu Chu:
A Novel Automatic Prompt Tuning Method for Polyp Segmentation. 2094-2099 - Masum Shah Junayed, Sheida Nabavi:
A Scaled Mask Attention-based Hybrid model for Survival Prediction. 2100-2107 - Hulin Kuang, Suoni Liu, Haojie Zhang, Zhe Qu, Shichao Kan:
Global Contrastive Learning with High-Quality Data in Large Vision-Language Models for Pathological Question Answering. 2108-2113 - Lijian Li, Yuanpeng He, Chi-Man Pun:
Efficient Prototype Consistency Learning in Semi-Supervised Medical Image Segmentation via Joint Uncertainty and Data Augmentation. 2114-2121 - Min Li, Pahati Tuxunjiang, Feng Li, Enguang Zuo, Xiaoyi Lv, Yunling Wang, Chen Chen, Cheng Chen:
MDKFusion: Medical Domain Knowledge-Inspired Area Amplification Network for Multi-Sequence MRI Image Fusion in Ischemic Stroke. 2122-2127 - Tingyao Li, Bin Sheng:
MSCE-LT: Multi-Label Supervised Contrastive Enhancement for Long-Tailed Retinal Diseases Recognition. 2128-2133 - Yingtai Li, Shuo Yang, Xiaoyan Wu, Shan He, S. Kevin Zhou:
Taming Stable Diffusion for MRI Cross-Modality Translation. 2134-2141 - Jiyun Li, Alang Sun, Chen Qian:
ECAPA-TDNN: A Model Based on Spontaneous Speech for MCI Detection. 2142-2147 - Xiaoqing Li, Yu Lu, Kee Yuan Ngiam, Zichang Yu, Mohammad Shaheryar Furqan:
FHRDiff: Leveraging Diffusion Models for Conditional Fetal Heart Rate Signal Generation. 2148-2155 - Wensheng Li, Jie Zhang, Jianlin Guo, Xiaoxu Wang, Guangyuan Xu, Yun Peng, Liyun Tu:
Automated Detection and Classification of Pediatric Middle Ear Diseases from CT using Entropy Projection and Feature Interaction. 2156-2163 - Xiaoyu Li, Wenwen Min, Shunfang Wang, Changmiao Wang, Taosheng Xu:
Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation. 2164-2169 - Yuxin Lin, Wei Wang:
Att-EMD-Unet: A Novel weakly supervised perspective for ECG segmentation. 2170-2176 - Lei Liu, Xiangdong Su, Guanglai Gao:
Leveraging Convolutional Models as Backbone for Medical Visual Question Answering. 2177-2182 - Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng:
Progressive Retinal Image Registration via Global and Local Deformable Transformations. 2183-2190 - Mengqi Liu, Chi-Man Pun, Haolun Li, Mingliang Zhai, Feng Xu, Hao Gao:
An Automatic Assessment of Parkinson's Disease in Arising from Chair Task via Refined Diffusion-based Pose Estimator. 2191-2197 - Yizhou Liu, Xianglei Yuan, Yao Zhou:
EIVS: Unpaired Endoscopy Image Virtual Staining via State Space Generative Model. 2198-2203 - Zhenhong Liu, Xudong Ru, Xingce Wang, Zhongke Wu, Yi-Cheng Zhu, Chong Zhang, Alejandro F. Frangi:
3D Skull Completion via Two-stage Conditional Diffusion-Based Signed Distance Fields. 2204-2209 - Yaru Liu, Jiangbo Pei, Zhu He, Guangjing Yang, Zhuqing Jiang, Qicheng Lao:
Medical Language Mixture of Experts for Improving Medical Image Segmentation. 2210-2216 - Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang, Hao Chen:
GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation. 2217-2223 - Ruoyu Liu, Jiayin Wang, Xiaoyan Zhu, Yuqian Liu, Yixuan Wang, Shuanying Yang, Xin Lai:
LMR-EWMA: A LASSO-based Multivariate Residual Control Chart for Monitoring Rare Health-Related Events. 2224-2231 - Kun Liu, Min Li, Chu He, Xu Tian, Junbin Mao, Min Zeng, Jin Liu:
UniSleepPos: Sleep Posture Identification System Utilizing Millimeter-wave Radar. 2232-2237 - Xiangyang Liu, Yi Zhu, Tianqi Pang, Kui Xue, Xiaofan Zhang, Chenyou Fan:
Medical Document Embedding Enhancement with Heterogeneous Mixture-of-Experts. 2238-2243 - Long Liu, Miao Zhou, Liang Chen, Jinjing Wu, Wenyun Xu, Haipo Cui, Zhanheng Chen:
An Artificial Intelligence-Assisted Bronchial Automatic Identification Using Deep Learning Technique. 2244-2249 - Ting Long, Lele Li, Feng Yang, Yuan Wang, Juan Liu:
DualDoctor: A Mutual Learning Method with Dynamic Knowledge Transfer and Class-Level Alignment for Classifying Medical Images. 2250-2255 - Wenjing Lu, Yi Hong, Yang Yang:
UP-SAM: Uncertainty-Informed Adaptation of Segment Anything Model for Semi-Supervised Medical Image Segmentation. 2256-2261 - Xiaopeng Luo, Yiqun Zhang, Yuzhu Ji, Peng Liu, Taoting Xiao:
Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis. 2262-2267 - Yuxuan Luo, Chong Peng, Hongyu Wang, Pan Zhou, Liejun Wang, Panpan Zheng:
DUMFNet: Enhanced Medical Image Segmentation with Multi-visual Encoding and Local Scanning. 2268-2275 - Shuaishuai Lv, Zhengxin Guo, Ruiqi Chen, Dongzi Wang, Ning Ye, Fu Xiao:
Lightweight Alzheimer's Disease Diagnosis Based on Gaussian Graphical Lasso Estimation. 2276-2283 - Yuan Ma, Yang Gu, Shuai Guo, Weining Weng, Shijie Wen, Yiqiang Chen:
Class-imbalanced Time Series Adaptation via Multi-Expert Consistency Entropy Minimization. 2284-2290 - Bowei Ma, Dehui Qiu, Ze Xiong, Yulong Hu, Liguo Deng, Huimei Yuan, Xiaohua Wan, Fa Zhang:
SS-SwinUnet: A Distillation Method of Swin Transformer for Superior Ocular Image Segmentation. 2291-2296 - Xin Mei, Libin Yang, Dehong Gao, Xiaoyan Cai, Tianming Liu, Junwei Han:
RadChat: A Radiology Chatbot Incorporating Clinical Context for Radiological Reports Summarization. 2297-2302 - Ziyao Meng, Yiming Qin, Tianyi Wang, Hao Shen, Yang Liu, Jie Dong, Haitao Song:
PMDC: Pancreas Segmentation with Mamba Block and Deformable 3D Convolution. 2303-2310 - Zihao Mi, Xueyu Liu, Jianan Zhang, Guangze Shi, Yidi Li, Yongfei Wu:
Multi-instance Curriculum Learning for Histopathology Image Classifications with Hard Negative Mining and Positive Augmentation. 2311-2316 - Zijun Min, Bingshuai Liu, Liang Zhang, Jia Song, Jinsong Su, Song He, Xiaochen Bo:
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval. 2317-2324 - Liangrui Pan, Mao Huang, Lian Wang, Pinle Qin, Shaoliang Peng:
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation. 2325-2331 - Qiao Pan, Yan Liu, Qian Li, Mei Wang:
Predicting Alzheimer's Disease Progression using Time-Decay LSTM Network with Multi-Condition Variational Autoencoder. 2332-2338 - Xiangle Ping, Huili Zhang, Mingquan Jin, Maoling Qin, Wenhui Huang:
Uncertainty-Guided Incremental Interactive EEG Emotion Recognition with Gaussian Process. 2339-2344 - Huamei Qi, Wenhui Yang, Sen Fu, Lei Deng:
Imputation of incomplete medical data using missing neighborhood perturbation denoising autoencoder. 2345-2350 - Haifeng Qi, Siyuan Shen, Zhijian Huang, Lei Deng:
DTA-Net: Dual-Task Attention Network for Medical Image Segmentation and Classification. 2351-2356 - Debin Qiao, Boya Ji, Hong Xia, Shaoliang Peng:
SpaChat: Integrating Single-Cell Foundation Model with Cell Graph Network for Spatially Resolved Cell-Cell Communication Inference. 2357-2362 - Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Hongfei Lin:
Dual Sentiment-aware Networks for Adverse Drug Reactions Detection. 2363-2368 - Fanhao Qiu, Yangyang Zhang, Xiaoguang Guo, Zhengxia Wang:
Weakly Supervised Virtual Immunohistochemistry Staining via Schrödinger Bridge Method. 2369-2375 - Haoxuan Shan, Yufei Chen, Wei Liu, Shuai Qi, Qi Zhang:
Semantic-Aware Synthesis Network for Dental Caries Image Generation from CBCT to Micro-CT. 2376-2381 - Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang:
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. 2382-2389 - Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang:
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. 2390-2395 - Zidi Shi, Hua Zou, Fei Luo, Zhiyu Huo:
MFSegDiff: A Multi-Frequency Diffusion Model for Medical Image Segmentation. 2396-2401 - Zhiceng Shi, Shuailin Xue, Fangfang Zhu, Wenwen Min:
High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE. 2402-2407 - Yucheng Song, Yifan Ge, Jia Guo, Zhifang Liao, Lifeng Li:
Alternate Interaction Multi-Task Hierarchical Model for Medical Images. 2408-2413 - Feifan Song, Ziming Cheng, Lunbo Li, Haofeng Zhang:
MTPNet: Learning Multiple Twin-support Prototypes for Few-shot Medical Image Segmentation. 2414-2421 - Yantao Song, Miao Zhang, Yunli Lu, Jiang Chang, Lu Chen:
Multi-Scale Co-Attention Reinforced U-Net for Medical Image Segmentation. 2422-2429 - Encheng Su, Hu Cao, Alois Knoll:
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models. 2430-2437 - Ran Su, Jin Xiao, Hui Cui, Ping Xuan, Xikang Feng, Leyi Wei, Qiangguo Jin:
MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction. 2438-2445 - Bo Sun, Kexuan Li, Jingjuan Liu, Zhen Sun, Xuehao Wang, Huadan Xue, Aimin Hao, Shuai Li, Yi Xiao:
Semi-Supervised Medical Image Segmentation with Cross-View Consistency and Contrastive Learning. 2446-2453 - Shichen Sun, Yufei Chen, Yuqi Liu, Xiaodong Yue:
Evidence Harmonization Network for Tumor Segmentation with Missing Modalities. 2454-2459 - Yanshen Sun, Jianger Yu, Chang-Tien Lu:
Empowering Cross-Patient Epilepsy Diagnosis from Diverse-Sampling Low-Quality EEG Signals. 2460-2467 - Chi Kong Tam, Feng Liu, Fei Xia, Arafat Shantu, Jun Kui Zhang, Fei Luo:
EnlightenDepth: a Novel Self-supervised Monocular Depth Estimation with Low-light Enhancement in Endoscopy. 2468-2473 - Xinkai Tang, Zhiyu Zhu, Shengjuan Guo, Feng Liu, Yi-Ping Phoebe Chen, Wencai Huang, Jia Ni Zou:
PN-Quant: An Automated Pulmonary Nodule Quantification Method for Full-Size CT Scans. 2474-2480 - Xiaoqin Tang, Boheng Tan, Yuanhao Guo, Xianping Yu, Jake Kendrick, Mark Reynolds:
Tomo-NeRL: tomographic neural representation learning for implicit CT image reconstruction. 2481-2488 - Guihua Tao, Ziqin Ling, Haojiang Li, Jiangning Song, Hongmin Cai:
Joint Segmentation of Primary Nasopharyngeal Carcinoma Tumors and Lymph Nodes via Global Attention. 2489-2496 - Yaqi Tian, Lingyu Chen, Haojie Lu, Zhe Zhao, Fang Chen:
Attention and Frequency-Domain Fusion Network for Detecting Skeleton Edge Points in Ankle Joint Fracture Diagnosis. 2497-2504 - Yuan Wang, Hua Chen, Zikang Cai, Liang Mao, Zhijun Sun, Juan Liu:
Local-Global Features Fusion Network for Distinguishing Radiolucent Jaw Lesions via CBCT. 2505-2510 - Yunnan Wang, Zequn Zhang, Xin Jin, Wenjun Zeng:
Consistency Prior Matters: Biomedical-Prompting Dual Augmentation for Domain Adaptive Medical Image Segmentation. 2511-2518 - Jinhong Wang, Yi Cheng, Jintai Chen, Hongxia Xu, Danny Z. Chen, Jian Wu:
Multi-rater Prompting for Ambiguous Medical Image Segmentation. 2519-2525 - Qingbin Wang, Yuchen Pei, Jian Wang, Yutao Ma:
Classifying Cervical OCT Images using Masked Autoencoders with VMamba. 2526-2533 - Xuan Wang, Haofan Cao, Xinsheng Wang, Xiaohua Wan, Fa Zhang:
SelfAlign: Achieving Subtomogram Alignment with Self-Supervised Deep Learning. 2534-2541 - Cheng Wang, Xinyu Liu, Chenxin Li, Yifan Liu, Yixuan Yuan:
PV-SSM: Exploring Pure Visual State Space Model for High-dimensional Medical Data Analysis. 2542-2549 - Ziwei Wang, Shuyu Guo, Mingzhu Zhu, Tian Bai:
Robust Federated Semi-Supervised Learning for Medical Image Classification via Pseudo-Label Filtering. 2550-2555 - Chunshi Wang, Shougan Teng, Shaohua Sun, Bin Zhao:
SymMatch: Symmetric Bi-Scale Matching with Self-Knowledge Distillation in Semi-Supervised Medical Image Segmentation. 2562-2569 - Ruobing Wang, Zehao Qi, Shengjuan Guo, Jia Ni Zou, Feng Liu, Wen Cai Huang:
Predicting Lung Nodule Growth from Follow-up CT Scans with Deep Isotropic Network. 2570-2576 - Sisi Wang, Lijun Guo, Rong Zhang, Wenming He, Qiang Li, Shangce Gao:
Tri-Hash Progressive Sampling Neural Attenuation Field for Sparse-View CBCT Reconstruction. 2577-2582 - Ruoxin Wang, Tianyi Tang, Haiming Du, Yuxuan Cheng, Yu Wang, Lingjie Yang, Xiaohui Duan, Yunfang Yu, Yu Zhou, Donglong Chen:
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation. 2583-2590 - Zhipeng Wang, Ruiquan Ge, Jianxun Yu, Feiwei Qin, Yuan Tian, Nannan Li, Wenwen Min, Ahmed Elazab, Changmiao Wang:
CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection. 2591-2596 - Junjie Wang, Tengfei Wang, Jun Xu, Zhenglin Zhang, Hongzhi Wang, Hai Li:
Zero-Shot Diagnosis of Unseen Pulmonary Diseases via Spatial Domain Adaptive Correction and Guidance by ChatGPT-4o. 2597-2604 - Haosen Wang, Gengyuan Zhang, Yingnan Zhao, Fang Lai, Wenwei Cui, Jiexiao Xue, Qihang Wang, Hao Zhang, Yi Lin:
RPF-ELD: Regional Prior Fusion using Early and Late Distillation for Breast Cancer Recognition in Ultrasound Images. 2605-2612 - Yue Wang, Lingyu Chen, Haojie Han, Daoqiang Zhang, Hongen Liao, Fang Chen:
Localization and Angle Estimation of Capsule Robots in Ultrasound Images Using Spatially Adaptive Gaussian Distribution. 2613-2620 - Suixue Wang, Huiyuan Lai, Shuling Wang, Qingchen Zhang:
ContraMAE: Contrastive alignment masked autoencoder framework for cancer survival prediction. 2621-2626 - Xiaojie Wang, Jing Xia, Mei Wu, Shanshan Gao, Yuanfeng Zhou:
Low-Quality Ultrasound Image Enhancement Using Spatially Variable Neural Implicit Network. 2627-2632 - Xuan Wang, Shiwei Liu, Xinsheng Wang, Xiaohua Wan, Fa Zhang:
Innovative 3D CTF Correction Techniques for Cryo-ET of Individual Particles. 2633-2638 - Jie Wang, Luohuang Wu, Hulin Kuang:
Local-Global Spatio-Temporal Encoding with Adaptive Brain Region Signal Segmentation for Mild Cognitive Impairment Detection. 2639-2644 - HongHao Wang, Acong Zhang, Ping Li:
Enriching molecular graph representation via substructure learning. 2645-2650 - Bichen Wang, Yixin Sun, Yuzhe Zi, Yanyan Zhao, Bing Qin:
Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media. 2651-2658 - Ziwen Wang:
JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering. 2659-2666 - Jia Wei, Yun Li, Meiyu Qiu, Hongyu Chen, Xiaomao Fan, Wenbin Lei:
SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection. 2667-2672 - Weining Weng, Yang Gu, Shuai Guo, Yuan Ma, Yuchen Liu, Yuan Jin, Fulong Xiao, Yiqiang Chen:
Wafformer: Wave-Frequency Cross-Prediction and Alignment for Knowledge-Enhanced Sleep Representation. 2673-2679 - Wenting Kuang, Shuo Jin, Danyang Wang, Yuda Zheng, Yongpan Zou, Kaishun Wu:
EmoTracer: A User-independent Wearable Emotion Tracer with Multi-source Physiological Sensors Based on Few-shot Learning. 2680-2687 - Xiangqiong Wu, Nan Hu, Peng Wang:
CSA-UNet: An Efficient Context Separable Attention UNet for Medical Image Segmentation. 2688-2693 - Xuening Wu, Yiqing Shen, Qing Zhao, Yanlan Kang, Ruiqi Hu, Wenqiang Zhang:
Edge-SAN: An Edge-Prompted Foundation Model for Accurate Nuclei Instance Segmentation in Histology Images. 2694-2701 - Jinjing Wu, Wenhui Guo, Miao Zhou, Long Liu, Haipo Cui, Zui Zou, Zhanheng Chen:
A Novel Segmentation Algorithm for Throat Structures Identification. 2702-2707 - Xiafan Li, Hongyan Quan:
Pseudo Label-based Multi-View Annotation for Semi-Supervised Medical Image Segmentation. 2708-2713 - Jinhai Xiang, Yan Zhang, Jiakun Yu, Xinwei He:
BcMatch: Semi-supervised Medical Image Segmentation with Bias Correction. 2714-2719 - Shengchang Xiao, Xueshuai Zhang, Pengyuan Zhang, Yonghong Yan:
Fetal Heart Sounds Classification Using Time-Cyclic Frequency Spectrogram and Hybrid Attention Network. 2720-2725 - Tao Xing, Yutao Dou, Xiaolan Xie, Jiansong Zhou, Xianliang Chen, Shaoliang Peng:
EMO-Mamba: Multimodal Selective Structured State Space Model for Depression Detection. 2726-2731 - Yuxuan Xiong, Yongchao Xu, Yan Zhang, Kai Gui, Bo Du:
Uncertainty-aware Condensation for OCT Cervical Dataset Combining Coreset Selection and Distillation. 2732-2739 - Wenchong Xu, Yuting Guo, Wei Li, Jiang Lin, Shuai Li:
GC-UNet: Enhance UNet with GCN for Periodontitis Segmentation. 2740-2747 - Bo Xu, Ruiyuan Wang, Lingfan Ping, Chaoyue Zhu, Xiaoxia Liu, Hongfei Lin, Linlin Tian, Feng Xia:
MAT: Medical AI-generated Text Detection Dataset from Multi-models and Multi-Methods. 2748-2753 - Jingyun Yang, Guoqing Zhang, Jingge Wang, Yang Li:
Graph-guided Source Selection with Sequential Transfer for Medical Image Segmentation. 2754-2759 - Qiushi Yang, Meilu Zhu, Yixuan Yuan:
Enhancing Clinical Information for Zero-Shot Medical Diagnosis by Prompting Large Language Model. 2760-2765 - Yulin Yang, Hong Song, Yucong Lin, Long Shao, Jingfan Fan, Tianyu Fu, Danni Ai, Deqiang Xiao, Jian Yang:
PrixMatch: Semi-supervised Network for Multi-modal Medical Image Segmentation with Cross-modal Data Augmentation and Adaptive Prior Knowledge Thresholding. 2766-2771 - Shiyi Yao, Longfei Liu, Jingyi Lu, Dan Wu, Ye Li:
Advancing Semi-Supervised EEG Emotion Recognition through Feature Extraction with Mixup and Large Language Models. 2772-2779 - Zhiyu Ye, Yue Sun, Wei Shi, Bang Yang, Shibin Wu, Hancong Wang, Cheng Xu, Hairong Zheng, Yining Wang, Tong Zhang:
C2RG: Parameter-efficient Adaptation of 3D Vision and Language Foundation Model for Coronary CTA Report Generation. 2780-2786 - Mi Yin, Yuchen Pei, Yutao Ma:
Human-Machine Integration to Enhance Clinical Typing and Fine-Grained Interpretation of Cervical OCT Images. 2787-2794 - Xinlei Yu, Ahmed Elazab, Ruiquan Ge, Hui Jin, Xinchen Jiang, Gangyong Jia, Qing Wu, Qinglei Shi, Changmiao Wang:
ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism. 2795-2800 - Qilong Yuan, Enze Shi, Kui Zhao, Di Zhu, Dingwen Zhang, Shu Zhang:
A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding. 2801-2807 - Manman Yuan, Weiming Jia, Xiong Luo, Jiazhen Ye, Peican Zhu, Junlin Li:
MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion. 2808-2815 - Jiahao Yuan, Xingfeng Li, Zilong Zhang, Qingchen Zhang, Quan Zou, Feifei Cui:
RNASite: A one-stop tool website that integrates multiple RNA modification site databases and servers. 2816-2820 - Hongtao Yue, Xiaoyue Feng, Hanchi Xu, Haoxuan Chu, Yushi Wang, Renchu Guan:
Enhancing Nested Named Entity Recognition in Chinese EMRs: A Collaborative Approach. 2821-2828 - Zhilin Zeng, Zelin Peng, Xiaokang Yang, Wei Shen:
DeCo-Net: Robust Multimodal Brain Tumor Segmentation via Decoupled Complementary Knowledge Distillation. 2829-2836 - Buchao Zhan, Anqi Li, Xin Yang, Dongmei He, Yucong Duan, Shankai Yan:
RARoK: Retrieval-Augmented Reasoning on Knowledge for Medical Question Answering. 2837-2843 - Haodi Zhang, Jinyin Nie, Zeming Liu, Dong Lei, Yuanfeng Song:
Automatic SQL Query Generation from Code Switched Natural Language Questions on Electronic Medical Records. 2844-2851 - Fenghang Zhang, Guang Feng, Xizhan Gao, Sijie Niu:
Efficient Large-Scale Pre-Trained Model Guided MR Imaging Super-Resolution. 2852-2857 - Yifan Zhang, Jiajun Zhao, Yang Zhao, Xuan Yang:
A Dual-stage Teacher-Student Representation Learning Framework for Semi-supervised Cardiac Image Segmentation. 2858-2865 - Wentao Zhang, Defeng Zhao, Weishi Zheng, Ruixuan Wang:
TexCIL: Text-Guided Continual Learning of Disease with Vision-Language Model. 2866-2873 - Haojie Zhang, Min Zeng, Jinfeng Ding, Yixiong Liang, Ruiqing Zheng, Zhe Qu, Min Li, Shichao Kan:
Aligning Multimodal Biomedical Images and Language via One Large Vision-Language Model. 2874-2879 - Hang Zhang, Xueru Xu, Guoyou Wang, Yiqing Shen:
TPC-GNN: A Three-Level Hierarchical Graph Neural Network for Microsatellite Instability Prediction from Histopathology Whole Slide Images. 2880-2887 - Huaicheng Zhang, Jiguang Shi, Yue Ge, Sheng Chang, Hao Wang, Qijun Huang:
CELL: Supplementing Context for Multi-modal Few-shot Cardiologist. 2888-2893 - Rong Zhang, Minzhu Xie:
A Multi-task learning model with low-level feature sharing and inter-feature guidance for segmentation and classification of medical images. 2894-2899 - Yuandi Zhang, Jinkui Hao, Botian Zheng, Yonghuai Liu, Yanda Meng, Jiong Zhang, Yang Chen, Chunfeng Yang, Yitian Zhao:
Clinical Insight-Augmented Multi-View Learning for Alzheimer's Detection in Retinal OCTA Images. 2900-2907 - Ruizhe Zhang, Yiting Shen, Chenlian Zhou, Weizhong Zhao, Xianjun Shen:
A Multimodal Joint Representation Framework for Microbe-drug Association Prediction. 2908-2913 - Qin Zhang, Xiangling Nan, Yingfang Fan, Yihang Zhou, Yaoqun Liu, Fucang Jia, Huoling Luo:
Spatial-temporal Consistency Constraint for Depth and Ego-motion Estimation of Laparoscopic Images. 2914-2921 - Ying Zhang, Shuai Guo, Dantong Shi, Jinhai Xiang:
Dual decoder UNet with Contrastive learning for Brain Image Registration. 2922-2927 - Tianyu Zhang, Yuxiang Ren, Chengbin Hou, Hairong Lv, Xuegong Zhang:
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models. 2928-2935 - Guangzhe Zhao, Sihao Chen, Xueping Wang, Feihu Yan, Maozu Guo:
FTMSNet: Towards boundary-aware polyp segmentation framework based on hybrid Fourier Transform and Multi-scale Subtraction. 2936-2943 - Rongchang Zhao, Bo Xu, Xiaoliang Jia, Jin Liu:
EP-Net: Automatic Artery/Vein Classification With Evidential Probability Map. 2944-2950 - Liang Zhao, Xiaoyuan Li, Sijia Hou, Xin Fan, Zhikui Chen, Shuqiong Wu:
Construction of Simulated 3D CT from Multiple-View X-ray Images. 2951-2956 - Rongchang Zhao, Jianyu Qi, Rui Li, Teng Yang, Jiaxu Li, Jian Zhang, Zijian Zhang:
HFGS: High-Frequency Information Guided Net for Multi-Regions Pseudo-CT Synthesis. 2957-2964 - Liang Zhao, Yang Wang, Xinyu Wang, Rui Lin, Zhanxin Gang, Baijiang Xu:
Copd-ChatGLM: A Chronic Obstructive Pulmonary Disease Diagnostic Model. 2965-2970 - Liang Zhao, Jian Zhang, Bo Xu, Yi Yang, Yangqianhui Zhang, Ruixin Ma:
Multimodal contrastive learning with neuroimaging and cognitive tests for Alzheimer's disease diagnosis. 2971-2976 - Yuze Zhao, Shijie Pang, Zhuoyao Wang, Wen He, Yingwen Wang, Rui-Wei Zhao, Rui Feng, Xiaobo Zhang:
PRIDE: Pediatric Radiological Image Diagnosis Engine Guided by Medical Domain Knowledge. 2977-2982 - Kailu Zheng, Jiefan Qiu, Dongfu Zhu, Xiyu Wang, Kejiang Xiao, Xiaofu Chen:
Don't Speak Anything: Deep Breath-Based Authentication Utilizing Sonar Signals on Smartphones. 2983-2990 - Rongzhou Zhou, Ziqi Shu, Weixing Xie, Junfeng Yao, Qingqi Hong:
S2CCT: Self-Supervised Collaborative CNN-Transformer for Few-shot Medical Image Segmentation. 2991-2998 - Yufeng Zhou, Wenming Cao, Yicha Zhang:
Fuzzy Attention-based Geometric Algebra Convolution in Recursive Fusion Network for Medical Image Registration. 2999-3004 - Ying Zhou, Shiquan He, Hao Wang, Fan Huang, Mei Liu, Qiang Li, Zhiwei Wang:
Improved Self-supervised Monocular Endoscopic Depth Estimation based on Pose Alignment-friendly Dynamic View Selection. 3005-3012 - Mingzhu Zhu, Shuyu Guo, Ziwei Wang, Jianhang Jiao, Tian Bai:
2D-3D Feature Co-Embedding Network with Sparse Annotation for 3D Medical Image Segmentation. 3013-3018 - Chunzheng Zhu, Jianxin Lin, Guanghua Tan, Ningbo Zhu, Kenli Li, Chunlian Wang, Shengli Li:
Advancing Ultrasound Medical Continuous Learning with Task-Specific Generalization and Adaptability. 3019-3025 - Ziyi Zhu, C. L. Philip Chen, Haiqi Liu, Tong Zhang:
Temporal Group Attention Network with Affective Complementary Learning for Gait Emotion Recognition. 3026-3033 - Haochen Zou, Yongli Wang:
A Novel Knowledge Enhanced Large Language Model Augmented Framework for Medical Question Answering. 3034-3041 - Jiayu Zou, Lianlian Wu, Weiping Lin, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo:
CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions. 3042-3047 - Yue Zuo, Lishuang Li, Jingyao Tang, Wanting Ning, Yuxiao Fei, Jiayi Huang:
Low-Resource Biomedical Event Detection Based on Semantic Matching and Meta Learning. 3048-3053 - Shengyuan Bai, Zijing Liu, Jiying Zhang, Yu Li:
ImmuFold: High-Accuracy Antibody Structure Prediction with Efficient Network. 3054-3059 - Maria Miguel Beirão, João Matos, Tiago Gonçalves, Camila Kase, Luis Filipe Nakayama, Denise de Freitas, Jaime S. Cardoso:
Classification of Keratitis from Eye Corneal Photographs using Deep Learning. 3060-3065 - Zeyd Boukhers, AmeerAli Khan, Qusai Ramadan, Cong Yang:
Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Coding. 3066-3069 - Yang Cao, Yuhao Dai, Dongzi Wang, Zhengxin Guo, Linqing Gui, Fu Xiao:
UWHeart: Periodicity-Driven Contact-free Heartbeat Rate Estimation Based on IR-UWB Technology. 3070-3075 - Zhen Chen, Xingjian Luo, Jinlin Wu, Danny T. M. Chan, Zhen Lei, Sébastien Ourselin, Hongbin Liu:
SurgFC: Multimodal Surgical Function Calling Framework on the Demand of Surgeons. 3076-3081 - Qiuhui Chen, Yi Hong:
Alifuse: Aligning and Fusing Multimodal Medical Data for Computer-Aided Diagnosis. 3082-3087 - Zhihao Chen, Tao Chen, Chenhui Wang, Qi Gao, Chuang Niu, Ge Wang, Hongming Shan:
Low-dose CT Denoising with Language-engaged Dual-space Alignment. 3088-3091 - Geng Chen, Hao Yang, Runlin Zhang, Musa Bakarr, Yong Xia, Pew-Thian Yap:
Unsupervised Super-Resolution of Diffusion-Weighted Images via Deep Diffusion Prior. 3092-3095 - Yongchang Chen, Yinning Liu, Guoming Chen, Qian Zhang, Yilin Wu, Jinxin Ruan:
FT-Mamba: A Novel Deep Learning Model for Efficient Tabular Regression. 3096-3100 - Yibo Chen, Dong Xu, Richard D. Hammer, Mihail Popescu:
Predicting Gene Relations with a Graph Transformer Network Integrating DNA, Protein, and Descriptive Data. 3101-3104 - Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang, Yue Zhang:
MGOD: Multi-Granular Outlier Detection with Clustlier Analysis. 3105-3110 - Chaowei Chen, Li Yu, Shiquan Min, Shunfang Wang:
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation. 3111-3114 - Ying Chen, Xinyu Xiong, Huihui Fang, Yanwu Xu:
BA-SAM: Boundary-Aware Adaptation of Segment Anything Model for Medical Image Segmentation. 3115-3118 - Shuaizheng Chen, Chaolu Feng, Wei Li, Jinzhu Yang, Dazhe Zhao:
BECNN: Bias Field Estimation CNN Trained with a Dual Route Implicit Supervised Learning Strategy. 3119-3122 - Junlong Cheng, Jilong Chen, Lei Jiang, Chenrui Gao, Junren Chen, Ruoyu Li, Min Zhu:
BAformer: Boundary Adaptive Transformer for Medical Image Segmentation. 3123-3126 - Zehua Cheng, Di Yuan, Thomas Lukasiewicz:
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation. 3127-3133 - Wenqian Cui, Xiangling Fu, Shaohui Liu, Mingjun Gu, Xien Liu, Ji Wu, Irwin King:
Data Augmentation Techniques for Chinese Disease Name Normalization. 3134-3137 - Dawei Dai, Yuanhui Zhang, Long Xu, Qianlan Yang, Xiaojing Shen, Shuyin Xia, Guo-Yin Wang:
PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding. 3138-3143 - Yulan Dai, Beiji Zou, Xiaoyan Kui, Qinsong Li, Wei Zhao, Jun Liu, Miguel Bordallo López:
Strong Multimodal Representation Learner through Cross-domain Distillation for Alzheimer's Disease Classification. 3144-3149 - Subhashis Das, Debashis Naskar, Sara Rodríguez-González, Pamela Hussey:
CSSDM Ontology to Enable Continuity of Care Data Interoperability. 3150-3155 - Xun Deng, Zhibin Li, Mei Gao, Shaolin Liang, Tianyu Sun, Zhipeng Shang, Yuhang Yang, Yafang Wei, Lun Hu, Pengwei Hu:
MSSOrg: a multi-scale SSM-based model for organoid location and classification. 3156-3159 - Hongwei Ding, Kuan Zhang, Nana Huang:
DM-GAN: A Data Augmentation-Based Approach for Imbalanced Medical Image Classification. 3160-3165 - Jiangang Ding, Yiquan Du, Yihui Shan, Lili Pei, Wei Li:
Learning to Follow Frequency View Guidance for Dental CT Images Deblurring. 3166-3171 - Mengqian Ding, Jun Liu, Yang Luo:
The Dual Path Multi-Feature Fusion Model combining CNN and Transformer for Age Estimation of Caenorhabditis elegans. 3172-3177 - Gaoyang Dong, Jianhong Wang, Yufei Shen, Mingli Zhang, Minghui Zhang, Ping Sun:
Respiratory Sounds Classification by Fusing the Time-Domain and 2D Spectral Features. 3178-3181 - Yanrui Du, Sendong Zhao, Muzhen Cai, Ming Ma, Danyang Zhao, Jiawei Cao, Bing Qin:
Probing the Dual Logic Ability of Privatized Medical-Domain LLMs. 3182-3187 - Yongping Du, Zikai Wang, Binrui Wang, Xingnan Jin, Yu Pei:
A Novel RAG Framework with Knowledge-Enhancement for Biomedical Question Answering. 3188-3191 - Zheming Fan, Weiting Chen, Jiahao Fan, Ruizhi Yu:
Buffer with Feature Tokens: Combating Confusion in Medical Image Continual Learning. 3192-3195 - Jing Fan, Junwen He, Yuhan Zheng, Hong-Yu Zhang, Hui Peng:
Identification of Depression-Related Electroencephalographic Patterns Using Astrocyte Spiking Neural Network. 3196-3199 - Zijie Fang, Yifeng Wang, Ye Zhang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. 3200-3205 - Pascal Fechner, Anika Groß, Jannik Lockl, Maximilian Röglinger, Niklas Tscheuschner:
Urinary Bladder Monitoring with a Wearable Device Based on Bioimpedance Measurements and Machine Learning. 3206-3209 - Weiru Fu, Junyu Lu, Youlin Wu, Guangtao Xu, Liang Yang, Hongfei Lin, Jian Wang, Ruiyuan Wang:
CFAH: A Chinese Dataset for Detecting False Advertising in Healthcare. 3210-3213 - Liangyu Gao, Zhihao Yang, Haixin Tan, Lei Wang, Wei Liu, Yin Zhang, Ling Luo, Bo Xu, Jian Wang, Yumeng Yang, Zhehuan Zhao, Yuanyuan Sun, Hongfei Lin:
Document-level Biomedical Relation Extraction Based on Relation-guided Entity-level Graphs. 3214-3217 - Liangyu Gao, Zhihao Yang, Jinzhong Ning, Kai Ma, Lei Wang, Wei Liu, Yin Zhang, Ling Luo, Bo Xu, Jian Wang, Yumeng Yang, Zhehuan Zhao, Yuanyuan Sun, Hongfei Lin:
Biomedical Event Extraction as Semantic Segmentation. 3218-3221 - Fangfang Gou, Tingyi Dai, Jia Wu:
A novel feature alignment-based cell nucleus identification scheme for medical decision-making systems. 3222-3225 - Shuai Guo, Zhi Lu, Songfeng Lu, Yongquan Cui, Xueming Tang, Junjun Wu:
Split Learning Optimized For The Medical Field: Reducing Communication Overhead. 3226-3231 - Yuanyuan Guo, Xin Wen, Yi Lei, Xiaobo Liu, Zhenqi Liu, Rui Cao:
Global-Local Brain Network based on Functional Connectivity for Individualized Prediction. 3232-3237 - Kaiyu Guo, Liang Zhao, Xiandi Wang, Kang Li:
SGX2CT: Self-part Guided 3D CT and Spine Model Reconstruction from Biplanar Lumbar X-rays. 3238-3243 - Yuting Guo, Yacong Li, Luyao Chen, Dong Sui, Yuhang Chen, Shuai Li:
A Diffusion Model Approach for Solving the Inverse Problem between Cardiac Electricalphysiology and Electrocardiograph. 3244-3247 - Juncheng Han, Yuping Ye, Di Wu, Shiyang Long, Zhan Song:
High-precision 3D Facial Landmark Detection with Curvature-fused Graph Attention Network. 3248-3253 - Kai Han, Jun Chen, Siqi Ma, Yuqing Song, Yonghan Lu, Zhe Liu:
Wavelet Transform-based Distribution Discrepancy Maximization for Medical Image Segmentation. 3254-3257 - Zhengxiao He, Minghong Cai, Letian Li, Siyuan Tian, Renjie Dai:
EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG. 3258-3261 - Zhu He, Yaru Liu, Guangjing Yang, Xueqi Bao, Yufei Chai, Qicheng Lao:
Learning Task-Level Pseudo-Text Prompt for Improved Medical Image Segmentation. 3262-3267 - Duwei He, Qing Du, Zihan Yan, Hao Wang, Xiaoyan Sun:
DeepVMIF: Deep Learning Based Volumetric Multiplex Immunofluorescence Image Analysis. 3268-3273 - Xiang He, Weiye Song, Fuwang Wu, Lizhen Cui, Yi Wan:
Leveraging Spectrum to Enhance the Accuracy of Retinal Layer Segmentation. 3274-3278 - Kaijieyi Hou, Weizhong Zhao, Tingting He:
Physicochemical Property-guided Conditional VAE for Antimicrobial Peptides Generation. 3279-3282 - Min Hu, Lingxiang Xu, Lei Liu, Xiaohua Wang, Hongbo Li, Jiaoyun Yang:
Automatic Depression Detection Network Based on Facial Images and Facial Landmarks Feature Fusion. 3283-3288 - Yiwen Hu, Jun Wei, Yuncheng Jiang, Haoyang Li, Shuguang Cui, Zhen Li, Song Wu:
MixPolyp: Integrating Mask, Box and Scribble Supervision for Enhanced Polyp Segmentation. 3289-3292 - Hengqi Hu, Bin Fang, Mingliang Zhou:
Cardiac MR Image Semantic Segmentation based on Joint Dual-stream CNNs. 3293-3298 - Xinrong Hu, Dewen Zeng, Yawen Wu, Xueyang Li, Yiyu Shi:
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning. 3299-3302 - Wei Huang, Ning Wang, Panpan Feng, Haiyan Wang, Zongmin Wang, Bing Zhou:
A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification. 3303-3306 - Zufang Huang, Kejing He:
CoMTAnet: An Enhanced Framework for Sleep Apnea Detection via Contrastive Multi-Temporal Respiratory Signal Analysis. 3307-3310 - Junfeng Huang, Mengyue Zhang, Min Wang, Gang Wang, Meixia Qu, Bin Jiang, Qiang Guo:
BEI-DETR: A Multimodal Remote Sensing Object Detection via Integrating EEG and Eye Movement. 3311-3314 - Su Huang, Hongwei Yu, Danni Ai, Guolin Ma, Jian Yang:
CLIP and image integrative prompt for anterior mediastinal lesion segmentation in CT image. 3315-3318 - Qiguang Huang, Yufei Chen, Yuqi Liu, Xiaodong Yue, Chao Ma:
Trusted Multi-view Pancreatic Tumor Subtypes Diagnosis through Augmented Opinion. 3319-3322 - Xiangyu Jia, Xianbing Zhao, Buzhou Tang, Ronghuan Jiang:
Bidirectional Multimodal Block-Recurrent Transformers for Depression Detection. 3323-3328 - Yingjuan Jia, Hanpu Wang, Xinyu Liu, Tong Chen:
Facial StO2-based Stress Recognition using Automatic Graph Generation and Dual-Stream GNN. 3329-3334 - Yan Jia, Yong Dou, Peng Qiao, Yuqing Cheng, Kele Xu, Zhouyu He:
A Connectivity-Enhanced Multi-Task Learning based on Anatomical Priors for 3D Class-Balanced Pulmonary Airway Segmentation. 3335-3340 - Hao Jiang, Runsheng Liu, Yanning Zhou, Huangjing Lin, Hao Chen:
Holistic and Historical Instance Comparison for Cervical Cell Detection. 3341-3346 - Junfeng Jiang, Lei Shuai, Qiang Zeng:
ABLSpineLevelCheck: Localization of Vertebral Levels on Fluoroscopy via Semi-supervised Abductive Learning. 3347-3350 - Wenhao Jiang, Qinglong Liu, Kaixuan Wang, Shihang Ding, Hongjian Bo, Cong Xu, Lin Ma, Haifeng Li:
Multimodal Brain Signal Analysis with State-Space Modeling: A Study on Working Memory. 3351-3356 - Eunjung Jo, Dong-Hee Shin, Ji-Hye Oh, Sanghyeon Cho, Hyun Jung Lee, Tae-Eui Kam:
Image2SignalNet: Image-based deep learning approach for capturing neuronal signals from calcium imaging. 3357-3360 - Gyeongdeok Jo, Jonghun Kim, Bo-yong Park, Hyunjin Park:
DeAFusion: Detail-Aware Image Fusion for Whitematter Hyperintensity Segmentation. 3361-3366 - Sibo Ju, Zhaozhen Chen, Xiangwen Liao, Yiqing Shen, Junjun He, Yanzhou Su:
A Tiny Efficient U-Net with Gated Linear Attention for Medical Image Segmentation. 3367-3371 - Junmo Kwon, Sang Won Seo, Hyunjin Park:
Enhancing Cerebral Microbleed Segmentation with Pretrained UNETR++. 3372-3377 - Huyen Le, Khiet Dang, Nhung Nguyen, Mai Tran, Hieu H. Pham:
D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs. 3378-3383 - Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Ji-Hye Oh, Tae-Eui Kam:
Solving Blind Inverse Problem in Microscopy: Diffusion-based Zero-shot Isotropic Reconstruction. 3384-3387 - Yinghao Li, Zhiyuan Dong, Mengyuan Yao, Yue Liu, Yusong Lin:
A Pyramidal Feature Selection and Translation Approach for Large Deformation Image Registration. 3388-3391 - Baitao Li, Xiaolong Zhang, Xiaoli Lin, He Deng, Hongwei Ren:
LKC-NET: A Liver and Tumor Segmentation Method based on Large Kernel Parallel Dilated Convolution. 3392-3395 - Da Li, Liting Wang, Zhiyun Lin:
A Multi-Frequency Information Graph Representation for Graph Classification. 3396-3401 - Zijian Li, Sendong Zhao, Haochun Wang, Haoming Xu, Bing Qin, Ting Liu:
CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark. 3402-3407 - Xinhong Li, Geng Chen, Yuanfeng Wu, Junqing Yang, Tao Zhou, Yi Zhou, Wentao Zhu:
MedSegViG: Medical Image Segmentation with a Vision Graph Neural Network. 3408-3411 - Jiajun Li, Qiao Mu, Xiaodong Li, Hu Chen, Wenchao Du, Hongyu Yang:
A Progressively Prompt-guided Model for Sparse-View CT Reconstruction. 3412-3417 - Jiyun Li, Linxuan Feng, Chen Qian:
CE-UDA - A Cross-Modal Domain Adaptation Model for Cochlea and Vestibular Schwannoma Segmentation Based on Contour Enhancement. 3418-3421 - Jing Li, Yixuan Wu, Xiaorou Zheng, Shoubin Dong:
Supervoxels-based Self-supervised Few-shot 3D Medical Image Segmentation via Multiple Features Transfer. 3422-3427 - Na Li, Ziyi Wang, Jun Huang, Shuting Sun, Jing Zhu, Xiaowei Li, Bin Hu:
Nitrous oxide therapy-induced changes in brain modules of treatment-resistant depression: a randomized controlled study. 3428-3433 - Xinze Li, Runlin Huang, Zhenghao Wu, Bohan Yang, Wentao Fan, Chengzhang Zhu, Weifeng Su:
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation. 3434-3438 - Xiao Li, Zhuowei Yang, Dingyin Hu, Hailong Huang, Luyao Chen:
An Efficient Framework for Cross-Session EEG Classification Based on Harmony Search Common Spatial Pattern. 3439-3442 - Yanlin Li, Rihui Song, Andi Xu, Haotian Lin, Kai Huang:
A Tremor Evaluation Method for Retinal Injection Micro-needle by Microscopic Videos. 3443-3448 - Wei Li, Ruoqi Lian, Huoling Luo, Weikai Qu, Wenjian Liu, Fucang Jia:
FFC-Stereo: Stereo matching of binocular endoscopic images by Fast Fourier Convolution. 3449-3454 - Qibin Li, Shengyuan Bai, Nai Zhou, Nianmin Yao:
Enhancing Biomedical NER with Adversarial Selective Training. 3455-3460 - Yaozu Li, Donglin Xie, Jin-Xing Liu, Chunhou Zheng, Xinchun Cui:
DAResNet-ViT: A Novel Hybrid Network for the Early Diagnosis of Alzheimer's Disease Using Multi-View sMRI and Multimodal Analysis. 3461-3464 - Xiaofeng Li, Hongmei Zhang, Xiaoxian Luo, Jiachen Dang, Lixue Yin, Bo Peng:
Discrimination and Diagnosis of Hypertrophic Cardiomyopathy and Cardiac Amyloidosis via Unimodal Supervision Joint Contrastive Learning. 3465-3468 - Bingjun Li, Mostafa Karami, Masum Shah Junayed, Sheida Nabavi:
Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images. 3469-3474 - Jianwen Liang, Li Lin, Junyan Lyu, Xiaoying Tang:
Masked Modality Complementary Modeling for Brain Tumor Segmentation. 3475-3480 - Yu Liang, Chen Zhao, Tianfu Wang, Ziwen Peng, Peng Yang, Baiying Lei:
OCD Diagnosis with Multiple Spatial Similarity-Aware Learning and Diffusion Structure-Aware Graph Convolutional Network. 3481-3484 - Jingxin Liang, C. L. Philip, Yuebin Xu, Tong Zhang:
EEG Sequence Dependencies Learning With Fine-grained Sleep Transition Graph for Sleep Stage Classification. 3485-3490 - Wei Liao, Lei Luo, Changjian Wang, Chunyuan Zhang:
Cell DINO: End-to-End Cell Segmentation and Tracking with Transformer. 3491-3494 - Jiatai Lin, Guoqiang Han, Jingxuan Zhou, Zhenwei Shi, Zaiyi Liu, Chu Han:
SS-WSSS: Small-Scale Weakly Supervised Semantic Segmentation for Histopathology Image. 3495-3500 - Zehui Lin, Zhuoneng Zhang, Xindi Hu, Zhifan Gao, Xin Yang, Yue Sun, Dong Ni, Tao Tan:
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation. 3501-3504 - Yuxin Lin, Jing Ma, Wei Wang, Zhihao Wu, Suyu Dong, Gongning Luo, Kuanquan Wang:
Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model. 3505-3508 - Rui Lin, Junhua Zhang:
Discovering a Biomechanical Prediction Model for Adolescent Idiopathic Scoliosis by Combining PINN with State Space Models. 3509-3514 - Xuan-Hao Liu, Wei-Bang Jiang, Wei-Long Zheng, Bao-Liang Lu:
MoGE: Mixture of Graph Experts for Cross-subject Emotion Recognition via Decomposing EEG. 3515-3520 - Sicen Liu, Xiaolong Wang, Xianbing Zhao, Hao Chen:
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning. 3521-3526 - Yunbi Liu, Dong Du, Shengxian Tu, Wei Yang, Shiteng Suo, Xiaoguang Han:
Artifact-aware Digital Subtraction Angiogram Image Generation for Head and Neck Vessels. 3527-3530 - Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Xi Yang, Kaizhu Huang:
Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. 3531-3536 - Longfei Liu, Guosheng Cui, Cheng Wan, Dan Wu, Ye Li:
ECG-LLM: Leveraging Large Language Models for Low-Quality ECG Signal Restoration. 3537-3542 - Jun Liu, Wenyi Wang, Wei Wang, Gongning Luo, Yacong Li, Kuanquan Wang:
EdgeReg: Edge-assisted Unsupervised Medical Image Registration. 3543-3548 - Yuxuan Long, Tianling Lyu, Fan Rao, Peng Yuan, Yang Chen, Wentao Zhu:
D-NAF: Dynamic Neural Attenuation Fields for 4D CBCT Reconstruction in Pulmonary Imaging. 3549-3554 - Xi Long, Tianyang Wang, Yanjia Kan, Yunze Wang, Silin Chen, Albert Zhou, Xianxu Hou, Jingxin Liu:
Pseudo Training Data Generation for Unsupervised Cell Membrane Segmentation in Immunohistochemistry Images. 3555-3560