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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 28
Volume 28, Number 1, January 2024
- Wenjian Qin
, Tianming Liu, Fa Zhang:
Guest Editorial Computational Mathematics Modeling in Cancer Analysis. 4-6 - Rui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng, Fa Zhang:
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images. 7-18 - Ziqi Zhao, Wentao Li, Ping Liu, Aili Zhang, Jianqi Sun, Lisa X. Xu:
Survival Analysis for Multimode Ablation Using Self-Adapted Deep Learning Network Based on Multisource Features. 19-30 - Fan Song, Jiaxin Tian, Peng Zhang, Chenbin Ma, Yangyang Sun, Youdan Feng, Tianyi Zhang, Yanli Lei, Yufang He, Zhongyu Cai, Yuanzhi Cheng, Guanglei Zhang:
A Novel Feature Engineering Method Based on Latent Representation Learning for Radiomics: Application in NSCLC Subtype Classification. 31-41 - Jiawei Zhang, Jianyun Cao, Fan Tang, Tao Xie, Qianjin Feng, Meiyan Huang:
Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas From MRI. 42-53 - Shijie Zhao, Wenyuan Li, Zhuoyan Liu, Tianji Pang, Yang Yang, Ning Qiang, Jingyi Zhao, Bangguo Li, Baiying Lei, Junwei Han:
End-to-End Prediction of EGFR Mutation Status With Denseformer. 54-65 - Yilong Li, Linyan Wang, Xingru Huang, Yaqi Wang, Le Dong, Ruiquan Ge, Huiyu Zhou, Juan Ye, Qianni Zhang:
Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM. 66-77 - Zhi Wang, Kai Fan, Xiaoya Zhu, Honglei Liu, Gang Meng, Minghui Wang, Ao Li:
Cross-Domain Nuclei Detection in Histopathology Images Using Graph-Based Nuclei Feature Alignment. 78-88 - Hsienchih Ting, Manhua Liu:
Multimodal Transformer of Incomplete MRI Data for Brain Tumor Segmentation. 89-99 - Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai:
Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization. 100-109 - Liangliang Liu, Ying Wang, Pei Zhang, Hongbo Qiao, Tong Sun, Hui Zhang, Xue Xu, Hongcai Shang:
Collaborative Transfer Network for Multi-Classification of Breast Cancer Histopathological Images. 110-121 - Xiaoyi Lin, Mingyu Wang, Fei Li, Ziyue Xu, Jia Chen, Xin Chen, Chenglang Yuan, Songxiong Wu, Yanji Luo, Jingxian Shen, Shi-Ting Feng, Bingsheng Huang:
Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge. 122-133 - Feiyang Yu, Xi Wang, Rasoul Sali, Ruijiang Li:
Single-Cell Heterogeneity-Aware Transformer-Guided Multiple Instance Learning for Cancer Aneuploidy Prediction From Whole Slide Histopathology Images. 134-144 - Yongxian Fan, Hao Gong:
An Improved COVID-19 Classification Model on Chest Radiography by Dual-Ended Multiple Attention Learning. 145-156 - Zheng Zeng, Linkai Tao, Ruizhi Su, Yunfeng Zhu, Long Meng, Adili Tuheti, Hao Huang, Feng Shu, Wei Chen, Chen Chen:
Unsupervised Transfer Learning Approach With Adaptive Reweighting and Resampling Strategy for Inter-Subject EOG-Based Gaze Angle Estimation. 157-168 - Zhale Nowroozilarki, Bobak J. Mortazavi, Roozbeh Jafari:
Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection. 169-180 - Mustapha Deji Dere, Boreom Lee:
A Novel Approach to Surface EMG-Based Gesture Classification Using a Vision Transformer Integrated With Convolutive Blind Source Separation. 181-192 - Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto:
Automated Cough Sound Analysis for Detecting Childhood Pneumonia. 193-203 - Xiangcun Wang, Ran Shi, Xia Wu, Jiacai Zhang:
Decoding Human Interaction Type From Inter-Brain Synchronization by Using EEG Brain Network. 204-215 - Huaicheng Zhang, Wenhan Liu, Sheng Chang, Hao Wang, Jin He, Qijun Huang:
ST-ReGE: A Novel Spatial-Temporal Residual Graph Convolutional Network for CVD. 216-227 - Diego Cajal, Eduardo Gil, Pablo Laguna, Carolina Varon, Dries Testelmans, Bertien Buyse, Chris Jensen, Rohan Hoare, Raquel Bailón, Jesús Lázaro:
Obstructive Sleep Apnea Screening by Joint Saturation Signal Analysis and PPG-Derived Pulse Rate Oscillations. 228-238 - Huaiyu Zhu, Yisheng Zhao, Xiaofei Chen, Feixiang Luo, Lingli Mei, Shuohui Chen, Yun Pan:
Video-Based Neonatal Pain Assessment in Uncontrolled Conditions. 239-250 - Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang:
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. 251-261 - Ziyu Li, Qing Li, Zhiyuan Zhu, Zhongyi Hu, Xia Wu:
Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding. 262-272 - Fei Lyu, Mang Ye, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen:
Local Style Transfer via Latent Space Manipulation for Cross-Disease Lesion Segmentation. 273-284 - Lei Zhao, Guanghua Tan, Bin Pu, Qianghui Wu, Hongliang Ren, Kenli Li:
TransFSM: Fetal Anatomy Segmentation and Biometric Measurement in Ultrasound Images Using a Hybrid Transformer. 285-296 - Sheng-Kai Huang, Yu-Ting Yu, Chun-Rong Huang, Hsiu-Chi Cheng:
Cross-Scale Fusion Transformer for Histopathological Image Classification. 297-308 - Sirui Wu, Wenxuan Chen, Zhongsen Li, Shuai Wang, Haozhong Sun, Xiaolei Song:
COMET: Cross-Space Optimization-Based Mutual Learning Network for Super-Resolution of CEST-MRI. 309-320 - Minghui Zhang, Yun Gu:
Towards Connectivity-Aware Pulmonary Airway Segmentation. 321-332 - Asma Alzaid, Beth Lineham, Sanja Dogramadzi, Hemant Pandit, Alejandro F. Frangi, Sheng Quan Xie:
Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection. 333-342 - Jasper Linmans, Emiel Hoogeboom, Jeroen van der Laak, Geert Litjens:
The Latent Doctor Model for Modeling Inter-Observer Variability. 343-354 - Chengyang Zhang, Jie Chen, Bo Li, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu:
Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. 355-366 - Shuzhe Chen, Li Li, Zhichao Lin, Ke Zhang, Ying Gong, Lu Wang, Xu Wu, Maokun Li, Yuanlin Song, Fan Yang, Shenheng Xu:
Spatio-Temporal Classification of Lung Ventilation Patterns Using 3D EIT Images: A General Approach for Individualized Lung Function Evaluation. 367-378 - Junjie Shi, Li Yu, Qimin Cheng, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan:
MFTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation. 379-390 - Luyue Yu, Ju Liu, Qiang Wu, Jing Wang, Aixi Qu:
A Siamese-Transport Domain Adaptation Framework for 3D MRI Classification of Gliomas and Alzheimer's Diseases. 391-402 - Dong Miao, Jielang Li, Meng Dou, Linjie Fu, Yu Yao, Xin Wang, Feng Wen, Yali Shen:
A SwinTransformer-Based Segmentation Framework With Self-Supervised Strategy for Post-Operative Prostate Cancer Radiotherapy. 403-414 - Dingkun Liu, Danni Ai, Tianyu Fu, Yuanjin Gao, Jingfan Fan, Hong Song, Deqiang Xiao, Ping Liang, Jian Yang:
Local Contractive Registration With Biomechanical Model: Assessing Microwave Ablation After Compensation for Tissue Shrinkage. 415-426 - Runshi Zhang, Bimeng Jie, Yang He, Liang Zhu, Zefeng Xie, Zhan Liu, Hao Mo, Junchen Wang:
Craniomaxillofacial Bone Segmentation and Landmark Detection Using Semantic Segmentation Networks and an Unbiased Heatmap. 427-437 - Xin Yuan, Zhen Cui, Dingfan Xu, Shuai Zhang, Cancan Zhao, Xinbao Wu, Tongyu Jia, Bo Ouyang:
Occluded Facial Pain Assessment in the ICU Using Action Units Guided Network. 438-449 - Pavel Blinov, Vladimir Kokh:
Medical Profile Model: Scientific and Practical Applications in Healthcare. 450-458 - Xiuding Cai, Jiao Chen, Yaoyao Zhu, Beiming Wang, Yu Yao:
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control. 459-469 - Hangyu Zhu, Yonglin Wu, Yao Guo, Cong Fu, Feng Shu, Huan Yu, Wei Chen, Chen Chen:
Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models. 470-481 - Bor-Shyh Lin, Kai-Jui Liu, Wan-Hsuan Tseng, Aqsa Muzaffar Ahmed, Hsiao-Ching Wang, Bor-Shing Lin:
A Deep Learning-Based Chair System That Detects Sitting Posture. 482-490 - Marco Viceconti, Maarten De Vos, Sabato Mellone, Liesbet Geris:
Position Paper From the Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research. 491-501 - Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi:
GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. 502-513 - Saeed Iqbal, Adnan N. Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Muhammad Shahid Anwar:
AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box. 514-525 - Sijia Yang, Shunjie Chen, Pei Wang, Aimin Chen, Tianhai Tian:
TSPLASSO: A Two-Stage Prior LASSO Algorithm for Gene Selection Using Omics Data. 526-537 - Haibin Liu, Dianguo Li, Hao Wu:
lncLocator-imb: An Imbalance-Tolerant Ensemble Deep Learning Framework for Predicting Long Non-Coding RNA Subcellular Localization. 538-547 - Pan Zhang, Xiaowen Hu, Guangdi Li, Lei Deng:
AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning. 548-556 - Peng Zhao, Xian Song, Xiaoming Xi, Xiushan Nie, Xianjing Meng, Yi Qu, Yilong Yin:
Biomarkers-Aware Asymmetric Bibranch GAN With Adaptive Memory Batch Normalization for Prediction of Anti-VEGF Treatment Response in Neovascular Age-Related Macular Degeneration. 557-568 - Xiangzhen Shen, Zimeng Li, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng:
PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction. 569-579 - Lihong Peng, Wei Xiong, Chendi Han, Zejun Li, Xing Chen:
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. 580-591
Volume 28, Number 2, February 2024
- Wenjin Wang, Caifeng Shan, Steffen Leonhardt, Ramakrishna Mukkamala, Ewa Nowara:
Guest Editorial Camera-Based Health Monitoring in Real-World Scenarios. 595-597 - Ze Yang, Haofei Wang, Bo Liu, Feng Lu:
cbPPGGAN: A Generic Enhancement Framework for Unpaired Pulse Waveforms in Camera-Based Photoplethysmography. 598-608 - Changchen Zhao, Menghao Zhou, Zheng Zhao, Bin Huang, Bing Rao:
Learning Spatio-Temporal Pulse Representation With Global-Local Interaction and Supervision for Remote Prediction of Heart Rate. 609-620 - Bing-Fei Wu, Li-Wen Chiu, Yi-Chiao Wu, Chun-Chih Lai, Hao-Min Cheng, Pao-Hsien Chu:
Contactless Blood Pressure Measurement Via Remote Photoplethysmography With Synthetic Data Generation Using Generative Adversarial Networks. 621-632 - Le Zhou, Nate Lannan, Guoliang Fan:
A Review of Depth-Based Human Motion Enhancement: Past and Present. 633-644 - Mehdy Dousty, David J. Fleet, José Zariffa:
Hand Grasp Classification in Egocentric Video After Cervical Spinal Cord Injury. 645-654 - Mohamed Abul Hassan, Xuwang Yin, Yan Zhuang, Chad M. Aldridge, Timothy McMurry, Andrew M. Southerland, Gustavo K. Rohde:
A Digital Camera-Based Eye Movement Assessment Method for NeuroEye Examination. 655-665 - Rishabh Gupta, Lucas Goldstone, Shira Eisen, Dhanesh Ramachandram, Amy Cassata, Robert D. J. Fraser, Jose L. Ramirez-Garcialuna, Robert Bartlett, Justin Allport:
Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing. 666-677 - Janet Pigueiras-del-Real, Lionel C. Gontard, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Enrique Gallero-Rebollo, Ángel Ruiz-Zafra:
NRP: A Multi-Source, Heterogeneous, Automatic Data Collection System for Infants in Neonatal Intensive Care Units. 678-689 - Shengjie Ji, Dan Ma, Lunxin Pan, Wenan Wang, Xiaohang Peng, Joan Toluwani Amos, Honorine Niyigena Ingabire, Min Li, Ying Wang, Dezhong Yao, Peng Ren:
Automated Prediction of Infant Cognitive Development Risk by Video: A Pilot Study. 690-701 - Habib Hamam:
Guest Editorial Achieving Health Equity Through AI for Diagnosis and Treatment and Patient Monitoring. 702-706 - Qianghua Liu, Yu Tian, Tianshu Zhou, Kewei Lyu, Zhixiao Wang, Yixiao Zheng, Ying Liu, Jingjing Ren, Jingsong Li:
An Explainable and Personalized Cognitive Reasoning Model Based on Knowledge Graph: Toward Decision Making for General Practice. 707-718 - Wei Dai, Rui Liu, Tianyi Wu, Min Wang, Jianqin Yin, Jun Liu:
Deeply Supervised Skin Lesions Diagnosis With Stage and Branch Attention. 719-729 - Zhijiang Wan, Manyu Li, Zihan Wang, Hai Tan, Wei Li, Lisu Yu, Dinesh Jackson Samuel:
CellT-Net: A Composite Transformer Method for 2-D Cell Instance Segmentation. 730-741 - I-Jung Lee, Yu Hen Hu, Pei-Chi Hsiao, Shu-Yu Yang, Hsin-Te Lin, Yu-Chung Chen, Bor-Shing Lin:
AI-Based Automatic System for Assessing Upper-Limb Spasticity of Patients With Stroke Through Voluntary Movement. 742-752 - Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue:
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images. 753-764 - Jinpei Han, Xiao Gu, Guang-Zhong Yang, Benny Lo:
Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification. 765-776 - Jiahui Pan, Rongming Liang, Zhipeng He, Jingcong Li, Yan Liang, Xinjie Zhou, Yanbin He, Yuanqing Li:
ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection. 777-788 - Sahar Soltanieh, Javad Hashemi, Ali Etemad:
In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection. 789-800 - Yu Wei, Yongpeng Zhu, Yihan Zhou, Xiaokang Yu, Yuxi Luo:
Automatic Sleep Staging Based on Contextual Scalograms and Attention Convolution Neural Network Using Single-Channel EEG. 801-811 - Jingyao Sun, Tianyu Jia, Ping-Ju Lin, Zhibin Li, Linhong Ji, Chong Li:
Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis. 812-822 - Jian Chen, Ranlin Lu, Shilin Ye, Mengting Guang, Tewodros Megabiaw Tassew, Bin Jing, Guofu Zhang, Geng Chen, Dinggang Shen:
Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images. 823-834 - Dong Yan, Qiang Li, Chia-Wei Lin, Jeng-Yi Shieh, Wen-Chin Weng, Po-Hsiang Tsui:
Hybrid QUS Radiomics: A Multimodal-Integrated Quantitative Ultrasound Radiomics for Assessing Ambulatory Function in Duchenne Muscular Dystrophy. 835-845 - Yunchu Zhang, Jianfei Dong:
MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks. 846-857 - Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng:
MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning. 858-869 - Jules Bonnard, Arnaud Dapogny, Richard Zsamboki, Lucrezia De Braud, Davor Jurkovic, Kévin Bailly, Ferdinand Dhombres:
Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology. 870-880 - Xiaoming Qi, Yuting He, Yaolei Qi, Youyong Kong, Guanyu Yang, Shuo Li:
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation. 881-892 - Yifan Zhang, Yonghui Wang, Lisheng Xu, Yudong Yao, Wei Qian, Lin Qi:
ST-GAN: A Swin Transformer-Based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-Modality Cardiac Segmentation. 893-904 - Lian Xinsen, Kunping Yang, Chen Bingzhi, Cai Xiuhong, Lu Xinling, Xu Xinyao, Chen Jinlin, Tian Ming, Pengtao Lin, Xi Zheng, Chen Linying:
Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides. 905-916 - Ying Yang, Tao Xiang, Xiao Lv, Lihua Li, Lok Ming Lui, Tieyong Zeng:
Double Transformer Super-Resolution for Breast Cancer ADC Images. 917-928 - Chunna Tian, Zhenxi Zhang, Xinbo Gao, Heng Zhou, Ran Ran, Zhicheng Jiao:
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation. 929-940 - Wenchao Jiang, Kang Chen, Zhipeng Liang, Tianchun Luo, Guanghui Yue, Zhiming Zhao, Wei Song, Ling Zhao, Jianxuan Wen:
HT-RCM: Hashimoto's Thyroiditis Ultrasound Image Classification Model Based on Res-FCT and Res-CAM. 941-951 - Taslim Mahbub, Ahmad Obeid, Sajid Javed, Jorge Dias, Taimur Hassan, Naoufel Werghi:
Center-Focused Affinity Loss for Class Imbalance Histology Image Classification. 952-963 - Xiaoyuan Luo, Linhao Qu, Qinhao Guo, Zhijian Song, Manning Wang:
Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis. 964-975 - Yuhu Shi, Zhibin Jin, Jin Deng, Weiming Zeng, Lili Zhou:
A Novel High-Dimensional Kernel Joint Non-Negative Matrix Factorization With Multimodal Information for Lung Cancer Study. 976-987 - Bingxue Wang, Liwen Zou, Jun Chen, Yingying Cao, Zhenghua Cai, Yudong Qiu, Liang Mao, Zhongqiu Wang, Jingya Chen, Luying Gui, Xiaoping Yang:
A Weakly Supervised Segmentation Network Embedding Cross-Scale Attention Guidance and Noise-Sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors. 988-999 - Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention. 1000-1011 - Mingxing Chen, Yiqing Wang, Yuting Shi, Jie Feng, Ruimin Feng, Xiaojun Guan, Xiaojun Xu, Yuyao Zhang, Cheng Jin, Hongjiang Wei:
Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. 1012-1021 - Brandon Oubre, Sunghoon Ivan Lee:
Detection and Assessment of Point-to-Point Movements During Functional Activities Using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist. 1022-1030 - Ritika Jain, A. G. Ramakrishnan:
Modality-Specific Feature Selection, Data Augmentation and Temporal Context for Improved Performance in Sleep Staging. 1031-1042 - Zhiqiang Chen, Xue Pan, Zhifei Xu, Ke Li, Yudan Lv, Yuan Zhang, Hongqiang Sun:
A Semi-Supervised Multi-Scale Arbitrary Dilated Convolution Neural Network for Pediatric Sleep Staging. 1043-1053 - Zeyu Tang, Adam Patyk, James Jolly, Stephanie P. Goldstein, J. Graham Thomas, Adam W. Hoover:
Detecting Eating Episodes From Wrist Motion Using Daily Pattern Analysis. 1054-1065 - Ming-Yang Ho, Ming-Che Kuo, Ciao-Sin Chen, Ruey-Meei Wu, Ching-Chi Chuang, Chi-Sheng Shih, Yufeng Jane Tseng:
Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait. 1066-1077 - Jian Liu, Shuaicong Hu, Ya'nan Wang, Qihan Hu, Daomiao Wang, Cuiwei Yang:
A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals. 1078-1088 - Abdallah Alsammani, William C. Stacey, Stephen V. Gliske:
Estimation of Circular Statistics in the Presence of Measurement Bias. 1089-1100 - Zhiyuan Xu, Xiao Xu, Xuemei Zhu, Kai Niu, Jie Dong, Zhiqiang He:
Attention-Based Deep Learning Model for Prediction of Major Adverse Cardiovascular Events in Peritoneal Dialysis Patients. 1101-1109 - Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao:
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. 1110-1121 - Zhouyang Lou, Mingyang Li, Nan Kong, Noll L. Campbell, Wanzhu Tu:
An Improved Statistical Modeling Approach to Individual Anticholinergic Drug Use Trend Analysis. 1122-1133 - Hongmin Cai, Yi Liao, Lei Zhu, Zhikang Wang, Jiangning Song:
Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks. 1134-1143 - Na Cheng, Chuanmei Bi, Yong Shi, Mengya Liu, Anqi Cao, Mengkun Ren, Junfeng Xia, Zhen Liang:
Effect Predictor of Driver Synonymous Mutations Based on Multi-Feature Fusion and Iterative Feature Representation Learning. 1144-1151 - Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya, Seiya Kawada, Tianyu Zeng, Yujie An, Tamotsu Kamishima, Kenichi Tamura, Masayuki Ikebe:
Corrections to "A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis". 1152-1154
Volume 28, Number 3, March 2024
- Vijay Kumar, Amit Kumar Singh, Robertas Damasevicius:
Guest Editorial Artificial Intelligence-Driven Biomedical Imaging Systems for Precision Diagnostic Applications. 1158-1160 - Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. 1161-1172 - Nehal Ahmad, Kuan-Ting Lai, Muhammad Tanveer:
Retinal Blood Vessel Tracking and Diameter Estimation via Gaussian Process With Rider Optimization Algorithm. 1173-1184 - Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee:
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. 1185-1194 - Young Seok Jeon, Hongfei Yang, Mengling Feng:
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. 1195-1206 - Amin Ul Haq, Jianping Li, Inayat Khan, Bless Lord Y. Agbley, Sultan Ahmad, Muhammad Irfan Uddin, Wang Zhou, Shakir Khan, Iftikhar Alam:
DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems. 1207-1217 - Tanmay Kumar Behera, Muhammad Attique Khan, Sambit Bakshi:
Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning. 1218-1227 - Miao Wang, Xingwei An, Zhengcun Pei, Ning Li, Li Zhang, Gang Liu, Dong Ming:
An Efficient Multi-Task Synergetic Network for Polyp Segmentation and Classification. 1228-1239 - Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla:
QEMCGAN: Quantized Evolutionary Gradient Aware Multiobjective Cyclic GAN for Medical Image Translation. 1240-1251 - Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio:
NERONE: The Fast Way to Efficiently Execute Your Deep Learning Algorithm at the Edge. 1252-1260 - Shahriar Hossain, Amitabha Chakrabarty, Thippa Reddy Gadekallu, Mamoun Alazab, Md. Jalil Piran:
Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification. 1261-1272 - Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Haydar Celik, Tolga Çukur:
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. 1273-1284 - Long Chen, Chenghu Tang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Enhancing Motor Sequence Learning via Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): An EEG Study. 1285-1296 - Panagiota Kontou, Souheil Ben Smida, Dimitris E. Anagnostou:
Contactless Respiration Monitoring Using Wi-Fi and Artificial Neural Network Detection Method. 1297-1308 - Yue Shi, Shuhao Ma, Yihui Zhao, Chaoyang Shi, Zhiqiang Zhang:
A Physics-Informed Low-Shot Adversarial Learning for sEMG-Based Estimation of Muscle Force and Joint Kinematics. 1309-1320 - Zhangdaihong Liu, Tingting Zhu, Lei Lu, Yuan-Ting Zhang, David A. Clifton:
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring. 1321-1330 - Lang Zou, Guanzheng Liu:
Multiscale Bidirectional Temporal Convolutional Network for Sleep Apnea Detection Based on Wearable Photoplethysmography Bracelet. 1331-1340 - Riaz Minhas, Semih Arbatli, Yeliz Celik, Yuksel Peker, Beren Semiz:
A Novel Approach to Quantify Microsleep in Drivers With Obstructive Sleep Apnea by Concurrent Analysis of EEG Patterns and Driving Attributes. 1341-1352 - Chongbo Yin, Yineng Zheng, Xiaorong Ding, Yan Shi, Jian Qin, Xingming Guo:
Detection of Coronary Artery Disease Based on Clinical Phonocardiogram and Multiscale Attention Convolutional Compression Network. 1353-1362 - Jiayan Liu, Yangyang Yuan, Xinyu Jiang, Yao Guo, Fumin Jia, Chenyun Dai:
A Robust and Real-Time Framework of Cross-Subject Myoelectric Control Model Calibration via Multi-Source Domain Adaptation. 1363-1373 - Long Chen, Jiatong He, Jiasheng Zhang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Influence of Transcutaneous Vagus Nerve Stimulation on Motor Planning: A Resting-State and Task-State EEG Study. 1374-1385 - Haobo Zhang, Peng Zhang, Zhiwei Wang, Lianying Chao, Yuting Chen, Qiang Li:
Multi-Feature Decision Fusion Network for Heart Sound Abnormality Detection and Classification. 1386-1397 - Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is Attention all You Need in Medical Image Analysis? A Review. 1398-1411 - Junyang Chen, Guoheng Huang, Xiaochen Yuan, Guo Zhong, Zewen Zheng, Chi-Man Pun, Jian Zhu, Zhixin Huang:
Quaternion Cross-Modality Spatial Learning for Multi-Modal Medical Image Segmentation. 1412-1423 - Jianwei Zheng, Yidong Yan, Liang Zhao, Xiang Pan:
CGMA-Net: Cross-Level Guidance and Multi-Scale Aggregation Network for Polyp Segmentation. 1424-1435 - Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu:
Multi-Contrast Complementary Learning for Accelerated MR Imaging. 1436-1447 - Renjie Pan, Ruisheng Ran, Wei Hu, Wenfeng Zhang, Qibing Qin, Shaoguo Cui:
S3-Net: A Self-Supervised Dual-Stream Network for Radiology Report Generation. 1448-1459 - Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka:
CalibrationPhys: Self-Supervised Video-Based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras. 1460-1471 - Weijin Xu, Huihua Yang, Yinghuan Shi, Tao Tan, Wentao Liu, Xipeng Pan, Yiming Deng, Feng Gao, Ruisheng Su:
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images. 1472-1483 - Huabing Liu, Dong Nie, Jian Yang, Jinda Wang, Zhenyu Tang:
A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping. 1484-1493 - Yameng Zhang, Yufei Gao, Jing Xu, Guohua Zhao, Lei Shi, Lingfei Kong:
Unsupervised Joint Domain Adaptation for Decoding Brain Cognitive States From tfMRI Images. 1494-1503 - Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, Tae-Eui Kam:
Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation. 1504-1515 - Jinting Wang, Jiafei Liang, Yang Xiao, Joey Tianyi Zhou, Zhiwen Fang, Feng Yang:
TaiChiNet: Negative-Positive Cross-Attention Network for Breast Lesion Segmentation in Ultrasound Images. 1516-1527 - Lingzhi Tang, Zitian Zhang, Jinzhu Yang, Yong Feng, Song Sun, Baoxin Liu, Junting Ma, Jiaxi Liu, Haibo Shao:
A New Automated Prognostic Prediction Method Based on Multi-Sequence Magnetic Resonance Imaging for Hepatic Resection of Colorectal Cancer Liver Metastases. 1528-1539 - Wujun Jiang, Lijia Zhi, Shaomin Zhang, Tao Zhou:
A Dual-Branch Framework With Prior Knowledge for Precise Segmentation of Lung Nodules in Challenging CT Scans. 1540-1551 - Xueyu Zhang, Qingxiang Li, Wei Li, Yuxing Guo, Jianyun Zhang, Chuanbin Guo, Kan Chang, Nigel H. Lovell:
FD-Net: Feature Distillation Network for Oral Squamous Cell Carcinoma Lymph Node Segmentation in Hyperspectral Imagery. 1552-1563 - Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li:
Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. 1564-1574 - Yan Zhang, Chun Li, Zhaoxia Liu, Ming Li:
Semi-Supervised Disease Classification Based on Limited Medical Image Data. 1575-1586 - Wenqing Li, Wenhui Huang, Yuanjie Zheng:
CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation. 1587-1598 - Kai Chen, Zhengyuan Zhou, Yuchen Li, Xu Ji, Jiasong Wu, Jean-Louis Coatrieux, Yang Chen, Gouenou Coatrieux:
RED-Net: Residual and Enhanced Discriminative Network for Image Steganalysis in the Internet of Medical Things and Telemedicine. 1611-1622 - Yanling Li, Steven Tien Guan Thng, Adams Wai-Kin Kong:
Bridging the Gap Between Vitiligo Segmentation and Clinical Scores. 1623-1634 - Jiyao Wang, Hao Lu, Ange Wang, Yingcong Chen, Dengbo He:
Hierarchical Style-Aware Domain Generalization for Remote Physiological Measurement. 1635-1643 - Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphaël C.-W. Phan, Hernando C. Ombao:
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. 1644-1655 - Dan Wu, Yingxue Mei, Zhaohong Sun, Huilong Duan, Ning Deng:
Multi-Feature Map Integrated Attention Model for Early Prediction of Type 2 Diabetes Using Irregular Health Examination Records. 1656-1667 - Guishen Wang, Xiaoxue Lou, Fang Guo, Devin Kwok, Chen Cao:
EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records. 1668-1679 - Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford:
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. 1680-1691 - Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye:
Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models. 1692-1703 - Zekai Wang, Suhao Chen, Tieming Liu, Bing Yao:
Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction. 1704-1715 - David Pinto-Fernandez, David Rodriguez-Cianca, Juan C. Moreno, Diego Torricelli:
Human Locomotion Databases: A Systematic Review. 1716-1729 - Lijuan Duan, Yan Zhang, Zhaoyang Huang, Bian Ma, Wenjian Wang, Yuanhua Qiao:
Dual-Teacher Feature Distillation: A Transfer Learning Method for Insomniac PSG Staging. 1730-1741 - Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. 1742-1751 - Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. 1752-1761 - Liwei Liu, Yuxiao Wei, Qi Zhang, Qi Zhao:
SSCRB: Predicting circRNA-RBP Interaction Sites Using a Sequence and Structural Feature-Based Attention Model. 1762-1772 - Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Oloulade Babatounde Moctard, Jiamin Chen:
AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network. 1773-1784 - Herty Liany, Aishwarya Jayagopal, Dachuan Huang, Jing Quan Lim, Nur Izzah NBH, Anand Jeyasekharan, Choon Kiat Ong, Vaibhav Rajan:
ASTER: A Method to Predict Clinically Relevant Synthetic Lethal Genetic Interactions. 1785-1796 - Binh Duong Giap, Karthik Srinivasan, Ossama Mahmoud, Shahzad Ihsan Mian, Bradford Laurence Tannen, Nambi Nallasamy:
Adaptive Tensor-Based Feature Extraction for Pupil Segmentation in Cataract Surgery. 1599-1610
Volume 28, Number 4, April 2024
- Ghulam Muhammad, Farook Sattar, Zulfiqar Ali:
Guest Editorial Insights of Machine Learning into Medical Decision Making Systems: From Research to Practice. 1801-1802 - Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms. 1803-1814 - Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. 1815-1823 - Rosanna Turrisi, Margherita Squillario, Giulia Abate, Daniela Letizia Uberti, Annalisa Barla:
An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease. 1824-1835 - Qianqian Xie, Prayag Tiwari, Sophia Ananiadou:
Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization. 1836-1847 - Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild:
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. 1848-1859 - Sefki Kolozali, Sara L. White, Shane Norris, Maria Fasli, Alastair van Heerden:
Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study With a Cohort Group in South Africa. 1860-1871 - Le Sun, Mingyang Zhang, Benyou Wang, Prayag Tiwari:
Few-Shot Class-Incremental Learning for Medical Time Series Classification. 1872-1882 - Fahmi Khalifa, Imran Razzak, Mohammad Amjad Kamal, Ahmed Soliman:
Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges. 1883-1885 - Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim:
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. 1886-1895 - Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar, Amit Kumar Singh, Sonal Saxena:
EnDL-HemoLyt: Ensemble Deep Learning-Based Tool for Identifying Therapeutic Peptides With Low Hemolytic Activity. 1896-1905 - Aleksandr Talitckii, Joslyn L. Mangal, Brendon K. Colbert, Abhinav P. Acharya, Matthew M. Peet:
Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis. 1906-1916 - Ling-Yan Gu, Ting-Bo Chen, Jianqiang Li, Yu-An Huang, Zhihua Du, Victor C. M. Leung, Jie Chen:
Hybrid Bayesian Optimization-Based Graphical Discovery for Methylation Sites Prediction. 1917-1926 - Yiqun Lin, Liang Pan, Yi Li, Ziwei Liu, Xiaomeng Li:
Exploiting Hierarchical Interactions for Protein Surface Learning. 1927-1936 - Cong Shen, Dongdong Mao, Jijun Tang, Zhijun Liao, Shengyong Chen:
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks. 1937-1948 - Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar, Amit Kumar Singh, Sonal Saxena:
Artificial Intelligence-Based Model for Predicting the Minimum Inhibitory Concentration of Antibacterial Peptides Against ESKAPEE Pathogens. 1949-1958 - Dewei Yi, Petar Baltov, Yining Hua, Sam Philip, Pradip Kumar Sharma:
Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-Marker Detection. 1959-1970 - Guoqing Cai, Fenghui Zhang, Bolun Yang, Shoulin Huang, Ting Ma:
Manifold Learning-Based Common Spatial Pattern for EEG Signal Classification. 1971-1981 - Shisen Chen, Fen Qin, Xuesheng Ma, Jie Wei, Yuan-Ting Zhang, Yuan Zhang, Emil Jovanov:
Multi-View Cross-Fusion Transformer Based on Kinetic Features for Non-Invasive Blood Glucose Measurement Using PPG Signal. 1982-1992 - Meng Chen, Yongjian Li, Liting Zhang, Lei Liu, Baokun Han, Wenzhuo Shi, Shoushui Wei:
Elimination of Random Mixed Noise in ECG Using Convolutional Denoising Autoencoder With Transformer Encoder. 1993-2004 - Md Toki Tahmid, Muhammad Ehsanul Kader, Tanvir Mahmud, Shaikh Anowarul Fattah:
MD-CardioNet: A Multi-Dimensional Deep Neural Network for Cardiovascular Disease Diagnosis From Electrocardiogram. 2005-2013 - Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston:
ECG Feature Importance Rankings: Cardiologists Vs. Algorithms. 2014-2024 - Jiang Chang, Zhixin Zhang, Zelin Wang, Jiacheng Li, Linsheng Meng, Pan Lin:
Generative Listener EEG for Speech Emotion Recognition Using Generative Adversarial Networks With Compressed Sensing. 2025-2036 - Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang:
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. 2037-2046 - Raissa Souza, Anthony J. Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli, Oury Monchi, Matthias Wilms, Nils D. Forkert:
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier? 2047-2054 - Yuning Yang, Xiaohong Liu, Tianrun Gao, Xiaodong Xu, Ping Zhang, Guangyu Wang:
Dense Contrastive-Based Federated Learning for Dense Prediction Tasks on Medical Images. 2055-2066 - Minjoo Lim, Keun-Soo Heo, Jun-Mo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. 2067-2078 - Mohamed El-Sharkawy, Ahmed Sharafeldeen, Fahmi Khalifa, Ahmed Soliman, Ahmed Elnakib, Mohammed Ghazal, Ashraf Sewelam, Aristomenis Thanos, Harpal Singh Sandhu, Ayman El-Baz:
A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography. 2079-2090 - Jia Wu, Tian Luo, Jiachen Zeng, Fangfang Gou:
Continuous Refinement-Based Digital Pathology Image Assistance Scheme in Medical Decision-Making Systems. 2091-2102 - Xiaoyang Xie, Lin Wu, Zhiming Su, Zhipeng Sun, Xin Cao, Yuqing Hou, Xiaowei He, Fengjun Zhao:
CORONet: A Cross-Sequence Joint Representation and Hypergraph Convolutional Network for Classifying Molecular Subtypes of Breast Cancer Using Incomplete DCE-MRI. 2103-2114 - Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan:
Hybrid Masked Image Modeling for 3D Medical Image Segmentation. 2115-2125 - Zi Wang, Haoming Fang, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu:
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging. 2126-2137 - Zuyu Zhang, Yan Li, Byeong-Seok Shin:
Generalizable Polyp Segmentation via Randomized Global Illumination Augmentation. 2138-2151 - Xiu-Long Yi, You Fu, Ruiqing Liu, Hao Zhang, Rong Hua:
TSGET: Two-Stage Global Enhanced Transformer for Automatic Radiology Report Generation. 2152-2162 - Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-Aware Registration Network for Liver DCE-CT Images. 2163-2174 - Feng Zhan, Wenwu Wang, Qian Chen, Yina Guo, Lidan He, Lili Wang:
Three-Direction Fusion for Accurate Volumetric Liver and Tumor Segmentation. 2175-2186 - Aixi Qu, Qiang Wu, Jing Wang, Luyue Yu, Jing Li, Ju Liu:
TNCB: Tri-Net With Cross-Balanced Pseudo Supervision for Class Imbalanced Medical Image Classification. 2187-2198 - Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He:
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. 2199-2210 - Hongye Zeng, Kang Zhou, Songhan Ge, Yuchong Gao, Jianhao Zhao, Shenghua Gao, Rui Zheng:
Anatomical Prior and Inter-Slice Consistency for Semi-Supervised Vertebral Structure Detection in 3D Ultrasound Volume. 2211-2222 - Wei Mao, Yuzhong Chen, Zhibin He, Zifan Wang, Zhenxiang Xiao, Yusong Sun, Liang He, Jingchao Zhou, Weitong Guo, Chong Ma, Lin Zhao, Keith M. Kendrick, Bo Zhou, Benjamin Becker, Tianming Liu, Tuo Zhang, Xi Jiang:
Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates. 2223-2234 - José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. 2235-2246 - Christoph S. Metzner, Shang Gao, Drahomira Herrmannova, Elia Lima-Walton, Heidi A. Hanson:
Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. 2247-2258 - Wei Zhang, Weihan Cheng, Koichi Fujiwara, Richard Evans, Chengyan Zhu:
Predictive Modeling for Hospital Readmissions for Patients With Heart Disease: An Updated Review From 2012-2023. 2259-2269 - Ganjun Liu, Tao Zhang, Xiaonan Liu, Xiaohui Hou, Biyun Ding, Dehui Fu, Zhibo Pang:
PVR-Vocoder: A Pathological Voice Repair Vocoder for Voice Disorders. 2270-2281 - Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee:
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. 2282-2293 - Fanglin Zhu, Xu Zhang, Batuo Zhang, Yonghui Xu, Lizhen Cui:
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph. 2294-2303 - Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Carter Bradshaw, Shania Prytherch, Isabel Berman, John Torous, William E. Copeland, Nick Cheney, Ryan S. McGinnis, Ellen W. McGinnis:
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. 2304-2313 - Xueyang Zhou, Qiming Fu, Youbing Xia, Yunzhe Wang, You Lu, Yanming Chen, Jianping Chen:
LoGo-GR: A Local to Global Graphical Reasoning Framework for Extracting Structured Information From Biomedical Literature. 2314-2325 - Siddhartha Kapuria, Patrick Minot, Ariel Kapusta, Naruhiko Ikoma, Farshid Alambeigi:
A Novel Dual Layer Cascade Reliability Framework for an Informed and Intuitive Clinician-AI Interaction in Diagnosis of Colorectal Cancer Polyps. 2326-2337 - Liang Wu, Shunbo Hu, Duanwei Wang, Changchun Liu, Li Wang:
RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification. 2338-2349 - Marcos Lupión, Federico Cruciani, Ian Cleland, Chris D. Nugent, Pilar M. Ortigosa:
Data Augmentation for Human Activity Recognition With Generative Adversarial Networks. 2350-2361 - Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Xi Zhou, Lun Hu:
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering. 2362-2372 - Chuan-Yuan Wang, Zhi-Ping Liu:
Network Activity Evaluation Reveals Significant Gene Regulatory Architectures During SARS-CoV-2 Viral Infection From Dynamic scRNA-seq Data. 2373-2384 - Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran:
TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification. 2385-2396 - Xun Wang, Lian Qiao, Peng Qu, Qing Yang:
TBCA: Prediction of Transcription Factor Binding Sites Using a Deep Neural Network With Lightweight Attention Mechanism. 2397-2407 - Yingwen Zhao, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Predicting Protein Functions Based on Heterogeneous Graph Attention Technique. 2408-2415 - Shuhan Huang, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang:
Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction. 2416-2427 - Hai-Hui Huang, Jun Shu, Yong Liang:
MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification. 2428-2436 - Rahele Mohammadi, Peyman Neamatollahi, Morteza Moradi, Mahmoud Naghibzadeh, Abdorreza Savadi:
Efficient Motif Discovery in Protein Sequences Using a Branch and Bound Algorithm. 2437-2444 - Cong Wang, Zhijie He, Runchang Jia, Shirui Pan, Lachlan J. M. Coin, Jiangning Song, Fuyi Li:
PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction. 2445-2454
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