Table of Contents

• Multi-Modal Deep Feature Integration for Alzheimer's Disease StagingAmritpal Singh, Wenqi Shi, May D. Wang. 1-6 [doi]
• The interaction between mutated DYRK1A and APP suggests a potential target for vascular cognitive impairmentMelisa Ece Zeylan, Attila Gürsoy, Simge Senyuz, Ozlem Keskin. 1-7 [doi]
• On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNIHenry Musto, Daniel Stamate, Doina Logofatu, Lahcen Ouarbya. 1-7 [doi]
• A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal IntelligenceXiao Tian, Dong Sui, Weifeng Liu, Maozu Guo 0001, Gongning Luo, Kuanquan Wang. 1-6 [doi]
• AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategiesRuiqi Liu, Zilong Zhang, Xiuhao Fu, Shankai Yan, Feifei Cui. 23-29 [doi]
• Protein function prediction using graph neural network with multi-type biological knowledgeYuyan Shuai, Wenkang Wang, Yiming Li, Min Zeng, Min Li. 30-35 [doi]
• Integrating Heterogeneous Biological Networks and Ontologies for Improved Protein Function Prediction with Graph Neural NetworksNhat C. Tran, Jean X. Gao. 43-48 [doi]
• Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune ReceptorsYang Xiao, Yueshan Huang, Yu Zhao 0009, Fan Xu, Qin Ren, Bing He, Jianhua Yao 0001, Xiao Liu. 69-75 [doi]
• ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learningWenwu Zeng, Dafeng Lv, Xuan Liu, Guo Chen, Wenjuan Liu, Shaoliang Peng. 76-81 [doi]
• SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function AnnotationQiang Zhang 0031, Juan Liu 0007, Feng Yang, Zhihui Yang, Jing Feng. 82-87 [doi]
• Parallel Computation of Conformational Stability for CD4+ T-cell Epitope PredictionAvik Bhattacharya, James O. Wrabl, Samuel J. Landry, Ramgopal R. Mettu. 88-93 [doi]
• Inference of subgenomes resulting from polyploid events using synteny based dynamic linking and maximum neighbourhoodThulani Hewavithana, Chu Shin Koh, Avleen Kaur, Raymond Spiteri, Isobel Parkin, Lingling Jin. 104-109 [doi]
• Genotype-to-Phenotype Associations with Frequented Region VariantsIndika Kahanda, Buwani Manuweera, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary, Joann Mudge. 114-119 [doi]
• MulAxialGO: Multi-Modal Feature-Enhanced Deep Learning Model for Protein Function PredictionXun Wang, Peng Qu, Xiangyu Meng 0005, Qing Yang, Lian Qiao, Chaogang Zhang, Xianjin Xie. 132-137 [doi]
• DyNRW: Time-Series Dynamical Networks for Identifying HCC-Related GenesJin A, Ju Xiang, Min Li 0007. 147-152 [doi]
• A Novel Drug-Drug Interaction Prediction Model Based on Line Subgraph Generation StrategyTian Bai 0002, Chu Li, Xinyue Peng, Haotian Guan, Zefan Zhang, Guishen Wang. 153-158 [doi]
• A personalized pathway activation inference method based on pathway structure for classification of inflammatory bowel diseaseXingyi Li, Xuequn Shang 0001, Zhelin Zhao, Chenzhuo Yan. 171-176 [doi]
• DeepEAG: A deep learning-based hybrid framework for identifying epilepsy-associated genes using a stacking strategyJunfeng Xie, Dafang Zhang 0001, Wei Li. 197-202 [doi]
• Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial NetworksLiang Yu 0002, Huan Zhu, Da Dong, Lin Gao. 203-208 [doi]
• A flexible gene regulatory network reconstruction method based on autoencoder and graph attention networkRuiqing Zheng, Yanping Zeng, Weixing Zeng, Min Li 0007. 215-221 [doi]
• Imputing single-cell RNA-seq data by graph autoencoder with multi-kernelKang Jiang, Bo Liao, Petros Papagerakis, Fang-Xiang Wu. 228-232 [doi]
• GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention NetworkWen-Yue Kang, Chun-Hou Zheng 0001, Ying-Lian Gao, Juan Wang 0003, Junliang Shang, Jin-Xing Liu 0001. 233-236 [doi]
• Combining Tags of Various Lengths Benefits Peptide Identification in Bottom-up ProteomicsShengzhi Lai, Ning Li, Weichuan Yu. 241-246 [doi]
• A multi-granularity information-enhanced pre-training method for predicting the coding potential of sORFs in plant lncRNAsShihao Xia, Jun Meng, Zhaowei Wang 0005, Yu Wang, Haibin Li, Zhaojing Qin, Yushi Luan. 260-263 [doi]
• PMMVar: Leveraging Multi-level Protein Structures for Enhanced Coding Variant Pathogenicity PredictionYijia Chen, Yiwen Chen, Shanling Nie, Hai Yang 0002. 269-274 [doi]
• GROD: Joint Inference of Gene Regulatory Networks and Data Imputation in Single-Cell RNA Sequencing with Temporal ConsiderationJiayi Dong, Fei Wang 0017. 275-280 [doi]
• A multi-view comparative learning method for spatial transcriptomics data clusteringWei Peng 0004, Zhihao Zhang, Wei Dai, Xiaodong Fu, Li Liu 0032, Lijun Liu, Ning Yu 0004. 287-292 [doi]
• Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human SystemsYunyun Su, Feifei Cui, ShiYu Yan, Quan Zou 0001, Chen Cao, Zilong Zhang. 293-298 [doi]
• Data-driven trait heritability-based extraction of human facial phenotypesMeng Yuan, Seppe Goovaerts, Hanne Hoskens, Stephen Richmond, Susan Walsh, Mark D. Shriver, John R. Shaffer, Mary L. Marazita, Seth M. Weinberg, Hilde Peeters, Peter Claes. 312-319 [doi]
• A deep graph convolution network with attention for clustering scRNA-seq dataXiang Chen, Junnan Yu, Li Peng, Min Li. 320-323 [doi]
• Essential proteins identification based on weak consensus model and neighborhood aggregation centralityZhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo 0002, Jiafei Liu, Wei Peng 0004, Xiaoshu Zhu. 324-327 [doi]
• Identification of Important SNPs using Bayesian Deep Learning on Whole-Genome Arabidopsis thaliana DataNikita Kohli, Jabed H. Tomal, Yan Yan. 328-332 [doi]
• Comprehensive evaluation of RNA-seq alignment methods based on long-read sequencing dataYadong Liu, Hongzhe Guo, Zhenhao Lu, Yadong Wang 0001, Zhongyu Liu, Tao Jiang 0021. 339-342 [doi]
• GRAIGH: Gene Regulation accessibility integrating GeneHancer databaseLorenzo Martini, Roberta Bardini, Alessandro Savino, Stefano Di Carlo. 343-348 [doi]
• ADCL: an adaptive dual contrastive learning framework based on MHGAT and VAE for cell type deconvolution in spatial transcriptomicsShilin Zhang, Qingchen Zhang 0001. 355-358 [doi]
• Integrative Drug Discovery Platform: A Modular Approach for Efficient and Automated Virtual ScreeningTianci Li, Lulu Xie, Zhonghai Zhang, Xu Li, Bo Duan, Gang Niu 0008, Shiwei Sun, Fa Zhang 0001, Runting Zhang, Guangming Tan, Chunming Zhang. 365-372 [doi]
• A Distribution Preserving Model for Molecular Graph GenerationChangsheng Ma, Qiang Yang 0015, Shangsong Liang, Xin Gao 0001. 379-386 [doi]
• Causal Intervention for Measuring Confidence in Drug-Target Interaction PredictionWenting Ye, Chen Li 0027, Yang Xie, Wen Zhang 0008, Hong-Yu Zhang, Bowen Wang, Debo Cheng, Zaiwen Feng. 395-400 [doi]
• Improving efficiency in rationale discovery for Out-of-Distribution molecular representationsJiahui Zhang, Jiahe Li 0011, Wenjie Du, Shuai Zhang, Di Wu, Yang Wang. 401-407 [doi]
• GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat predictionBing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu 0008, Jian-Yu Shi. 408-411 [doi]
• Interpretable multi-view attention network for drug-drug interaction predictionXuan Lin, Qi Wen, Sijie Yang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng. 422-427 [doi]
• Enhancing Drug Repositioning through Contrastive Learning and Denoised Negative SamplingKun-Yu Ni, Yu Huang, Rong-Kang Xu, Xiao-Mei Wei 0001. 428-431 [doi]
• NrGe-DTL: a computational framework for cancer drug response prediction based on deep transfer learning from combined denoised genomic profiles and chemical structure embedding of drugsYuchen Zhang, Linghang Lian, Xuhua Yang 0001. 440-445 [doi]
• Ulcerative Colitis Mayo Endoscopic Scoring Classification with Active Learning and Generative Data AugmentationÜmit Mert Çaglar, Alperen Inci, Oguz Hanoglu, Görkem Polat, Alptekin Temizel. 462-467 [doi]
• Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology ReportsJamie Deng, Yusen Wu, Hilary Hayssen, Brian Englum, Aman Kankaria, Minerva Mayorga-Carlin, Shalini Sahoo, John Sorkin, Brajesh Lal, Yelena Yesha, Phuong Nguyen. 480-487 [doi]
• ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG SupercomputerYutao Dou, Yangtao Zheng, Dazheng Liu, Keqin Li 0001, Sheng Xiao, Shaoliang Peng. 488-493 [doi]
• TFBSnet: A deep learning-based tool for predicting transcription factor binding site from DNA sequencesZhihua Du, Tianyou Huang, Jian-Qiang Li 0001, Vladimir N. Uversky. 494-499 [doi]
• Morphological Guided Causal Constraint Network for Medical Image Multi-Object SegmentationYiFan Gao, Jun Li 0004, Xinyue Chang, Yulong Zhang, Riqing Chen, Changcai Yang, Yi Wei, Heng Dong, Lifang Wei. 516-521 [doi]
• Isoform Function Prediction Based on Heterogeneous Graph Attention NetworksKuo Guo, Yifan Li, Hao Chen, Hong-bin Shen, Yang Yang 0030. 522-527 [doi]
• Mining disease-associated genes based on heterogeneous graph transformerXingli Guo, Liang Lu, Yao Yun, Lin Gao. 528-533 [doi]
• Enhancing Cancer Gene Prediction through Aligned Fusion of Multiple PPI Networks Using Graph Transformer ModelsZebei Han, Gufeng Yu, Yang Yang 0030. 542-547 [doi]
• SIDE: Sequence-Interaction-Aware Dual Encoder for Predicting circRNA Back-Splicing EventsChengxin He, Lei Duan, Huiru Zheng, Yuening Qu, Zhenyang Yu. 548-553 [doi]
• Subtype-DCGCN: an unsupervised approach for cancer subtype diagnosis based on multi-omics dataYabin Kuang, Minzhu Xie. 554-559 [doi]
• LI-FPN: Depression and Anxiety Detection from Learning and ImitationXingyun Li, Lin Lu, Xinyu Yi, Hao Wang, Yunshao Zheng, Yanhong Yu, Qingxiang Wang. 567-573 [doi]
• AMTL-RFC:A multi-task learning based method for evaluating the feasibility of enzymatic reactionsJianghang Liu, Juan Liu 0007, Zhihui Yang, Feng Yang, Qiang Zhang 0031. 574-579 [doi]
• Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type AnnotationYuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou 0001. 580-585 [doi]
• SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional NetworkJun Long, Junkun Hong, Zidong Wang, Tingxuan Chen, Yunfei Chen 0015, Yang Liu. 586-593 [doi]
• Exploring Post-Training Quantization of Protein Language ModelsShuang Peng, Fei Yang, Ning Sun, Sheng Chen, Yanfeng Jiang, Aimin Pan. 602-608 [doi]
• Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data ClusteringFei Qi 0007, Junyu Li 0001, Yi Liao, Wenxiong Liao, Jiazhou Chen, Hongmin Cai. 609-615 [doi]
• Identifying Disease-related Brain Imaging Quantitative Traits and Related Genetic Variations via A Bidirectional Association Learning MethodMuheng Shang, Yan Yang, Minjianan Zhang, Jin Zhang, Duo Xi, Lei Guo 0002, Lei Du 0001. 616-621 [doi]
• Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseasesNan Sheng, Lan Huang 0002, Yan Wang 0028, Ling Gao, Huiyan Sun, Xuping Xie. 622-629 [doi]
• scSRL: Siamese Representation Learning-based method for analyzing single-cell RNA-seq dataZhaoyang Sun, Ying Liu 0027, Pei Liu, Wanwan Shi, Jiawei Luo 0001. 636-641 [doi]
• MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related MicrobesShuang Wang, Jin-Xing Liu 0001, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao. 648-653 [doi]
• A Transformer-based Patient Clustering Method in Continuing Care Retirement CommunitiesZhenggui Xiang. 684-689 [doi]
• EdtClust: A fast homologous protein sequences clustering method based on edit distanceYixin Xiang, Jiachang Gu, Jianyu Zhou. 690-697 [doi]
• TransCaller: An End-to-end Accelerated Transformer-based Nanopore Basecaller on GPUsDi Xu, Peiheng Zhang, Yang Zhang, Shunchen Shi, Xueqi Li 0001. 704-711 [doi]
• FACExplainer: Generating Model-faithful Explanations for Graph Neural Networks Guided by Spatial InformationHua Yang, C. L. Philip Chen, Bianna Chen, Tong Zhang 0015. 718-725 [doi]
• Identifying Main and Epistasis Effects of Genetic Variations on Neuroimaging Phenotypes Using Effective Feature Interaction LearningJin Zhang, Qiang Xie, Muheng Shang, Duo Xi, Minjianan Zhang, Lei Guo 0002, Lei Du 0001. 759-764 [doi]
• TS-DDD: A Two-Stage Training Strategy for Dialogue-based Disease DiagnosisTianbao Zhang, Huiying Cao, Shi Feng 0001, Yuan Cui, Daling Wang. 765-770 [doi]
• Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data AnalysisLang Zhao, Yiqun Zhang 0006, Xiaopeng Luo, Yue Zhang, Yiu-ming Cheung, Kangshun Li. 771-778 [doi]
• Multi-omics Sampling-based Graph Transformer for Synthetic Lethality PredictionXusheng Zhao, Hao Liu, Qiong Dai, Hao Peng 0001, Xu Bai, Huailiang Peng. 785-792 [doi]
• Self-supervised learning for atrial fibrillation detection with ECG using CNNTransformerCongyu Zou, Alexander Müller, Eimo Martens, Phillip Müller, Daniel Rückert, Alexander Steger, Matthias Becker, Wolfgang Utschick. 807-812 [doi]
• MoSCHG: Multi-omics Single-cell Classification based on Heterogeneous Graphs and Supervised Contrastive LearningXinjian Chen 0007, Chenyang Xie, Yunhao Zhang, Song He, Xiaochen Bo, Zhongnan Zhang. 835-840 [doi]
• Explainable Transcription Factor Prediction with Protein Language ModelsLiyuan Gao, Kyler Shu, Jun Zhang, Victor S. Sheng. 853-856 [doi]
• A Dynamic Composite Ensemble Learning Framework for Multi-Stage Dementia PredictionBangyan Li, Junyan Mao, Xingjiao Wu, Yuling Sun, Liang He 0001. 867-872 [doi]
• A Study of Medical Decision Recommendation Generation and Similarity Fusion Based on CDSS and ChatGPT-4Ming Liu, Ziji Liu, Liang Xiao 0004, Rujun Zhu, Qianchen Wang, Miaomiao He. 873-878 [doi]
• miRNA-Disease Association Prediction based on Heterogeneous Graph Transformer with Multi-view similarity and Random Auto-encoderYinbo Liu, Xiaodi Yan, Jun Li, Xinxin Ren, Qi Wu, Gang-Ao Wang, Yuqing Chen, Xiaolei Zhu 0001. 885-888 [doi]
• Multi-view Brain Networks Construction for Alzheimer's Disease DiagnosisYuefeng Ma, Tengfei Zhang, Zeqi Wu, Xiaochen Mu, Xun Liang, Lanzhen Guo. 889-892 [doi]
• Ultra-fast and High-quality Mapping of Error-prone Long ReadsBoyuan Sun 0005. 920-925 [doi]
• Predicting the effect of genes on longevity with novel hierarchical dependency-constrained tree augmented naïve Bayes classifiersCen Wan. 926-929 [doi]
• TGAAL: Combining Transformer-based GAN and active learning to identify the coding potential of sORFs in plant lncRNAsYu Wang, Jun Meng, Shihao Xia, Haibin Li, Zhaowei Wang 0005, Yushi Luan. 936-939 [doi]
• Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI DataXulong Wang, Yu Zhang 0128, Menghui Zhou, Tong Liu, Jun Qi 0001, Po Yang 0001. 940-943 [doi]
• AF Adapter: Continual Pretraining for Building Chinese Biomedical Language ModelYongyu Yan, Kui Xue, Xiaoming Shi, Qi Ye, JingPing Liu, Tong Ruan. 953-957 [doi]
• KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction PredictionPeiliang Zhang, Yuanjie Liu, Zhishu Shen. 974-977 [doi]
• TNFIPs-Net: A deep learning model based on multi-feature fusion for prediction of TNF-α inducing epitopesShengli Zhang 0002, Yunyun Liang, Yujie Xu, Yuanyuan Jing. 978-983 [doi]
• An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional NetworksRuizhe Zhang 0014, Dandan Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen. 984-987 [doi]
• Class-specific Prompts in Vision Transformer for Continual Learning of New DiseasesDefeng Zhao, Zejun Ye, Wei-Shi Zheng 0001, Ruixuan Wang. 994-999 [doi]
• Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging GeneticsHouliang Zhou, Yu Zhang 0009, Lifang He 0001, Li Shen, Brian Y. Chen. 1004-1007 [doi]
• A Hybrid Outbreak Detection using Ontology-based Data Collection from Social MediaGhazaleh Babanejaddehaki, Aijun An, Heidar Davoudi. 1022-1029 [doi]
• LUR: An Online Learning Model for EEG Emotion RecognitionGang Cao, Liying Yang, Qian Zhang 0074, Jianing Xi, Chengchuang Tang, Yang Tian. 1038-1045 [doi]
• Rethinking Low-Dose CT Synthesis: Degrading Normal-Dose CT from Origin for Pairwise Training of CT DenoiserLianying Chao, Taotao Zhang, Yanli Wang, Wenqi Shan, Qiang Li 0018, Zhiwei Wang. 1046-1053 [doi]
• A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity PredictionSiyang Chen, Lianlian Wu, Yong Xu 0009, KunHong Liu 0001, Song He, Xiaochen Bo. 1054-1059 [doi]
• Calibrated Uncertainty-Guided Multi-task Framework for Medical Image SegmentationYu Chen, Chunwei Wu, Shasha Liu, Guitao Cao. 1060-1067 [doi]
• CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection ModelXun Deng, Lun Hu, Zhu-Hong You, Peng-Wei Hu. 1068-1073 [doi]
• TSM: Three-Stream Mix For Unsupervised Medical Image RegistrationZhen Gu, Daoqiang Zhang, Fang Chen 0007, Peng Wan 0004, Lingyu Chen. 1088-1095 [doi]
• Entity Relation Aware Graph Neural Ranking for Biomedical Information RetrievalYichen He, Xiaofeng Liu 0014, Jinlong Hu, Shoubin Dong. 1118-1124 [doi]
• A Tongue Feature Extraction Method Based on a Sublingual Vein SegmentationYulong Hu, Dehui Qiu, Xiaohua Wan, Juan Zhang, Xiaotong Wang, Fa Zhang 0001, Bin Hu 0001. 1138-1143 [doi]
• Location-Aware Transformer Network for Few-Shot Medical Image SegmentationWendong Huang, Bin Xiao 0002, Jinwu Hu, Xiuli Bi. 1150-1157 [doi]
• MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics DataZongli Jiang, Hongwei Ren, Ziwei Yang 0002, Jinli Zhang, Zheng Chen 0012. 1182-1187 [doi]
• Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scansQiangguo Jin, Hui Cui 0002, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su. 1188-1193 [doi]
• M2-DIA: Enhancing Diagnostic Capabilities in Imbalanced Disease Data using Multimodal Diagnostic Ensemble FrameworkChan-Yang Ju, Ji-Sung Park, Dong-Ho Lee. 1194-1201 [doi]
• Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report GenerationBeichen Kang, Yao Zhang, Yun Xiong, Xing Jia, Jianbo Jiao, Ji Li. 1202-1209 [doi]
• Enhancing Clinical Outcome Predictions through Auxiliary Loss and Sentence-Level Self-AttentionSanghoon Lee, Gwanghoon Jang, Chanhwi Kim, Se-Jeong Park, Kiwoong Yoo, Jihye Kim 0004, Sunkyu Kim, Jaewoo Kang. 1210-1217 [doi]
• Learning RNA sequence patterns to interpretably identify m6A modification sitesGuodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu 0001, Lun Hu. 1248-1253 [doi]
• TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival AnalysisXiaoyu Li, Wenwen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang. 1254-1259 [doi]
• Multimodal attention-based variational autoencoder for clinical risk predictionXiaoyu Li, Taosheng Xu, Jinyu Chen, Jun Wan, Wenwen Min. 1260-1265 [doi]
• MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy DiagnosisJiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu. 1266-1271 [doi]
• Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative TrainingWenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu 0001, Haixing Dai, Sheng Li 0001, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu 0001, Xiang Li 0001, Hongmin Cai. 1294-1299 [doi]
• MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic FeaturesMingxin Liu, Yunzan Liu, Hui Cui 0002, Chunquan Li 0002, Jiquan Ma. 1306-1312 [doi]
• Simultaneous Super-Resolution and Denoising on MRI via Conditional Stochastic Normalizing FlowZhenhong Liu, Xingce Wang, Zhongke Wu, Yi-Cheng Zhu, Alejandro F. Frangi. 1313-1318 [doi]
• Spinal Lesions Classification and Localization with ACAT-Net from X-ray ImagesHongzhi Liu 0002, Xiaoli Mai, Junyang Han, Shiyu Zhu, Jiacheng Nie, Weixuan Wan, Pinzheng Zhang, Shijie Wang, Wenxue Yu, Xiaoying Tang, Cheng Xue, Chunfeng Yang, Qianjin Feng, Yang Chen 0008. 1319-1324 [doi]
• Personalized federated adaptive regularization for heterogeneous medical image classification: COVID-19 CT resultsYuan Liu, Zhe Qu, Shu Wang, Tao Sheng, Xiaoqing Yu, Jian-xin Wang 0001. 1331-1336 [doi]
• Improving Medical Image Denoising via a Lightweight Plug-and-play ModuleLei Ma, Hulin Kuang, Jin Liu 0012, Chengchao Shen, Jianxin Wang 0001. 1350-1355 [doi]
• FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease PredictionJunbin Mao, Hanhe Lin, Xu Tian, Yi Pan 0001, Jin Liu. 1356-1361 [doi]
• BFP-Net: Boundary Feature Pyramid for Medical Image SegmentationShiquan Min, Xiang Zhang, Shunfang Wang. 1362-1367 [doi]
• CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology ImagesLiangrui Pan, Keqin Li 0001, Wenjuan Liu, Liwen Xu, Zhichao Feng, Shaoliang Peng. 1374-1379 [doi]
• Noninvasive diagnosis of hepatocellular carcinoma by integrating the genetic, epigenetic and fragmentation features of cell-free DNAsXiaoqing Peng, Junjie You, Wanxin Cui, Mengxi Zou. 1380-1385 [doi]
• DrugProtKGE: Weakly Supervised Knowledge Graph Embedding for Highly-Effective Drug-Protein Interaction RepresentationYanlong Qiu, Siqi Wang 0001, Xi Yang 0020, Xinyuan Qiu, Chengkun Wu, Yingbo Cui, Canqun Yang. 1386-1393 [doi]
• DILM-ICD: A Deep Iterative Learning Model for Automatic ICD CodingWeiyan Qiu, Yifan Wu, Yiming Li, Kunying Niu, Min Zeng, Min Li. 1394-1399 [doi]
• Explainable Depression Recognition from EEG Signals via Graph Convolutional NetworkJian Shen 0004, Jiaying Chen, Yu Ma, Zheyu Cao, Yanan Zhang, Bin Hu 0001. 1406-1412 [doi]
• START: Automatic Sleep Staging with Attention-based Cross-modal Learning TransformerJingpeng Sun, Rongxiao Wang, Gangming Zhao, Chen Chen 0036, Yixiao Qu, Jinpeng Li, Xiyuan Hu, Yizhou Yu. 1421-1428 [doi]
• Joint Biomedical Entity and Relation Extraction with Unified Interaction MapsHaixin Tan, Zhihao Yang, Zeyuan Ding, Zhijun Wang, Ling Luo 0001, Lei Wang 0085, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang. 1437-1442 [doi]
• DFNodule: a Novel Deformable Faster R-CNN for Lung Nodule DetectionGuowei Tao, Fu Zhou, Feng Liu, Hao Gui, Fei Luo 0004, Wen Cai Huang, Jia Ni Zou, Yi-Ping Phoebe Chen. 1459-1466 [doi]
• Stress recognition based on graph structure representation of facial StO2Jiaxiu Wang, Xinyu Liu 0007, Yingjuan Jia, Tong Chen 0008, Jingru Huang, Zheyuan Zhang. 1481-1488 [doi]
• Using Knowledge graph and Quantum Computing to Optimize the Comprehensive Mental Health Adaptive Test SystemXinhang Wang, Guangdi Liu, Le Zhang 0004. 1489-1496 [doi]
• Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image SegmentationChenhui Wang, Hulin Kuang, Jin Liu 0012, Junjian Li, Hailin Yue, Jianxin Wang 0001. 1497-1502 [doi]
• Leveraging Frequency Domain Learning in 3D Vessel SegmentationXinyuan Wang 0009, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu. 1503-1508 [doi]
• A Morphology Focused Cell Detection Model for Histopathology ImagesZhe Wang 0007, Fangyue Wei, Shuyu Guo, Xiaoting Che, Tian Bai 0002. 1517-1522 [doi]
• Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation MapsYaonai Wei, Tianyang Zhong, Songyao Zhang, Xiao Li, Tuo Zhang, Lin Zhao, Zhengliang Liu, Muheng Shang, Tianming Liu 0001, Han Zhang, Chong Ma, Lei Du, Junwei Han. 1523-1530 [doi]
• Group Attention-based Multi-wave Graph Learning for Dementia DiagnosisJiaxin Wei, Bin Jiao, Xu Tian, Lu Shen, Jin Liu. 1531-1536 [doi]
• Auto-Augmentation Contrastive Learning for Wearable-based Human Activity RecognitionQingyu Wu, Jianfei Shen, Feiyi Fan, Yang Gu, Chenyang Xu, Yiqiang Chen. 1537-1544 [doi]
• Exploring Brain Connectivity with Spatial-Temporal Graph Neural Networks for Improved EEG Seizure AnalysisJunfeng Xie, Dafang Zhang 0001, Wei Li. 1561-1566 [doi]
• A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis AssessmentHao Xie, Zixun Huang, Frank H. F. Leung, Yakun Ju, Yong-Ping Zheng, Sai-Ho Ling. 1567-1574 [doi]
• Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic ImagesZhengyang Xu, XiangLong Du, Yuxin Kang, Hong Lv, Ming Li, Wentao Yang, Lei Cui 0004, Hansheng Li, Yaqiong Xing, Jun Feng 0003, Lin Yang 0002. 1588-1595 [doi]
• Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic RoutingMingwang Xu, Wei Wang 0169, Kuanquan Wang, Suyu Dong, Pengzhong Sun, Jinwei Sun, Gongning Luo. 1596-1603 [doi]
• A novel few-shot learning approach for the classification of histological images of liver tumorsBo Xu 0009, Qirui Wang, Longjiao Li, Jinqiao Yang, Hongfei Lin, Feng Ding 0004. 1604-1609 [doi]
• Histopathological Cancer Detection with Topological SignaturesAnkur Yadav, Faisal Ahmed, Ovidiu Daescu, Reyhan Gedik, Baris Coskunuzer. 1610-1619 [doi]
• A smart chicken farming platform for chicken behavior identification and feed residual estimationJiezhi Yang, Jun Gao, Yanyan Li, Antong Zhou, Chaochao Qu, Kuo Zhao, Linjing Wei, Le Zhang 0004, Zirong Liu, Ning Jiang, Wenjing Tao, Kangzhe Ma, Quan Lu, Huiru Zheng. 1627-1634 [doi]
• Semi-supervised Medical Image Segmentation via Feature-perturbed ConsistencyYang Yang, Ruixuan Wang, Tong Zhang, Jingyong Su. 1635-1642 [doi]
• 3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH GenotypingJingxiao Yao, Jin Liu 0012, Jianhong Cheng, Hulin Kuang, Jian-xin Wang 0001. 1649-1654 [doi]
• A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal CancerHailin Yue, Jin Liu 0012, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang 0001. 1670-1675 [doi]
• Objects Affect Where We Look: Improving Human Attention Prediction Using Extra DataShuo Zhang, Huike Guo. 1676-1681 [doi]
• AVS-Net: Attention-based Variable Splitting Network for P-MRI AccelerationYue Zhang, Jing Li, Zigan Wang, Jinming Duan 0001, Jinliang Li. 1682-1689 [doi]
• E-HMFNet: A Knowledge-Enhanced Hierarchical Molecular Representation Fusion Network for Drug RecommendationJunjie Zhang, Xuan Zang, Hao Chen, Buzhou Tang. 1690-1695 [doi]
• Integrating Automated Knowledge Extraction with Large Language Models for Explainable Medical Decision-MakingHaodi Zhang, Jiahong Li, Yichi Wang, Yuanfeng Song. 1710-1717 [doi]
• A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT DiagnosisLin Zhang, Yun Ren, Fang Yuan, Yangxin Zhu, Shikui Tu, Yucai Chen, Lei Xu 0001. 1718-1723 [doi]
• Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal FusionLiang Zhao 0005, Chaoran Jia, Yu Shao, Zhanxin Gang, Rui Lin, Ruixin Ma. 1740-1745 [doi]
• Soft Tissue Sarcoma Segmentation Network Based on Self-supervised LearningLiang Zhao, Yu Shao, Zhanxin Gang, Chaoran Jia, Yihan Chen, Yi Yang 0006. 1746-1751 [doi]
• A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingKeliang Zhao, Jovial Niyogisubizo, Linxia Xiao, Yi Pan 0001, Dongqing Wei, Didi Rosiyadi, Yanjie Wei. 1752-1757 [doi]
• Accurately Identifying Muscle-Invasive Bladder Cancer from MRI via Weakly Supervised LearningFudan Zheng, Yuedong Yang, Tianxin Lin, Shaoxu Wu, Yong Li, Yutong Lu, Ying Song, Zhiguang Chen 0001, Huiying Zhao. 1770-1777 [doi]
• DUALWISE-MAR: Dual-domain Multi-view Weakly supervised Segmentation Network for CBCT Metal Artifact ReductionXinyun Zhong, Zhan Wu, Yang Yang, Tianling Lyu, Wenxue Yu, Yan-xi, Yang Chen. 1778-1783 [doi]
• RHViT: A Robust Hierarchical Transformer for 3D Multimodal Brain Tumor Segmentation Using Biased Masked Image Modeling Pre-trainingQian Zhou, Hua Zou, Fei Luo 0004, Yishi Qiu. 1784-1791 [doi]
• A Dual-View Fusion Network for Automatic Spinal Keypoint Detection in Biplane X-ray ImagesDandan Zhou, Lijun Guo, Rong Zhang 0007, Xiuchao He, Qiang Wang, Jianhua Wang. 1792-1797 [doi]
• Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging GeneticsRong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang 0009, Lifang He 0001. 1806-1811 [doi]
• Detection of Symptoms of Depression Using Data From the iPhone and Apple WatchSamir Akre, Brunilda Balliu, Zachary D. Cohen, Jonathan Flint, Amelia Welborn, Alex A. T. Bui, Tomislav D. Zbozinek, Michelle G. Craske. 1818-1823 [doi]
• Enhancing Classification Tasks through Domain Adaptation StrategiesAhmad Chaddad, Yihang Wu. 1832-1835 [doi]
• PLFormer: Prompt Learning for Early Warning of Unplanned Extubation in ICUYang Chen, Tian He, Xu Gao, Hong Cheng, Ling Wang 0013. 1846-1849 [doi]
• What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysisWeihao Dai, Chaolu Feng, Shuaizheng Chen, Wei Liu 0005, Jinzhu Yang, Dazhe Zhao. 1860-1863 [doi]
• Towards Modeling Human Biorhythms Using Non-Invasive ApproachesKapotaksha Das, John Elson, Mohamed Abouelenien, Ali Hassani 0007, Mihai Burzo, Clay Maranville. 1864-1869 [doi]
• Privacy Risks Analysis and Mitigation in Federated Learning for Medical ImagesBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu 0001. 1870-1873 [doi]
• Replay with Stochastic Neural Transformation for Online Continual EEG ClassificationTiehang Duan, Zhenyi Wang 0001, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh. 1874-1879 [doi]
• A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated LearningAhmed Elhussein, Jude Savarraj, E. Sander Connolly, Murad Megjhani, Soon Bin Kwon, Angela Velazquez, Daniel Nametz, David J. Roh, Jan Claassen, Miriam Weiss, Sachin Agarwal 0005, Huimahn A. Choi, Gerrit A. Schubert, Soojin Park, Gamze Gürsoy. 1886-1889 [doi]
• High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network ApproachXiaotong Fu, Xiangyu Meng, Jing Zhou, Ying Ji. 1905-1910 [doi]
• Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement LearningLeonardo Furia, Matteo Tortora, Paolo Soda, Rosa Sicilia. 1917-1920 [doi]
• Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning FrameworkZhanxin Gang, Chaoran Jia, Chenhua Guo, Peng Li, Jing Gao, Liang Zhao. 1921-1924 [doi]
• Emotion Recognition based on Physiological Signals Multi-head Attention Contrastive LearningYunfei Guo, Tao Zhang, Wu Huang. 1929-1934 [doi]
• Adaptive Bayesian Meta-Learning for EEG Signal ClassificationXin Guo, Jianping Zhu, Liang Zhang 0031, Bo Jin 0001, Xiaopeng Wei. 1935-1940 [doi]
• Prostate MRI Super-Resolution using Discrete Residual Diffusion ModelZhitao Han, Wenhui Huang. 1947-1950 [doi]
• Specific-Modal Spatial Guidance and Feature Enhancement for Multi-modal Brain Tumor SegmentationJunyang Han, Cheng Xue, Hongzhi Liu 0002, Shiyu Zhu, Jiacheng Nie, Weixuan Wan, Chunfeng Yang, Wenxue Yu, Xiaoying Tang, Yang Chen 0008, Shijie Wang, Pinzheng Zhang, Jean-Louis Coatrieux. 1951-1956 [doi]
• A Weak Supervision-based Robust Pretraining Method for Medical Visual Question AnsweringShuning He, Haiwei Pan, Kejia Zhang 0001, Cheng Gong, Zhe Li. 1957-1960 [doi]
• Biomedical Event Detection Based on Domain Knowledge Injection and Model Dual Channel Fine-tuningXinyu He, Xue Han, Shixin Li, Yonggong Ren. 1961-1964 [doi]
• Polyp2Former: Boundary Guided Network Based on Transformer for Polyp SegmentationXiaoshuang Huang, Jinze Huang, Shuo Wang, Yaoguang Wei, Dong An 0001, JinCun Liu. 1971-1976 [doi]
• Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype ClassificationSujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu 0003, Shiping Wang, Jagath C. Rajapakse. 1983-1988 [doi]
• An Optimized-Skeleton-Based Parkinsonian Gait Auxiliary Diagnosis Method with Both Monitoring Indicators and Assisted RatingsGaoqi Li, Chi-Man Pun, Haolun Li, Jian Xiong 0005, Feng Xu 0005, Hao Gao 0005. 2011-2016 [doi]
• Joint Optic Disc and Cup Segmentation with Parallel Cooperative Diffusion ModelWenqing Li, Wenhui Huang 0002. 2017-2020 [doi]
• Stain Normalization and Augmentation in Frequency Space for Histology AnalysisYingfan Li, Huaiji Zhou, Na Liu, Yiqing Shen 0003. 2031-2035 [doi]
• Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph EncoderXiaobo Li 0007, Yi-Jia Zhang 0001, Xiaodi Hou, Fanjun Meng, Hongfei Lin. 2040-2043 [doi]
• PnP-AE: A Plug-and-Play Module for Volumetric Medical Image SegmentationQiankun Li, Xiaolong Huang, Bo Fang, Yani Zhang, Yongyong Chen, Junxin Chen. 2059-2064 [doi]
• UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCan Li, Sheng Shao, Junyi Qu, Shuchao Pang, Mehmet A. Orgun. 2081-2084 [doi]
• FedCCE: A class-level contribution explainable federated learning based on comparable prototypes collaboration for multi-site medical image classificationBo Lin, Jing Wang, Yunfei Dou, Yuquan Zhang, Wei Yue, Gang Yu, Jianwei Yin. 2085-2090 [doi]
• A Control Chart Method for Simultaneously Monitoring the Average Level and Stability of Surgical QualityRuoyu Liu, Xin Lai 0003, Jiayin Wang, Paul B. S. Lai, Ka Chun Chong. 2091-2096 [doi]
• Long Video Micro-expression Spotting Based On OCC TheoryBingtong Liu, Zheyuan Zhang, Ju Zhou, Hanpu Wang, Tong Chen 0008. 2101-2106 [doi]
• A Diffusion Model-Based Joint Dual-Task Network for Low-Quality Retinal Image Enhancement and Vessel SegmentationFengting Liu, Wenhui Huang 0002. 2107-2110 [doi]
• Joint Biomedical Entity and Relation Extraction Based on Triple Region VerticesYuqi Liu, Zhihao Yang, Jinzhong Ning, Zhijun Wang, Ling Luo 0001, Lei Wang 0085, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang. 2117-2120 [doi]
• FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive RepresentationChang Liu 0046, Yong Luo 0002, Yongchao Xu, Bo Du 0001. 2125-2128 [doi]
• Semantic-guided Unknown-aware Rare Disease Diagnosis SystemYiwen Luo, Yixuan Yuan. 2133-2136 [doi]
• An efficient domain adaptation framework for cross-subject EEG classificationTian-jian Luo. 2137-2142 [doi]
• Predicting Tumor Mutation Burden of Lung Cancer Based on Residual NetworkXiangfu Meng, Chunlin Yu, Xiaoyan Zhang 0005. 2149-2152 [doi]
• DCA: Densely Cross-scale Attention Network for Anatomically-plausible Medical Image SegmentationYang Ning, Dawei Wang, Tianming Tan, Caiming Zhang 0001. 2153-2158 [doi]
• Bézier Curves Meet Deep Learning: A Novel Pretraining Method for Improved and Generalized Retinal Vessel SegmentationLuyu Niu, Xiaojuan Chen, Song Guo. 2159-2164 [doi]
• AiA-UNet: Attention in Attention for Medical Image SegmentationJianfeng Qin, Xinwei He 0005, Jiakun Yu, Wen Zhang, Jinhai Xiang, Lulu Wu. 2179-2182 [doi]
• SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug ReactionsYunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu 0009, Haifeng Liu, Hongfei Lin. 2183-2186 [doi]
• Knowledge-guided Network Pruning for EEG-based Emotion RecognitionWenjie Rao, Sheng-hua Zhong, Zhi Zhang, Yan Liu 0004. 2187-2190 [doi]
• Simulation of ECG Using a Rabbit Cardiac Conduction Model with Dual-Pathway Atrioventricular NodeMaxim Ryzhii, Elena Ryzhii. 2197-2200 [doi]
• Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG DataFederica Proietto Salanitri, Giovanni Bellitto, Raffaele Mineo, Matteo Pennisi, Amelia Sorrenti, Salvatore Calcagno, Daniela Giordano, Simone Palazzo, Concetto Spampinato. 2201-2206 [doi]
• Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic DataJessica Sena, Sabyasachi Bandyopadhyay, Mohammad Tahsin Mostafiz, Andrea Davidson, Ziyuan Guan, Jesimon Barreto, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, William Robson Schwartz, Parisa Rashidi. 2207-2212 [doi]
• GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge IntegrationXuhao Shan, Xinyang Li, Ruiquan Ge, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Qingying Xiao, Xiang Wan, Changmiao Wang. 2217-2222 [doi]
• Data Augmentation and Pseudo-sequence of fNIRS for Depression RecognitionKai Shao, Yixue Hao, Long Hu, Xiaofen Zong, Min Chen 0003. 2223-2226 [doi]
• EEG based Parkinson Detection through Supervised Information Enhanced Contrastive LearningJian Song, Xiang Li 0064, Wenjing Jiang, Chunxiao Wang, Zhigang Zhao, Jialiang Lv, Bin Hu. 2239-2244 [doi]
• Mutual Graph Learning Network and Diffusion Probabilistic Model-based Medical Image SegmentationHuaqiang Su, Haijun Lei, Guoliang Chen 0005, Xin Chen 0025, Baiying Lei. 2245-2248 [doi]
• Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder RecognitionXiaofang Sun, Wei He 0020, Yonghui Xu, Yali Jiang, Xiangwei Zheng 0001, Yongqing Zheng, Wei Guo, LiZhen Cui. 2249-2254 [doi]
• HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality ControlYuxiang Sun, Kai Liu, Yiqing Shen 0003, Xiaodan Han, Jing Ke. 2255-2258 [doi]
• Classifying Anxiety and Depression through LLMs Virtual Interactions: A Case Study with ChatGPTYongfeng Tao, Minqiang Yang, Hao Shen, Zhichao Yang 0014, Ziru Weng, Bin Hu 0001. 2259-2264 [doi]
• Spatial-Temporal Fusion Pseudo-Labeling Based Informative Frame Classification for Confocal Laser Endomicroscopy VideoZhaohui Wang, Xiangwei Zheng 0001, Dejian Su, Mingzhe Zhang. 2269-2272 [doi]
• LDE-UNet: A Novel Model for Rapid COVID-19 Diagnosis via CT Image SegmentationQisong Wang, JiaRou Wu, Yingzhuo Wang, HuiLi Qu, Shanling Nie, Hai Yang 0002. 2273-2276 [doi]
• Deep-USIpred: identifying substrates of ubiquitin protein ligases E3 and deubiquitinases with pretrained protein embedding and bayesian neural networkJia Wang, Gui-Qing Pan, Jian-qiang Li, Xue-qun Shang, Zhu-Hong You, Yu-An Huang. 2277-2280 [doi]
• Low-Resource Efficient Multi-Stage Tuning Strategy for Biomedical Question Answering TaskBinrui Wang, Yongping Du, Xingnan Jin, Rui Yan, Qi Zhang. 2281-2284 [doi]
• Interactive Segmentation for Pathological Images with Similarity-based PropagationJiawei Wang, Jinhua Liu, Lin Chen, Guangshun Wei, Yuanfeng Zhou. 2290-2293 [doi]
• MKFN: Multimodal Knowledge Fusion Network for Automatic ICD CodingShilong Wang, Hongfei Lin, Yijia Zhang 0001, Xiaobo Li 0007, Wen Qu. 2294-2297 [doi]
• Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus ImagesQijie Wei, Jingyuan Yang 0004, Bo Wang 0011, Jinrui Wang, Jianchun Zhao, Xinyu Zhao, Sheng Yang, Niranchana Manivannan, Youxin Chen, Dayong Ding, Jing Zhou, Xirong Li 0001. 2298-2303 [doi]
• Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive LearningDexuan Xu, Yanyuan Chen, Jiayu Zhang, Yiwei Lou, Hanpin Wang, Jing He, Yu Huang 0004. 2320-2325 [doi]
• Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography ImagesWeijin Xu, Huihua Yang, Tao Tan, Wentao Liu 0004, Feng Gao, Yiming Deng, Xipeng Pan, Ruisheng Su. 2326-2331 [doi]
• Integrated Local and Global Information for Health Risk Prediction ModelTao You, Qiaodong Dang, Qing Li. 2332-2337 [doi]
• Trans-UNeter: A new Decoder of TransUNet for Medical Image SegmentationJiakun Yu, Xinwei He 0005, Jianfeng Qin, Wen Zhang, Jinhai Xiang, Weiming Zhao. 2338-2341 [doi]
• Implicit Feature Augmentation with Feature Transfer For Class-Imbalanced Medical Image ClassificationMei Yu, Hao Zheng, Xuewei Li 0001, Jie Gao 0008, Xuzhou Fu, Zhiqiang Liu 0002, Ruiguo Yu. 2342-2345 [doi]
• Conservative Q-Learning for Mechanical Ventilation Treatment Using Diagnose Transformer-EncoderYuyu Yuan, Jinsheng Shi, Jincui Yang, Chenlong Li, Yuang Cai, Baoyu Tang. 2346-2351 [doi]
• DD-UNet: Densely Dilated U-Net for Curvilinear Structure Segmentation in Fundus ImageYindong Zhang, Jie Chen, Li Wang, Miaohong Chen, Guoming Zhang, JianQiang Li. 2374-2379 [doi]
• ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency AlignmentZixun Zhang, Yuncheng Jiang, Jun Wei 0006, Hannah Cui, Zhen Li 0026. 2385-2388 [doi]
• Advancing Pancreas Segmentation through the Patch-Adjust Fusion FrameworkYong Zhang, Yi Wang, Bin Fang 0001. 2389-2394 [doi]
• Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node MetastasisShichuan Zhang, Sunyi Zheng, Zhongyi Shui, Honglin Li 0001, Lin Yang 0012. 2395-2400 [doi]
• CCBox: Improving Box-supervised Nuclei Segmentation with Consistency ConstraintChaojun Zhang, Yixiong Liang, Qing Liu 0003. 2412-2415 [doi]
• Confidence-Guided Weakly-Supervised Visual Evidence Discovering for Trustworthy Glaucoma DiagnosisRongchang Zhao, Siyu Chen, Jin Liu, Jian Zhang 0048. 2416-2420 [doi]
• Multi-source unsupervised domain-adaptation for automatic sleep stagingYangxin Zhu, Shikui Tu, Lin Zhang, Lei Xu 0001. 2437-2440 [doi]
• Progressive Fourier Transform (PFT): Enhancing Time-Frequency Representation of EEG signals for Stress and Seizure DetectionNisreen Said Amer, Samir Brahim Belhaouari, Halima Bensmail. 2441-2448 [doi]
• Information Geometry Approach to Analyzing Simulated EEG Signals of Alzheimer's Disease Patients and Healthy Control SubjectsJia-Chen Hua, Eun-Jin Kim, Fei He. 2493-2500 [doi]
• Enhancing Artifact Removal From Scalp EEG Using State-Wise Deep Convolutional NetworkXuepeng Huang, Zexuan Hao, Yu Pan, Weibei Dou. 2501-2507 [doi]
• High-performance Deep Neural Network Pretrained with Contrastive Learning for Asynchronous High-frequency c-VEP DetectionEn Lai, Ximing Mai, Jianjun Meng. 2515-2521 [doi]
• Neonatal seizure detection combined deep network and meta-learningXueni Li, Jie Liu, Weiwei Nie, Qi Yuan. 2522-2526 [doi]
• Dysfunctional brain dynamics in Subjects with major depression: An EEG microstate spectral analysisJianxiu Li, Yanrong Hao, Hongwei Xu. 2527 [doi]
• Abnormal cortical functional network and microstates alterations in depression: insights from effective connectivity and EEG microstatesJianxiu Li, Yanrong Hao, Hongwei Xu. 2535-2542 [doi]
• Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression RecognitionLiangliang Liu, Jing Zhu, Shuting Sun, Xiaowei Li 0005, Guanru Wang, Bin Hu 0001. 2543-2550 [doi]
• Automatic Sleep Stage Classification by CNN-Transformer-LSTM using single-channel EEG signalDuc Thien Pham, Roman Moucek. 2559-2563 [doi]
• Diagnosis of Schizophrenia from EEG signals Using ML AlgorithmsTariq Qayyum, Zouheir Trabelsi, Assadullah Tariq, Abdelkader Nasreddine Belkacem, Mohamed Adel Serhani. 2564-2570 [doi]
• EEG-Based Depression Recognition Using Convolutional Neural Network with FFT and EMDJing Zhu, Xiaowei Li, Pengfei Hou, Bin Hu 0001, Xin Zhang. 2601-2608 [doi]
• Deep Learning Approach for Automated Gas Chromatography Peak Detection to Account for Co-elutionLoc Cao, Kevin R. Ward, Ruchi Sharma, Xudong Fan, Sardar Ansari. 2617-2623 [doi]
• Optimization of synthetic oscillatory biological networks through Reinforcement LearningLeonardo Giannantoni, Alessandro Savino, Stefano Di Carlo. 2624-2631 [doi]
• SDATNet: Self-Distillation Adversarial Training Network for AD classificationTianyuan Song, Gongpeng Cao, Xiong Xiong, Guixia Kang. 2671-2678 [doi]
• A Multi-Frame Rate Network with Attention Mechanism for Depression Severity EstimationRuibin Wang, Jing Guo, Jiashun Wang, Lang He, Yun Yang 0003. 2679-2686 [doi]
• A Doctors Behavior Aware and Domain Knowledge Driven Model for Medical Report GenerationHan Wang, Jianwei Niu 0002, Xuefeng Liu 0001, Yong Wang. 2687-2694 [doi]
• Predicting Lymph Node Metastasis of Colorectal Cancer in CT Scans Using Attention-Based Multiple Instance LearningMin Xie, Yi Zhang 0001, Xinyang Li, Yiji Mao, Xingyu Zou, Haixian Zhang. 2695-2701 [doi]
• Investigating Consistency Constraints in Heterogeneous Multi-task Learning for Medical Image ProcessingJingyun Yang, Yicong Li 0003, Yang Tan, Heng Liu, Yang Li 0104. 2717-2724 [doi]
• In silico strategy to model LMP1 of Epstein-Barr virus proteinDayang-Sharyati D. A. Salam, Siaw San Hwang, Feng Wang 0005, Bee Theng Lau, Xavier Chee Wezen. 2741-2747 [doi]
• Clinical Assessment of Pneumocystosis with MIMIC DataHuanfei Wang, Qian Zhu, Jian Pei. 2751-2753 [doi]
• Prediction of Drug Targets based on In Vitro Activity Profiles Toward Drug Repurposing for Rare DiseasesBinghan Xue, Ruili Huang, Qian Zhu 0003, Yanji Xu. 2761-2763 [doi]
• idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning frameworkYahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu 0001. 2769-2776 [doi]
• LncRNA Subcellular Localization Signals - Are the Two Ends Equal? A Machine Learning Analysis Across Multiple Cell LinesWeijun Yi, Jason Rafe Miller, Gangqing Hu, Donald A. Adjeroh. 2783-2789 [doi]
• Stratification of metastatic melanoma patients based on mutational signaturesCaterina Alfano, Lorenzo Farina, Manuela Petti. 2798-2802 [doi]
• A novel Network Science Algorithm for Improving Triage of PatientsPietro Hiram Guzzi, Annamaria Defilippo, Pierangelo Veltri. 2803-2808 [doi]
• A Network Analysis Approach for the Classification of Psychiatric Disorders Using Multi-Modal DataRama Krishna Thelagathoti, Hesham H. Ali. 2831-2836 [doi]
• ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular FieldFahad Almuqhim, Fahad Saeed. 2837-2843 [doi]
• MoTIF: a Method for Trustworthy Dynamic Multimodal Learning on OmicsYuxing Lu, Rui Peng, Jinzhuo Wang, Bingheng Jiang. 2851-2858 [doi]
• A Machine Learning Approach for Predicting Microsatellite Instability using RNA-seqMiguel Simões, Tânia Pereira 0001, Francisco Silva 0002, José Manuel F. Machado, Hélder P. Oliveira. 2875-2882 [doi]
• DeepDualEPI: Predicting Promoter-Enhancer Interactions Based on DNA Sequence and Genomic SignalsTao Song 0001, Haonan Song, Zhiyi Pan, Yuan Gao, Qing Yang, Xingguang Wang. 2889-2895 [doi]
• MTr-Net:A multipath fusion network based on 2.5D for medical image segmentationFengyi Xia, Yanjun Peng, Jiao Wang, Xue Chen. 2896-2903 [doi]
• Adaptive Multi-modal Data Fusion Method for Dermatosis DiagnosisYaning Li, Xiaodong Yang 0005, Yiqiang Chen, Shubai Chen, Bixiao Zeng, Hong Cai. 2904-2911 [doi]
• Identification of risk genes and biological pathways influencing myopia via transcriptome association study and biomedical ontology methodsShizheng Qiu, Yadong Wang 0001, Ying Zhang, Yang Hu 0008. 2926-2931 [doi]
• Enhanced RNA Sequence Representation through Sequence Masking and Subsequence Consistency OptimizationYewei Shen, Zhiyuan Wang, Zongyu Li, Xinmeng Liu, Xuequn Shang 0001, Yongtian Wang. 2938-2944 [doi]
• Deep Learning Integration with Phenotypic Similarities and Heterogeneous Networks for Drug-Target Interaction PredictionYongtian Wang, Li Li, Yewei Shen, Yizhuo Zhang, Yuhe Zhang, Xuequn Shang 0001. 2945-2951 [doi]
• Prediction of Non-coding Driver Mutations Using Ensemble LearningSana Basharat, Ramal Hüseynov, Hüseyin Hilmi Kilinç, Burçak Otlu. 2960-2966 [doi]
• Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity LinkingQizhu Dai, Qin Lei, Jiang Zhong, Xue Li 0001, Chen Wang, Hong Yin, Rongzhen Li. 2967-2974 [doi]
• Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision SupportSeda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer. 2983-2989 [doi]
• Sparse Linear Centroid-Encoder: A Biomarker Selection tool for High Dimensional Biological DataTomojit Ghosh, Karim Karimov, Michael Kirby. 3012-3019 [doi]
• BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network AnalysisJinlong Hu, Yangmin Huang, Yi Zhuo, Shoubin Dong. 3020-3028 [doi]
• DDFormer: Dual-domain and Dual-aggregation Transformer for Multi-contrast MRI Super-ResolutionXiaoqian Huang, Pingping Zhang, Jiaxun Song, Qin Huang, Caixia Huang, Detian Huang. 3029-3036 [doi]
• Wavelet-aware Transformer Network for Multi-contrast Knee MRI Super-resolutionZexin Ji, Xiaoyan Kui, Shenghui Liao, Chengzhang Zhu, Yang Li, Yulan Dai, Beiji Zou 0001. 3037-3044 [doi]
• Mode Collapse Alleviation of Reinforcement Learning-based GANs in Drug DesignZongli Jiang, Zhenbo Wang, Jinli Zhang, Man Wu, Chen Li, Yoshihiro Yamanishi. 3045-3052 [doi]
• Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image SegmentationQin Lei, Rongzhen Li, Jiang Zhong, Chen Wang, Qizhu Dai. 3059-3066 [doi]
• Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 PandemicZhaohui Liang, Zhiyun Xue, Yang Feng, Sivaramakrishnan Rajaraman, Jimmy Xiangji Huang, Sameer K. Antani. 3067-3072 [doi]
• A Novel Mixed Effects Random Forest Approach for Predicting Dairy Cattle Methane EmissionsStephen Ross, Tianhai Yan, Haiying Wang 0001, Masoud Shirali, Huiru Zheng. 3125-3132 [doi]
• Towards Learning-based Surgical Planning of Glioma Resection via a Contrastively Constrained Siamese Neural NetworkWenqi Shan, Yingjie Guo, Lianying Chao, Haobo Zhang, Xudong Li, Xuan Wang, Qiang Li 0018, Zhiwei Wang. 3133-3140 [doi]
• Data analytics framework for sparse longitudinal structured biomedical dataIvaná Sixtova, Tomás Uher, Tomás Skopal. 3141-3148 [doi]
• Mr. Clean: An Ensemble of Data Cleaning Algorithms for Increased Data RetentionKenneth Smith 0003, Sharlee Climer. 3149-3156 [doi]
• Evaluating SHAP's Robustness in Precision Medicine: Effect of Filtering and NormalizationMasrur Sobhan, Ananda Mohan Mondal. 3157-3164 [doi]
• scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorizationJuan Wang, Na-Na Zhang, Junliang Shang, Jin-Xing Liu 0001. 3200-3207 [doi]
• MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease AssociationsXu Wang, Ling-Yun Dai, Jin-Xing Liu 0001, Shuang Wang. 3208-3211 [doi]
• FMRI-Guided Time-Symmetric Joint Model for Visual Attention PredictionYaonai Wei, Chong Ma, Tianyang Zhong, Lei Du, Tuo Zhang, Songyao Zhang, Li Yang, Tianming Liu 0001, Han Zhang, Zhibin He, Muheng Shang, Junwei Han. 3212-3217 [doi]
• Stature estimation using measurements of the skull in Chinese populationsWen Yang 0003, Guohua Geng, Dengwei Yan, Xiaoning Liu 0001, Mingquan Zhou. 3218-3225 [doi]
• A Practical Approach to Disease Risk Prediction: Focus on High-Risk Patients via Highest-k LossHongyi Yang, Rich Gonzalez, Brahmajee K. Nallamothu, Keith D. Aaronson, Kevin R. Ward, Alfred O. Hero III, Sardar Ansari. 3226-3133 [doi]
• miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data AnalysisMiray Unlu Yazici, Malik Yousef, J. S. Marron, Burcu Bakir-Gungor. 3234-3240 [doi]
• A Factor Graph Based Indoor Localization Approach for HealthcareShiyu Zheng, Ziheng Zhou, Qi Zhang, Shanshan Zhang, Ao Peng, Lingxiang Zheng, Huiru Zheng, Haiying Wang 0001. 3257-3264 [doi]
• Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression PredictionMenghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang 0128, Po Yang 0001. 3265-3272 [doi]
• Use Predictive Learning Model to Tackle Data Breaches in Healthcare DomainGiuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano. 3273-3279 [doi]
• Comparing Spike Sorting Algorithms on Simulated Extracellular Multi-Electrode Array RecordingsChenhao Bao, Adam Charles. 3280-3287 [doi]
• LC-SegDiff: Label-Constraint Diffusion Model for Medical Image SegmentationYonghan Lu, Chengjian Qiu, Qiaoying Teng, Jun Chen, Robert Free, Lu Liu, Yuqing Song 0001, Zhe Liu. 3305-3312 [doi]
• Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case StudyUmair Mohammad, Fahad Saeed. 3313-3320 [doi]
• *Aymar Cublier Martínez, Mario Muñoz Organero, David Moriña, Diana Gomez-Barroso, David E. Singh. 3362-3369 [doi]
• Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection ApproachKenneth Smith 0003, Michael Chan, John Brandenburg, Katarina A Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel A. Jacobson, Carlos Cruchaga, Sharlee Climer. 3370-3375 [doi]
• Hybrid heuristics: for the repetition-free longest common subsequence problem with index-geneQichen Wang 0005, Shu Zhang 0005. 3382-3389 [doi]
• Disease Diagnosis based on Multiple Semantic Relationship Prompt SubgraphJing Xie 0012, Xin Li 0012, Ye Yuan, Yi Guan, Xitong Guo, Yi Lin. 3398-3405 [doi]
• Efficient Evidence-Based Dialogue System for Medical DiagnosisLian Yan, Yi Guan, Haotian Wang 0007, Yi Lin, Jingchi Jiang. 3406-3413 [doi]
• Longest Order Conserved Repetition-free SubsequencesShu Zhang 0005, Qichen Wang 0005, Daming Zhu, Haitao Jiang. 3438-3445 [doi]
• Leveraging Random Forest and Graph-based Centralities to Predict Yeast Essential GenesSadiq Alinsaif. 3446-3452 [doi]
• A method for modelling and executing customized pipelines in serverless computingPietro Cinaglia, Mario Cannataro. 3453-3458 [doi]
• Network Community Detection in Connectomics Data using Graph TheoryLeandro González-Montesino, Darian H. Grass-Boada, Rubén Armañanzas. 3459-3465 [doi]
• Modelling a network as a spring system to estimate edge vulnerabilityPaola Lecca. 3466-3472 [doi]
• Adversarial U-Network for Predicting Blood Oxygen Level-Dependent Time SeriesCong Bao, Weihao Zheng, Qin Zhang, Songyu Yang, Zhijun Yao, Bin Hu 0001. 3499-3506 [doi]
• Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural NetworksYuxin Li, Xuequn Shang 0001, Yupei Zhang. 3521-3528 [doi]
• Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image SegmentationChuyun Shen, Wenhao Li, Ya Zhang 0002, Yanfeng Wang, Xiangfeng Wang. 3550-3557 [doi]
• Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image ClassificationPengzhong Sun, Wei Wang 0169, Xiangyu Li 0004, Suyu Dong, Shuo Li 0001, Kuanquan Wang, Gongning Luo. 3558-3565 [doi]
• DCNet: Densely Connected Neural Network with Global Context for Abnormalities Prediction in Bronchoscopy ImagesYing Wang, Yun Tie, Fenghui Liu, Lin Qi 0001, Ziqing Hu. 3566-3573 [doi]
• An End-to-End Multi-stage Network for Ultrasound Video Object SegmentationMei Wang, Shiyun Liu, Yijie Dong, Zhijie Xu, Qiao Pan, Dehua Chen, Jianwen Su. 3574-3581 [doi]
• MGFuseSeg: Attention-Guided Multi-Granularity Fusion for Medical Image SegmentationGuoping Xu, Xuesong Leng, Chang Li 0001, Xingwei He 0005, Xinglong Wu. 3587-3594 [doi]
• Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA GenesQiang Yang, Shuxin Zhang, Suyu Dong, Long Xu, Weihe Dong, Xiaokun Li, Pengzhong Sun, Feng Jiang 0001, Xianyu Zhang, Gongning Luo. 3595-3601 [doi]
• Network-based analysis to uncover drug-induced adverse side-effectsAlessio Funari, Paola Paci, Federica Conte. 3632-3637 [doi]
• Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment VisualizationsIsabella Grassucci, Alice Massacci, Eleonora Sperandio, Sara Baldinelli, Matteo Pallocca, Fabio Ticconi, Martina Betti. 3638-3641 [doi]
• The identification of microRNAs associated with immune response pathways modulated by ORF8 during SARS-CoV-2 infection: a preliminary in silico analysisSilvia Pauciullo, Anna Rosa Garbuglia, Verdiana Zulian. 3650-3653 [doi]
• A single-cell transcriptomic analysis of Neuroblastomas revealed a selective cGAS-STING pathway suppression in malignant cellsPasquale Sibilio, Stefano Di Giulio, Alessio Funari, Paola Paci, Veronica Veschi, Giuseppe Giannini. 3654-3661 [doi]
• SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient SurvivalWen Zhu, Yiwen Chen, Shanling Nie, Hai Yang 0002. 3662-3668 [doi]
• Understanding the Dynamics of the Proliferative Phase in Local Burn Wound Healing: A Computational ModelRoland V. Bumbuc, H. Ibrahim Korkmaz, P. P. M. van Zuijlen, Louis Vermeulen, Vivek M. Sheraton. 3676-3683 [doi]
• Modeling and Simulation of anakinra effects on severe COVID19 PatientsWilliam Cavallaro, Marzio Pennisi, Evdoxia Kyriazopoulou, Giulia Russo, Maria Cristina Jori, Evangelos J. Giamarellos-Bourboulis, Francesco Pappalardo 0001. 3684-3691 [doi]
• Predictive Modelling of Allergic Responses to Chemical Sensitizers: Distinguishing Skin and Respiratory ReactionsElena Crispino, Emanuela Corsini, Giulia Russo, Andrew Worth, Silvia Casati, Francesco Pappalardo 0001. 3692-3696 [doi]
• Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System SimulatorElena Crispino, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo 0001, Avisa Maleki, Valentina Di Salvatore. 3697-3701 [doi]
• Universal Immune System Simulator Analysis: The Impact of the Variable Approach Technique® on Enhancing Immune Defense Against infectious diseasesGiuseppe Cultrera, Agnese Maccarrone, Giulia Russo, Francesco Pappalardo 0001. 3702-3707 [doi]
• Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology PerspectiveAvisa Maleki, Alvaro Ras-Carmona, Elena Crispino, Valentina Di Salvatore, Giulia Russo, Pedro A. Reche, Francesco Pappalardo 0001. 3721-3724 [doi]
• Harnessing computational models to uncover the role of the immune system in tuberculosis treatmentEnrico Mastrostefano, Alessandro Ravoni, Elia Onofri, Paolo Tieri, Filippo Castiglione. 3725-3732 [doi]
• Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion ModelsAlessia Rondinella, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Elena Crispino, Francesco Pappalardo 0001, Sebastiano Battiato. 3733-3740 [doi]
• Machine Learning techniques application to predict the quality of life degree in breast cancer patientsValentina Di Salvatore, Giuseppe Catanuto, Giulia Russo, Francesco Pappalardo 0001. 3741-3747 [doi]
• OmniReprodubileCellAnalysis: a comprehensive toolbox for the analysis of cellular biology dataDora Tortarolo, Simone Pernice, Fabiana Clapero, Donatella Valdembri, Guido Serini, Federica Riccardo, Lidia Tarone, Chiara Enrico Bena, Carla Bosia, Sandro Gepiro Contaldo, Marco Beccuti, Marzio Pennisi, Francesca Cordero. 3748-3755 [doi]
• Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular CarcinomaYichen Guo, Marie Denis, Rency S. Varghese, Sidharth S. Jain, Mahlet G. Tadesse, Habtom W. Ressom. 3768-3774 [doi]
• Multi-scale convolutional neural networks for brain disease diagnosisZhongyi Hu 0001, Libin Gao, Yinsheng Tong, Xingjin Lu, Rui Li, Lei Xiao, Zuoyong Li. 3775-3781 [doi]
• Assessing Tree-Based Phenotype Prediction on the UK BiobankAlex Meléndez, Cayetana López, David Bonet, Gerard Sant, Daniel Mas Montserrat, Jordi Abante, Manuel Rivas, Ferran Marqués, Alexander G. Ioannidis. 3804-3810 [doi]
• Modeling of AMPK Regulatory Network in Alzheimer's DiseaseJunsheng Wang, Enze Xu, Yang Xiao, Chunrui Xu, Minghan Chen. 3832-3839 [doi]
• Patch-based CNN Models for Bone Marrow Edema Detection Using MRIAndré Gomes, Tânia Pereira 0001, Francisco Silva 0002, Pedro Franco, Diogo Costa Carvalho, Sílvia Costa Dias, Hélder P. Oliveira. 3881-3885 [doi]
• Annotating omics Data with sex and age of samples: Enabling powerful omics studiesPietro Hiram Guzzi, Mattia Cannistrà, Raffaele Giancotti, Ugo Lomoio, Barbara Puccio, Patrizia Vizza, Giuseppe Tradigo, Pierangelo Veltri. 3886-3890 [doi]
• Research on Assessment of Diabetic Foot Neuropathy Based on Multi-subdomain Classification AlgorithmJunjie Pan, Faming Huang, Zhongliang Zhang, Lin Shu. 3893-3900 [doi]
• *Kostas M. Tsiouris, Grigorios Kalliatakis, Ketti Mazzocco, Bostjan Seruga, Kostas Marias, Georgia S. Karanasiou, Athos Antoniades, Andri Papakonstantinou, Constanza Conti, Manolis Tsiknakis, Stelios Sfakianakis, Lampros Lakkas, Gerasimos Filippatos, Anca I. D. Bucur, Dimitrios I. Fotiadis, Georgios C. Manikis, Davide Mauri, Anastasia Constantinidou, Elsa Pacella. 3907-3912 [doi]
• Biomarker discovery using multimodal data with the potential application in lung tumor diagnosisRuhao Liu, Qingchen Zhang 0001, Kai Wang, Shuling Wang. 3926-3932 [doi]
• Attention-based BRCNN for Chinese Medical Question AnsweringRuilin Qi, Hang Li, Qingchen Zhang 0001. 3933-3937 [doi]
• IMAN: An Iterative Mutual-Aid Network for Breast Lesion Segmentation on Multi-modal Ultrasound ImagesXiaozheng Xie, Yong Wang, Chen Chen, Rui Wang 0109, Xuefeng Liu 0001, Jianwei Niu 0002. 3954-3961 [doi]
• A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image SegmentationJianing Zhang, Jing Gao 0007, Zhikui Chen, JunYang Zhou, Yingshu Liu, Peng Li 0027. 3962-3967 [doi]
• SWT-UNet: Medical Image Segmentation Based on Multi-modality UNet with Sliding Window Transformer BlockYangqianhui Zhang, Dong Han, Xiaoming Gang, JiaJun Ma, Xu Yuan 0002. 3976-3983 [doi]
• Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal CarcinomaYuanpeng Zhang, Jiang Zhang, Saikit Lam, Xinzhi Teng, Chengyu Qiu, Jing Cai. 3991-3997 [doi]
• Establishing a Correlation of Clinical Characteristics with the Level of Tumor Mutation Burden in Urothelial Bladder CarcinomaLujain Alshomali, Rania Khorma, Abdullah Al-Refai, Abedalrhman Alkhateeb. 3998-4001 [doi]
• Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze TrackingUsman Fakhar, Bashier ElKarami, Abedalrhman Alkhateeb. 4002-4006 [doi]
• Application of Multi-Dimensional SNV Features in Supervised LearningLiang Yu 0002, Lin Gao, Bo Li, Hongxia Hao, Lu Chen. 4007-4013 [doi]
• MulMarker: a comprehensive framework for identifying multi-gene prognostic signaturesXu Zhang, Lei Chen. 4041-4021 [doi]
• Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case StudyTobias Ettling, Sari Saba-Sadiya, Gemma Roig. 4051-4058 [doi]
• Towards Trustworthy Collaborative Healthcare Data SharingMuhammad Firdaus, Kyung Hyune Rhee. 4059-4064 [doi]
• ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma GradingWenyun Li 0001, Chi-Man Pun. 4081-4085 [doi]
• A Preliminary Investigation into Use of Admission-Recorded Photoplethysmograms for Predicting Hospital Mortality in Children with Confirmed or Suspected Infection in Resource-Poor SettingsMahan Rahimi, Matthew O. Wiens, Jerome Kabakyenga, John Mark Ansermino, Guy Albert Dumont. 4108-4115 [doi]
• Confident-CAM: Improving Heat Map Interpretation in Chest X-Ray Image ClassificationJoana Rocha, Ana Maria Mendonça, Sofia Cardoso Pereira, Aurélio Campilho. 4116-4123 [doi]
• Design and Verification of an Aromatherapy Feedback System for Mental Fatigue Based on Physiological SignalsTao Sun, Fuze Tian, Hua Jiang, Qinglin Zhao, Bin Hu 0001. 4140-4147 [doi]
• *Kostas M. Tsiouris, George Rigas, Styliani Zelilidou, Evangelia Florou, Foivos Kanellos, Eleftherios Kosmas, Ilias Tsimperis, Emmanouil Vagiakis, Dimitrios I. Fotiadis. 4154-4158 [doi]
• The Secondary Isolated Data Island: Isolated Data Island Caused by Blockchain in Federated LearningChenghan Wang, Shanshan Wang 0003, Chuan Zhao, Xueyang Cao, Shuhao Yan, Yadi Han, Limei Huang, Zhenxiang Chen. 4159-4166 [doi]
• IIESC-Net: Incorporating Implicit and Explicit Structural Constraints for Hip Joint Landmark Detection in pelvic X-rayJing Zhang, Lijun Guo, Lixin Ni, Xiuchao He, Jianhua Wang, Rong Zhang 0007. 4179-4186 [doi]
• Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary ReviewLeying Zhang, Xiaokang Deng, Yu Lu 0001. 4187-4194 [doi]
• Estimating the Limits of Organism-Specific Training for Epitope PredictionJodie Ashford, Anikó Ekárt, Felipe Campelo. 4195-4202 [doi]
• A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning MethodsEdward Kim 0006, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi, Vicki Seyfert-Margolis. 4213-4219 [doi]
• Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging AnalysisJunior Ben Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang. 4243-4250 [doi]
• Sentiment Analysis based COVID-19 Vaccine Recommender SystemAreeba Umair, Elio Masciari. 4251-4258 [doi]
• Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text MessagesJulie Dittmann Weimar Andersen, Marcus Lomstein Jensen, Uffe Kock Wiil, Søren Skovbakke, Ole Skov, Susanne S. Pedersen, Abdolrahman Peimankar, Ali Ebrahimi. 4275-4281 [doi]
• Survey and Experiments on Biomedical Pre-Trained Language Models for Named Entity RecognitionNooshin Bayat, Nuria García-Santa, Kendrick Cetina, Ander Martinez. 4282-4288 [doi]
• Pediatric Sepsis Phenotyping Using Vital Sign TrajectoriesYanyi Jenny Ding, Zhidi Luo, Mindy Szeto, Yuan Luo 0001, L. Nelson Sanchez-Pinto. 4297-4303 [doi]
• An Interaction Model for Merging Multi-Agent Argumentation in Shared Clinical Decision MakingShengxin Hong, Liang Xiao 0004, Jianxia Chen. 4304-4311 [doi]
• A dual-channel deep learning approach to continuous prediction of acute kidney injury in the intensive care unitXuetong Kong, Peng Zhang 0047, Yunchao Ling, Daqing Lv, Jun Xu, Guoqing Zhang 0006. 4320-4327 [doi]
• Identification of Non-Lexical Content in Croatian Health Forum EntriesAmila Kugic, Stefan Schulz 0001, Markus Kreuzthaler. 4328-4335 [doi]
• Parameter sensitivity analysis of the myocardial cell models in ischemia and screening of drug targetsJun Liu, Cuiping Liang, Kuanquan Wang. 4352-4359 [doi]
• ChatICD: Prompt Learning for Few-shot ICD Coding through ChatGPTJunping Liu, Shichen Yang, Tao Peng 0006, Xinrong Hu, Qiang Zhu. 4360-4367 [doi]
• Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health RecordsAlex Moerschbacher, Zhe He 0001. 4368-4373 [doi]
• Surface-Based Morphometric Changes of The Hippocampus At Global and Subfield Levels Of Early-Stage Parkinson's DiseaseMeng Niu, Junqiang Lei, Yu Fu. 4374-4381 [doi]
• Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological AgesDaniele Pala, Yuezhi Xie, Jia Xu, Yuqin Zhang, Li Shen 0001. 4382-4388 [doi]
• AI-based Models to Predict the Heart Rate Using PPG and Accelerometer Signals During Physical ExerciseLucas Ribeiro, Hélder P. Oliveira, Xiao Hu 0002, Tânia Pereira 0001. 4398-4403 [doi]
• EGDE: A Framework for Bridging the Gap in Medical Zero-shot Relation Triplet ExtractionJiayuan Su, Jian Zhang, Peng Peng 0006, Hongwei Wang 0001. 4418-4425 [doi]
• Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling ModelShubo Tian, Pengfei Yin, Hansi Zhang, Arslan Erdengasileng, Jiang Bian 0001, Zhe He 0001. 4426-4430 [doi]
• Expanding Medical Knowledge: A Clinical Decision Support System Utilizing LiteratureZefang Tong, Liang Xiao 0004, Jianxia Chen, Zhang Liu, Xiaorui Guo, Pengfei Liu. 4431-4438 [doi]
• Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease ProgressionXulong Wang, Menghui Zhou, Yu Zhang 0128, Kang Liu, Jun Qi 0001, Po Yang 0001. 4444-4451 [doi]
• Patient-Centered Data Sharing and Revision Framework Based on Redactable BlockchainXingyu Wu, Liang Zhang, Honglan Huang. 4452-4458 [doi]
• Fine-tuning a pre-trained Transformers-based model for gene name entity recognition in biomedical text using a customized dataset: case of Desulfovibrio vulgaris HildenboroughAlain Bertrand Bomgni, Dialo Abdala, Bichar Dip Shrestha Gurung, Marcellin Julius Antonio Nkenlifack, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba. 4473-4479 [doi]
• NLPADADE: Leveraging Natural Language Processing for Automated Detection of Adverse Drug EffectsAlain Bertrand Bomgni, Claude Epiphanie Mbotchack Ngale, Shiva Aryal, Marcellin Julius Antonio Nkenlifack, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba. 4480-4487 [doi]
• Computational methods for biofouling and corrosion-resistant graphene nanocomposites. A transdisciplinary approachRamesh Devadig, Bichar Dip Shrestha Gurung, Etienne Z. Gnimpieba, Bharath Jasthi, Venkataramana Gadhamshetty. 4494-4496 [doi]
• Utilizing XGBoost for the Prediction of Material Corrosion Rates from Embedded Tabular Data using Large Language ModelTuyen Do, Bichar Dip Shrestha Gurung, Shiva Aryal, Anup Khanal, Sandeep Chataut, Venkataramana Gadhamshetty, Carol Lushbough, Etienne Z. Gnimpieba. 4497-4499 [doi]
• Transformer in Microbial Image Analysis: A Comparative Exploration of TransUNet, UNet, and DoubleUNet for SEM Image SegmentationBichar Dip Shrestha Gurung, Anup Khanal, Timothy W. Hartman, Tuyen Do, Sandeep Chataut, Carol Lushbough, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba. 4500-4502 [doi]
• SIMPL - An Application for Cell and Microbe Tracking Using Machine LearningSam Haas, Bichar Dip Shrestha Gurung, Timothy W. Hartman, Tuyen Do, Etienne Z. Gnimpieba. 4503-4505 [doi]
• Machine Learning-Assisted Optical Detection of Multilayer Hexagonal Boron Nitride for Enhanced Characterization and AnalysisMd Hasanur Rahman 0004, Vidya Bommanapally, Dilanga Abeyrathna, Md Ashaduzzman, Manoj Tripathi, Mahzuzah Zahan, Mahadevan Subramaniam, Venkataramana Gadhamshetty. 4506-4508 [doi]
• Genome wide computational prediction and analysis of noncoding genome of corrosive biofilm forming Oleidesulfovibrio alaskensis G20Ram Nageena Singh, Etienne Z. Gnimpieba, Rajesh Kumar Sani. 4509-4512 [doi]
• Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRFQifeng Lou, Shutong Wang, Jiahao Chen, Dongmei Mu, Ying Wang 0009, Lili Huang. 4609-4614 [doi]
• Traditional Chinese Medicine Formula Classification Using Large Language ModelsZhe Wang, Keqian Li, Quanying Ren, Keyu Yao, Yan Zhu. 4647-4654 [doi]
• The BaiBu Knowledge Engine: A Solution for Improving the Semantic Knowledge Base of Traditional Chinese MedicineShuqi Zhang, Zhe Wang, Keyu Yao, Lihong Liu, Yan Zhu. 4718-4725 [doi]
• A domain adaptive pre-training language model for sentence classification of Chinese electronic medical recordYilin Zou, Peng Zhang 0047, Yunchao Ling, Daqing Lv, Ziming Li, Shun Lu, Guoqing Zhang 0006. 4776-4783 [doi]
• Emotion recognition by facial image acquisition: analysis and experimentation of solutions based on neural networks and robot humanoid PepperGiulio Amabili, Sabrina Iarlori, Samuele Millucci, Andrea Monteriù, Lorena Rossi, Paolo Valigi. 4784-4791 [doi]
• BiCCT: A Compact Convolutional Transformer for EEG Emotion RecognitionGang Cao, Liying Yang, Chengchuang Tang, Qian Zhang 0074, Huanyu He. 4792-4799 [doi]
• Sentiment Analysis in Greek Clinical Conversations: A Comparative Study of BERT, VADER, and Lexicon ApproachesMaria Evangelia Chatzimina, Nikolaos Oikonomou, Helen Papadaki, Manolis Tsiknakis, Charalampos Pontikoglou. 4800-4806 [doi]
• Making the Implicit Explicit: Depression Detection in Web across Posted Texts and ImagesPengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu. 4807-4811 [doi]
• An assistive robot in healthcare scenarios requiring monitoring and rules regulation: exploring Pepper use caseDavid C. Nchekwube, Sabrina Iarlori, Andrea Monteriù. 4812-4819 [doi]
• Multi-channel CNN-based emotion recognition using recurrence plot representations of speechAnastasia Pentari, Petros K. Iosifidis, Giannis Kyprakis, Chrysoula Tzermia, Michael Froudas, Vasileios Skaramagkas, Manolis Tsiknakis. 4820-4826 [doi]
• Bio-Signal Based Multimodal Fusion with Bilinear Model for Emotion RecognitionAshutosh Singh, Nina Holzer, Theresa Götz, Thomas Wittenberg, Stephan Göb, Shrutika S. Sawant, Muhammad-Momin Salman, Jaspar Pahl. 4834-4839 [doi]
• A two-stream channel reconstruction and feature attention network for EEG emotion recognitionQiang Wang, Liying Yang, Haoxuan Sun, Qian Zhang 0074, Chengchuang Tang. 4840-4847 [doi]
• Investigating the Generalizability of Physiological Characteristics of AnxietyEmily Zhou, Mohammad Soleymani 0001, Maja J. Mataric. 4848-4855 [doi]
• An Early Depression Detection Model on Social Media using Emotional and Causal FeaturesLinlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu 0009. 4856-4858 [doi]
• Joint Clustering and Analyze Single Cell Multi-omics Data by scMOGANCongcong An, Yiwen Chen, Shanling Nie, Hai Yang 0002. 4862-4864 [doi]
• The Epidemiology and Trends of Cancer in Jordan, 2012-2018Mohammad Asad, Abdullah Al-Refai, Saqr Abu Shattal, Abedalrhman Alkhateeb. 4865-4867 [doi]
• Generative Positive-Unlabeled Classification for Hunting Small Open Reading FramesJie Chen, Wenbin Liao, Du Wen, JianQiang Li, Fangzhong Wang. 4871-4873 [doi]
• A Novel Diffusion-Model-Based Bone Scan Image Inpainting AlgorithmBangning Ji, Gang He. 4907-4909 [doi]
• Emotion Analysis in the Movie Script for Frozen CharactersYounha Kim, Seung-Shik Kang 0001. 4910-4912 [doi]
• Facial Emotion Recognition using Landmark coordinate featuresJunhwan Kwon, KyeongTaek Oh, Jaesuk Kim, Oyun Kwon, Hee Cheol Kang, Sun K. Yoo. 4916-4918 [doi]
• Impact of FOSB on Tumor Microenvironment and Immunotherapy in Pan-CancerChanglin Liu, Gang He, Zhengguo Chen. 4923-4925 [doi]
• Human Perception Mechanism based CNN-RNN Framework for Dimensional Emotion RecognitionKyeongTaek Oh, Junhwan Kwon, Oyun Kwon, Jaesuk Kim, Hee Cheol Kang, Sun K. Yoo. 4935-4937 [doi]
• Development of Remote Patient Monitoring System for Patients with COVID-19 Infection Based on the predictive AlgorithmsSumi Sung, Ye Seul Bae, Youlim Kim, Jungkyun Woo, Eui Kyu Chie. 4955-4956 [doi]
• Impact of Telehealth for Monitoring Depressive Symptom Trajectories in COVID-19 Patients with Clinically Mild Condition in South Korea: Longitudinal Data AnalysisSumi Sung, Ye Seul Bae, Su Hwan Kim, Eui Kyu Chie, Youlim Kim. 4957-4958 [doi]
• Modif-SegUnet: Innovatively Advancing Liver Cancer Diagnosis and Treatment through Efficient and Meaningful Segmentation of 3D Medical ImagesChenhang Wang, Yujian Jin, Jiayi Liang, Yuhan Yang, Shanling Nie, Hai Yang 0002. 4966-4968 [doi]
• A Transformer-based Method for Recommending the Continuing Care Retirement CommunitiesZhenggui Xiang. 4978-4980 [doi]
• A Visit Prediction Method of the Patients in the Continuing Care Retirement CommunityZhenggui Xiang. 4981-4983 [doi]