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Hailin Yue

Showing results (1-10 of 14) with videos related to

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Computers in Biology and Medicine|April 30, 2023
RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure lossYu Chen, Hailin Yue, Hulin Kuang, et al.
IEEE Journal of Biomedical and Health Informatics|March 18, 2025
CA<sup>2</sup>CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image AnalysisJunjian Li, Hulin Kuang, Jin Liu, et al.
Biotechnology Letters|April 15, 2006
Extraction of high quality of RNA and construction of a suppression subtractive hybridization (SSH) library from chestnut rose (Rosa roxburghii Tratt)Qiang Xu, Xiaopeng Wen, Nengguo Tao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 12, 2024
Chinese EMR Named Entity Recognition Using Fused Label Relations Based on Machine Reading Comprehension FrameworkJunwen Duan, Shuyue Liu, Xincheng Liao, et al.
Interdisciplinary Sciences, Computational Life Sciences|April 4, 2026
STFusion: A Spatial-Temporal Dual-Pathway Network with Multi-scale Attention Fusion for Early Diagnosis of Parkinson's DiseaseHailin Yue, Hulin Kuang, Mengshen He, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 26, 2020
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI ImagesJianhong Cheng, Jin Liu, Hailin Yue, et al.
IEEE Journal of Biomedical and Health Informatics|July 8, 2021
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma GradingJianhong Cheng, Min Gao, Jin Liu, et al.
International Journal of Surgery (London, England)|July 25, 2024
Predicting pathological response in esophageal squamous cell carcinoma with longitudinal CT radiomics and disentangled representation learning: a multicenter retrospective cohort studyXiaoding Zhou, Hailin Yue, Zhunhao Zheng, et al.
Medical Image Analysis|July 3, 2022
DARC: Deep adaptive regularized clustering for histopathological image classificationJunjian Li, Jin Liu, Hailin Yue, et al.
IEEE Transactions on Nanobioscience|August 12, 2024
A2HTL: An Automated Hybrid Transformer-Based Learning for Predicting Survival of Esophageal Cancer Using CT ImagesHailin Yue, Jin Liu, Lina Zhao, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|April 30, 2023
RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure lossYu Chen, Hailin Yue, Hulin Kuang, et al.
IEEE Journal of Biomedical and Health Informatics|March 18, 2025
CA<sup>2</sup>CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image AnalysisJunjian Li, Hulin Kuang, Jin Liu, et al.
Biotechnology Letters|April 15, 2006
Extraction of high quality of RNA and construction of a suppression subtractive hybridization (SSH) library from chestnut rose (Rosa roxburghii Tratt)Qiang Xu, Xiaopeng Wen, Nengguo Tao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 12, 2024
Chinese EMR Named Entity Recognition Using Fused Label Relations Based on Machine Reading Comprehension FrameworkJunwen Duan, Shuyue Liu, Xincheng Liao, et al.
Interdisciplinary Sciences, Computational Life Sciences|April 4, 2026
STFusion: A Spatial-Temporal Dual-Pathway Network with Multi-scale Attention Fusion for Early Diagnosis of Parkinson's DiseaseHailin Yue, Hulin Kuang, Mengshen He, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 26, 2020
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI ImagesJianhong Cheng, Jin Liu, Hailin Yue, et al.
IEEE Journal of Biomedical and Health Informatics|July 8, 2021
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma GradingJianhong Cheng, Min Gao, Jin Liu, et al.
International Journal of Surgery (London, England)|July 25, 2024
Predicting pathological response in esophageal squamous cell carcinoma with longitudinal CT radiomics and disentangled representation learning: a multicenter retrospective cohort studyXiaoding Zhou, Hailin Yue, Zhunhao Zheng, et al.
Medical Image Analysis|July 3, 2022
DARC: Deep adaptive regularized clustering for histopathological image classificationJunjian Li, Jin Liu, Hailin Yue, et al.
IEEE Transactions on Nanobioscience|August 12, 2024
A2HTL: An Automated Hybrid Transformer-Based Learning for Predicting Survival of Esophageal Cancer Using CT ImagesHailin Yue, Jin Liu, Lina Zhao, et al.
Pageof 2