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Haichun Yang

Showing results (61-70 of 106) with videos related to

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Machine Learning. Health|October 31, 2025
Quantitative benchmarking of anomaly detection methods in digital pathology imagesCan Cui, Xindong Zheng, Ruining Deng, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 16, 2025
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal PathologyJiayuan Chen, Yu Wang, Ruining Deng, et al.
American Journal of Physiology. Renal Physiology|May 20, 2016
Pyridoxamine reduces postinjury fibrosis and improves functional recovery after acute kidney injuryNataliya I Skrypnyk, Paul Voziyan, Haichun Yang, et al.
Biorxiv : the Preprint Server for Biology|June 22, 2026
Myofibroblast- specific autophagy drives cyst growth in autosomal dominant polycystic kidney diseaseAbeda Jamadar, Viji Remadevi, Meekha M Varghese, et al.
Frontiers in Psychiatry|July 29, 2025
Acupuncture for Adolescent Depression Disorder: protocol for a randomized controlled trialYuting Duan, Yuejuan Cai, Junting Lai, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 24, 2025
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image AnalysisRuining Deng, Quan Liu, Can Cui, et al.
IEEE Transactions on Bio-Medical Engineering|April 8, 2023
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image SegmentationRuining Deng, Quan Liu, Can Cui, et al.
Kidney International|March 12, 2015
Renal fibrosis is not reduced by blocking transforming growth factor-β signaling in matrix-producing interstitial cellsSurekha Neelisetty, Catherine Alford, Karen Reynolds, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 10, 2025
Img2ST-Net: efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learningJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Pediatric Nephrology (Berlin, Germany)|June 24, 2019
Urinary apolipoprotein AI in children with kidney diseaseAmanda J Clark, Kathy Jabs, Tracy E Hunley, et al.
Pageof 11

Showing results (61-70 of 106) with videos related to

Sort By:
Pageof 11
Machine Learning. Health|October 31, 2025
Quantitative benchmarking of anomaly detection methods in digital pathology imagesCan Cui, Xindong Zheng, Ruining Deng, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 16, 2025
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal PathologyJiayuan Chen, Yu Wang, Ruining Deng, et al.
American Journal of Physiology. Renal Physiology|May 20, 2016
Pyridoxamine reduces postinjury fibrosis and improves functional recovery after acute kidney injuryNataliya I Skrypnyk, Paul Voziyan, Haichun Yang, et al.
Biorxiv : the Preprint Server for Biology|June 22, 2026
Myofibroblast- specific autophagy drives cyst growth in autosomal dominant polycystic kidney diseaseAbeda Jamadar, Viji Remadevi, Meekha M Varghese, et al.
Frontiers in Psychiatry|July 29, 2025
Acupuncture for Adolescent Depression Disorder: protocol for a randomized controlled trialYuting Duan, Yuejuan Cai, Junting Lai, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 24, 2025
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image AnalysisRuining Deng, Quan Liu, Can Cui, et al.
IEEE Transactions on Bio-Medical Engineering|April 8, 2023
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image SegmentationRuining Deng, Quan Liu, Can Cui, et al.
Kidney International|March 12, 2015
Renal fibrosis is not reduced by blocking transforming growth factor-β signaling in matrix-producing interstitial cellsSurekha Neelisetty, Catherine Alford, Karen Reynolds, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 10, 2025
Img2ST-Net: efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learningJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Pediatric Nephrology (Berlin, Germany)|June 24, 2019
Urinary apolipoprotein AI in children with kidney diseaseAmanda J Clark, Kathy Jabs, Tracy E Hunley, et al.
Pageof 11