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Ruining Deng

Showing results (31-40 of 66) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|May 9, 2025
High-performance Data Management for Whole Slide Image Analysis in Digital PathologyHaoju Leng, Ruining Deng, Shunxing Bao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|August 20, 2021
CircleNet: Anchor-free Glomerulus Detection with Circle RepresentationHaichun Yang, Ruining Deng, Yuzhe Lu, et al.
IEEE Transactions on Medical Imaging|October 26, 2021
Circle Representation for Medical Object DetectionEthan H Nguyen, Haichun Yang, Ruining Deng, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 1, 2025
GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse ModelLining Yu, Mengmeng Yin, Ruining Deng, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 29, 2025
Glo-In-One-v2: holistic identification of glomerular cells, tissues, and lesions in human and mouse histopathologyLining Yu, Mengmeng Yin, Ruining Deng, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 19, 2024
FNPC-SAM: Uncertainty-Guided False Negative/Positive Control for SAM on Noisy Medical ImagesXing Yao, Han Liu, Dewei Hu, et al.
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.
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.
Pageof 7

Showing results (31-40 of 66) with videos related to

Sort By:
Pageof 7
Proceedings of Spie--The International Society for Optical Engineering|May 9, 2025
High-performance Data Management for Whole Slide Image Analysis in Digital PathologyHaoju Leng, Ruining Deng, Shunxing Bao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|August 20, 2021
CircleNet: Anchor-free Glomerulus Detection with Circle RepresentationHaichun Yang, Ruining Deng, Yuzhe Lu, et al.
IEEE Transactions on Medical Imaging|October 26, 2021
Circle Representation for Medical Object DetectionEthan H Nguyen, Haichun Yang, Ruining Deng, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 1, 2025
GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse ModelLining Yu, Mengmeng Yin, Ruining Deng, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 29, 2025
Glo-In-One-v2: holistic identification of glomerular cells, tissues, and lesions in human and mouse histopathologyLining Yu, Mengmeng Yin, Ruining Deng, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 19, 2024
FNPC-SAM: Uncertainty-Guided False Negative/Positive Control for SAM on Noisy Medical ImagesXing Yao, Han Liu, Dewei Hu, et al.
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.
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.
Pageof 7