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Publication search results
found 69 matches
- 2023
- Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu:
DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. ICIC (3) 2023: 791-802 - Weinian Cao, Shengxiang Rao, Lijun Luo, Huijuan Zhang, Changqing Yin:
PEA-U-Net: Parallel Embedded Attention for Liver and Tumor Segmentation in CT Volumes. ICIC (3) 2023: 41-54 - Zihan Cao, Zhenwei Shi, Xiaomei Huang, Chu Han, Xinyu Dong, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer. ICIC (3) 2023: 300-311 - Jiejin Deng, Yijia Zhang, Jing Zhang, Yaohua Pan, Mingyu Lu:
DTI-MACF: Drug-Target Interaction Prediction via Multi-component Attention Network. ICIC (3) 2023: 639-650 - Xinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. ICIC (3) 2023: 312-323 - Xu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao:
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction. ICIC (3) 2023: 291-299 - Zhihua Du, Xing Zhong, Min Fang, Jianqiang Li:
GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence Data. ICIC (3) 2023: 532-543 - Zi-Ang Fu, Xiaohua Wan, Fa Zhang:
GPU Optimization of Biological Macromolecule Multi-tilt Electron Tomography Reconstruction Algorithm. ICIC (3) 2023: 473-484 - Mingxiang Gao, Bo Li:
Molecular Identification Using Deep Learning Method. ICIC (3) 2023: 371-382 - Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu:
Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder. ICIC (3) 2023: 359-367 - Zhongyu He:
Drug-Target Interaction Prediction Based on Knowledge Graph and Convolutional Neural Network Integrated with CBAM Module. ICIC (3) 2023: 653-665 - Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao:
A Novel Descriptor and Molecular Graph-Based Bimodal Contrastive Learning Framework for Drug Molecular Property Prediction. ICIC (3) 2023: 700-715 - Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao:
EEG Convolutional Sparse Transformer for Epilepsy Detection and Related Drug Classification. ICIC (3) 2023: 739-751 - Yuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang:
RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph. ICIC (3) 2023: 383-394 - Yu Jiang, Jingli Zhou, Yong Zhang, Yulin Wu, Xuan Wang, Junyi Li:
NIEE: Modeling Edge Embeddings for Drug-Disease Association Prediction via Neighborhood Interactions. ICIC (3) 2023: 687-699 - Xunguang Ju, Kai Xiao, Luying He, Qi Wang, Zhuo Wang, Wenzheng Bao:
Plant Vacuole Protein Classification with Ensemble Stacking Model. ICIC (3) 2023: 617-626 - Zhang Leyi, Long Yingjie, Hu Yingbiao, Huinian Li:
LXLMEPS: Leveraging the XGB-lCE-Based Model for Early Prediction of Sepsis. ICIC (3) 2023: 416-427 - Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu:
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks. ICIC (3) 2023: 180-191 - Cheng Li, Xiaoyue Fang, Ran Zhou, Zhi Yang, Haitao Gan:
SSTVC: Carotid Plaque Classification from Ultrasound Images Using Self-supervised Triple-View Contrast Learning. ICIC (3) 2023: 144-155 - Zonghao Li, Jing Hu, Xiaolong Zhang:
De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model. ICIC (3) 2023: 627-638 - Peixuan Lin, Likun Jiang, Fatma S. Ahmed, Xinru Ruan, Xiangrong Liu, Juan Liu:
MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein Interactions. ICIC (3) 2023: 131-143 - Jian Liu, Long Hou, Shu-Guang Ge:
Multi-omics Cancer Subtype Recognition Based on Multi-kernel Partition Aligned Subspace Clustering. ICIC (3) 2023: 395-404 - Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li:
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. ICIC (3) 2023: 268-278 - Fangbo Liu, Feng Yang:
Federated Semi-supervised Medical Image Segmentation Based on Asynchronous Transmission. ICIC (3) 2023: 55-66 - Fangbo Liu, Feng Yang:
Medical Image Segmentation Based on Federated Distillation Optimization Learning on Non-IID Data. ICIC (3) 2023: 347-358 - Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu:
An Efficient Drug Design Method Based on Drug-Target Affinity. ICIC (3) 2023: 764-775 - Pengyu Luo, Yuehan Huang, Xinyi Zhang, Lian Shen, Yuan Lin, Xiangrong Liu, Xiaoyang Huang:
Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity. ICIC (3) 2023: 544-555 - Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Explainable Stuttering Recognition Using Axial Attention. ICIC (3) 2023: 209-220 - Dongdong Mao, Cong Shen, Ruilin Wu, Yuyang Han, Yankai Wu, Jinxuan Wang, Jijun Tang, Zhijun Liao:
Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders. ICIC (3) 2023: 405-415 - Dengkang Qin, Mengxue Liu, Zheng Chen, Qian Lei:
Optimizing Cardiac Surgery Risk Prediction: An Machine Learning Approach with Counterfactual Explanations. ICIC (3) 2023: 221-232
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