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Rongshan Yu

Showing results (11-20 of 41) with videos related to

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IEEE Journal of Biomedical and Health Informatics|November 28, 2025
BioMTAN: A Biological Knowledge-guided Multi-task Attention Network for Co-enhanced Cancer Diagnosis and PrognosisYing Chen, Jiajing Xie, Yuxiang Lin, et al.
STAR Protocols|October 3, 2025
Protocol to predict the origin of cancer of unknown primary from gene expression data using BPformerJiajing Xie, Tongxu Qi, Ying Chen, et al.
Medical Image Analysis|May 24, 2021
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillationWentai Hou, Liansheng Wang, Shuntian Cai, et al.
IEEE Transactions on Medical Imaging|April 7, 2023
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival PredictionWentai Hou, Chengxuan Lin, Lequan Yu, et al.
BMC Bioinformatics|October 11, 2023
cgMSI: pathogen detection within species from nanopore metagenomic sequencing dataXu Zhu, Lili Zhao, Lihong Huang, et al.
IEEE Transactions on Medical Imaging|April 4, 2023
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image ClassificationZhonghang Zhu, Lequan Yu, Wei Wu, et al.
ACS Omega|November 25, 2024
Cross-Run Hybrid Features Improve the Identification of Data-Independent Acquisition ProteomicsYachen Liu, Longfei Mei, Chenyu Liang, et al.
Translational Oncology|October 31, 2020
Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology imagesJing Hu, Chuanliang Cui, Wenxian Yang, et al.
Frontiers in Genetics|October 4, 2021
Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass CytometryXu Xiao, Ying Qiao, Yudi Jiao, et al.
Briefings in Bioinformatics|May 22, 2021
Comparison of high-throughput single-cell RNA sequencing data processing pipelinesMingxuan Gao, Mingyi Ling, Xinwei Tang, et al.
Pageof 5

Showing results (11-20 of 41) with videos related to

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Pageof 5
IEEE Journal of Biomedical and Health Informatics|November 28, 2025
BioMTAN: A Biological Knowledge-guided Multi-task Attention Network for Co-enhanced Cancer Diagnosis and PrognosisYing Chen, Jiajing Xie, Yuxiang Lin, et al.
STAR Protocols|October 3, 2025
Protocol to predict the origin of cancer of unknown primary from gene expression data using BPformerJiajing Xie, Tongxu Qi, Ying Chen, et al.
Medical Image Analysis|May 24, 2021
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillationWentai Hou, Liansheng Wang, Shuntian Cai, et al.
IEEE Transactions on Medical Imaging|April 7, 2023
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival PredictionWentai Hou, Chengxuan Lin, Lequan Yu, et al.
BMC Bioinformatics|October 11, 2023
cgMSI: pathogen detection within species from nanopore metagenomic sequencing dataXu Zhu, Lili Zhao, Lihong Huang, et al.
IEEE Transactions on Medical Imaging|April 4, 2023
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image ClassificationZhonghang Zhu, Lequan Yu, Wei Wu, et al.
ACS Omega|November 25, 2024
Cross-Run Hybrid Features Improve the Identification of Data-Independent Acquisition ProteomicsYachen Liu, Longfei Mei, Chenyu Liang, et al.
Translational Oncology|October 31, 2020
Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology imagesJing Hu, Chuanliang Cui, Wenxian Yang, et al.
Frontiers in Genetics|October 4, 2021
Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass CytometryXu Xiao, Ying Qiao, Yudi Jiao, et al.
Briefings in Bioinformatics|May 22, 2021
Comparison of high-throughput single-cell RNA sequencing data processing pipelinesMingxuan Gao, Mingyi Ling, Xinwei Tang, et al.
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