Abstract is missing.
- A Segmentation Method of 3D Liver Image Based on Multi-scale Feature Fusion and Coordinate Attention MechanismMeng Zhang, Xiaolong Zhang, He Deng, Hongwei Ren. 3-15 [doi]
- A Prior-Guided Generative Adversarial Net for Semantically Strict Ultrasound Images AugmentationRuiguo Yu, Pan Sun, Xuewei Li, Ruixuan Zhang, Zhiqiang Liu, Jie Gao 0008. 16-27 [doi]
- DETA-Net: A Dual Encoder Network with Text-Guided Attention Mechanism for Skin-Lesions SegmentationCong Shen, Xinyue Wang, Jijun Tang, Zhijun Liao. 28-40 [doi]
- PEA-U-Net: Parallel Embedded Attention for Liver and Tumor Segmentation in CT VolumesWeinian Cao, Shengxiang Rao, Lijun Luo, Huijuan Zhang, Changqing Yin. 41-54 [doi]
- Federated Semi-supervised Medical Image Segmentation Based on Asynchronous TransmissionFangbo Liu, Feng Yang. 55-66 [doi]
- Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides PredictionJiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng 0001. 67-76 [doi]
- Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping AlgorithmPi-Jing Wei, Shu-Li Zhou, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng 0001. 77-86 [doi]
- Identification of CircRNA-Disease Associations from the Integration of Multi-dimensional Bioinformatics with Graph Auto-encoder and Attention Fusion ModelLin Yuan, Jiawang Zhao, Zhen Shen, Wendong Yu, Hongwei Wei, Shengguo Sun, Xingang Wang, Yushui Geng. 87-96 [doi]
- An Improved Method for CFNet Identifying Glioma CellsLin Yuan, Jinling Lai, Zhen Shen, Wendong Yu, Hongwei Wei, Ling Zhao, Zhijie Xu, Xingang Wang, Yushui Geng. 97-105 [doi]
- Extraction of Relationship Between Esophageal Cancer and Biomolecules Based on BioBERTDayu Tan, Yang Yang, Minglu Wang, Pengpeng Wang, Lejun Zhang, Tseren-Onolt Ishdorj, Yansen Su. 106-118 [doi]
- BIJE: A Joint Extraction Model for Biomedical Information ExtractionYansen Su, Pengpeng Wang, Shuna Cui, Fei Xu, Tseren-Onolt Ishdorj. 119-130 [doi]
- MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein InteractionsPeixuan Lin, Likun Jiang, Fatma S. Ahmed, Xinru Ruan, Xiangrong Liu, Juan Liu 0003. 131-143 [doi]
- SSTVC: Carotid Plaque Classification from Ultrasound Images Using Self-supervised Triple-View Contrast LearningCheng Li, Xiaoyue Fang, Ran Zhou 0002, Zhi Yang, Haitao Gan. 144-155 [doi]
- Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information NetworkBo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu. 156-167 [doi]
- An Unsupervised Domain Adaptive Network Based on Category Prototype Alignment for Medical Image SegmentationMei Yu, Zhiyuan Xu, Jie Gao 0008, Jian Yu, Mankun Zhao. 168-179 [doi]
- A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information NetworksDong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu. 180-191 [doi]
- MORGAT: A Model Based Knowledge-Informed Multi-omics Integration and Robust Graph Attention Network for Molecular Subtyping of CancerHaobo Shi, Yujie Gu, Hengyuan Zhang, Xuan Li, Yangkun Cao. 192-206 [doi]
- Explainable Stuttering Recognition Using Axial AttentionYu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen 0004, Kun Qian 0003, Bin Hu 0001, Björn W. Schuller, Yoshiharu Yamamoto. 209-220 [doi]
- Optimizing Cardiac Surgery Risk Prediction: An Machine Learning Approach with Counterfactual ExplanationsDengkang Qin, Mengxue Liu, Zheng Chen, Qian Lei. 221-232 [doi]
- Patient Mortality Prediction Based on Two-Layer Attention Neural NetworkLin Wang, Zhengzhong Wang, Quanrun Song, Changtong Ding, Xiaoning Li, Xiangwei Zhang, Shichao Geng. 233-245 [doi]
- Identifying Drug-Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding ModelKang Wang, Jing Hu, Xiaolong Zhang. 246-257 [doi]
- An Omics-Based Metastasis Prediction Model for Osteosarcoma Patients Using Multi-scale Attention NetworkNing Wang, Yizhang Jiang. 258-267 [doi]
- Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets AffinityYang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li. 268-278 [doi]
- Seizure Prediction Based on Multidimensional EEG Spatial Matrix and Residual Network StructureJiahao Zhang, Qingfang Meng, Zewen Wang. 279-290 [doi]
- LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network ConstructionXu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao. 291-299 [doi]
- DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast CancerZihan Cao, Zhenwei Shi, Xiaomei Huang, Chu Han, Xinyu Dong, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu. 300-311 [doi]
- Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRIXinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu. 312-323 [doi]
- Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation AnalysisYi-Ming Wang, Xiang-Zhen Kong, Boxin Guan, Chun-Hou Zheng, Ying-Lian Gao. 324-334 [doi]
- A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICUYuan Zhang, Zhengbo Zhang, Xiaoli Liu, Lei Zha, Fengcong, Xiaorui Su, Bowei Zhao, Lun Hu, Pengwei Hu. 335-346 [doi]
- Medical Image Segmentation Based on Federated Distillation Optimization Learning on Non-IID DataFangbo Liu, Feng Yang. 347-358 [doi]
- Spatial Domain Identification Based on Graph Attention Denoising Auto-encoderYue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu. 359-367 [doi]
- Molecular Identification Using Deep Learning MethodMingxiang Gao, Bo Li. 371-382 [doi]
- RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge GraphYuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang. 383-394 [doi]
- Multi-omics Cancer Subtype Recognition Based on Multi-kernel Partition Aligned Subspace ClusteringJian Liu, Long Hou, Shu-Guang Ge. 395-404 [doi]
- Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-EncodersDongdong Mao, Cong Shen, Ruilin Wu, Yuyang Han, Yankai Wu, Jinxuan Wang, Jijun Tang, Zhijun Liao. 405-415 [doi]
- LXLMEPS: Leveraging the XGB-lCE-Based Model for Early Prediction of SepsisZhang Leyi, Long Yingjie, Hu Yingbiao, Huinian Li. 416-427 [doi]
- DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural NetworksHayat Ali Shah, Juan Liu 0007, Zhihui Yang, Jing Feng. 428-446 [doi]
- SpliceSCANNER: An Accurate and Interpretable Deep Learning-Based Method for Splice Site PredictionRongxing Wang, Junwei Xu, Xiaodi Huang, Wangjing Qi, Yanju Zhang. 447-459 [doi]
- TransOrga: End-To-End Multi-modal Transformer-Based Organoid SegmentationYiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan. 460-472 [doi]
- GPU Optimization of Biological Macromolecule Multi-tilt Electron Tomography Reconstruction AlgorithmZi-Ang Fu, Xiaohua Wan, Fa Zhang 0001. 473-484 [doi]
- Multi-task Question Generation Based Data Augmentation for Biomedical Answer GenerationJunting Zhao, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong 0001. 485-496 [doi]
- Prediction of circRNA-Binding Protein Site Based on Hybrid Neural Networks and Recurrent Forests MethodZewen Wang, Qingfang Meng, Qiang Zhang, Jiahao Zhang. 497-508 [doi]
- An Improved Variational Autoencoder-Based Clustering Method for Pan-Cancer Diagnosis and SubtypingBinhua Tang, Jiafei Nie. 509-520 [doi]
- A Stacking-Based Ensemble Learning Predictor Combined with Particle Swarm Optimizer for Identifying RNA Pseudouridine SitesXiao Wang, Pengfei Li, Lijun Han, Rong Wang. 521-531 [doi]
- GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence DataZhihua Du, Xing Zhong, Min Fang, Jianqiang Li 0001. 532-543 [doi]
- Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding SpecificityPengyu Luo, Yuehan Huang, Xinyi Zhang, Lian Shen, Yuan Lin, Xiangrong Liu, Xiaoyang Huang. 544-555 [doi]
- A Transformer-Based Deep Learning Approach with Multi-layer Feature Processing for Accurate Prediction of Protein-DNA Binding ResiduesHaipeng Zhao, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu. 556-567 [doi]
- TAPE-Pero: Using Deep Representation Learning Model to Identify and Localize Peroxisomal ProteinsJianan Sui, Yuehui Chen, Yi Cao, Yaou Zhao. 568-577 [doi]
- Classification of Coding and Non-coding Genes in Paeonia Lactiflora Pall Based on Machine LearningBolun Yang, Yuehui Chen, Yaou Zhao, Yi Cao. 578-586 [doi]
- Accurate Identification of Submitochondrial Protein Location Based on Deep Representation Learning Feature FusionJianan Sui, Yuehui Chen, Yi Cao, Yaou Zhao. 587-596 [doi]
- Identification of Active and Binding Sites with Multi-dimensional Feature Vectors and K-Nearest Neighbor Classification AlgorithmBaichuan Zhang, Zhuo Wang, Wenzheng Bao, Honglin Cheng. 597-606 [doi]
- Mit Protein Transformer: Identification Mitochondrial Proteins with Transformer ModelBaichuan Zhang, Luying He, Qi Wang, Zhuo Wang, Wenzheng Bao, Honglin Cheng. 607-616 [doi]
- Plant Vacuole Protein Classification with Ensemble Stacking ModelXunguang Ju, Kai Xiao, Luying He, Qi Wang, Zhuo Wang, Wenzheng Bao. 617-626 [doi]
- De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit ModelZonghao Li, Jing Hu, Xiaolong Zhang. 627-638 [doi]
- DTI-MACF: Drug-Target Interaction Prediction via Multi-component Attention NetworkJiejin Deng, Yijia Zhang, Jing Zhang, Yaohua Pan, Mingyu Lu. 639-650 [doi]
- Drug-Target Interaction Prediction Based on Knowledge Graph and Convolutional Neural Network Integrated with CBAM ModuleZhongyu He. 653-665 [doi]
- Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of ProteinRunhua Zhang, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu. 666-675 [doi]
- Drug-Target Interaction Prediction Based on Interpretable Graph Transformer ModelBaozhong Zhu, Runhua Zhang, Tengsheng Jiang, Zhiming Cui, Hongjie Wu. 676-686 [doi]
- NIEE: Modeling Edge Embeddings for Drug-Disease Association Prediction via Neighborhood InteractionsYu Jiang, Jingli Zhou, Yong Zhang, Yulin Wu, Xuan Wang, Junyi Li. 687-699 [doi]
- A Novel Descriptor and Molecular Graph-Based Bimodal Contrastive Learning Framework for Drug Molecular Property PredictionZhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao. 700-715 [doi]
- Multi-objective Optimization-Based Approach for Detection of Breast Cancer BiomarkersJiaxin Yang, Chuan-Yuan Wang, Duanchen Sun, Zhi-Ping Liu. 716-726 [doi]
- MOFNet: A Deep Learning Framework of Integrating Multi-omics Data for Breast Cancer DiagnosisChunxiao Zhang, Pengpai Li, Duanchen Sun, Zhi-Ping Liu. 727-738 [doi]
- EEG Convolutional Sparse Transformer for Epilepsy Detection and Related Drug ClassificationZhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao. 739-751 [doi]
- Adopting Autodock Koto for Virtual Screening of COVID-19Zhangfan Yang, Kun Cao, Junkai Ji, Zexuan Zhu, Jianqiang Li 0001. 752-763 [doi]
- An Efficient Drug Design Method Based on Drug-Target AffinityHaoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu. 764-775 [doi]
- Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural NetworkXizi Wang, Jing Hu, Xiaolong Zhang. 776-790 [doi]
- DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual AttentionZhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu. 791-802 [doi]
- Drug-Target Interaction Prediction Based on Knowledge Graph Embedding and BiLSTM NetworksYiwen Zhang, Mengqi Cheng. 803-813 [doi]