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Ruining Deng

Showing results (41-50 of 66) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|May 25, 2023
Deep Constrained Spherical Deconvolution for Robust HarmonizationTianyuan Yao, Francois Rheault, Leon Y Cai, 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.
Journal of Medical Imaging (Bellingham, Wash.)|August 6, 2025
ZeroReg3D: a zero-shot registration pipeline for 3D consecutive histopathology image reconstructionJuming Xiong, Ruining Deng, Jialin Yue, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|March 21, 2025
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology SegmentationRuining Deng, Quan Liu, Can Cui, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 26, 2024
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered LearningRuining Deng, Yanwei Li, Peize Li, et al.
Arxiv|November 19, 2025
Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation ModelsRunchen Wang, Junlin Guo, Siqi Lu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 8, 2024
Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imagingTianyuan Yao, Francois Rheault, Leon Y Cai, et al.
Medical Image Learning with Limited and Noisy Data : Second International Workshop, Milland 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Milland (Workshop) : (2Nd : 2023 : Vancouver, B|March 25, 2024
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical ImagesCan Cui, Yaohong Wang, Shunxing Bao, et al.
Briefings in Bioinformatics|May 25, 2026
A comprehensive survey of computer vision methods for spatial transcriptomicsJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 13, 2025
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyJunlin Guo, Siqi Lu, Can Cui, et al.
Pageof 7

Showing results (41-50 of 66) with videos related to

Sort By:
Pageof 7
Proceedings of Spie--The International Society for Optical Engineering|May 25, 2023
Deep Constrained Spherical Deconvolution for Robust HarmonizationTianyuan Yao, Francois Rheault, Leon Y Cai, 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.
Journal of Medical Imaging (Bellingham, Wash.)|August 6, 2025
ZeroReg3D: a zero-shot registration pipeline for 3D consecutive histopathology image reconstructionJuming Xiong, Ruining Deng, Jialin Yue, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|March 21, 2025
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology SegmentationRuining Deng, Quan Liu, Can Cui, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 26, 2024
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered LearningRuining Deng, Yanwei Li, Peize Li, et al.
Arxiv|November 19, 2025
Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation ModelsRunchen Wang, Junlin Guo, Siqi Lu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 8, 2024
Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imagingTianyuan Yao, Francois Rheault, Leon Y Cai, et al.
Medical Image Learning with Limited and Noisy Data : Second International Workshop, Milland 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Milland (Workshop) : (2Nd : 2023 : Vancouver, B|March 25, 2024
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical ImagesCan Cui, Yaohong Wang, Shunxing Bao, et al.
Briefings in Bioinformatics|May 25, 2026
A comprehensive survey of computer vision methods for spatial transcriptomicsJunchao Zhu, Ruining Deng, Junlin Guo, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 13, 2025
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyJunlin Guo, Siqi Lu, Can Cui, et al.
Pageof 7