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An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level


May 23, 2023
Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo

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An End-to-end Pipeline for 3D Slide-wise Multi-stain Renal Pathology Registration


May 19, 2023
Peize Li, Ruining Deng, Yuankai Huo

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* Proceedings Volume Medical Imaging 2023: Digital and Computational Pathology, 124710F (2023) 
* 6 pages, 4 figures 

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Exploring shared memory architectures for end-to-end gigapixel deep learning


Apr 24, 2023
Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman

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Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging


Apr 09, 2023
Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo

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Cross-scale Multi-instance Learning for Pathological Image Diagnosis


Apr 01, 2023
Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

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CircleSnake: Instance Segmentation with Circle Representation


Nov 02, 2022
Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo

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* Machine Learning in Medical Imaging Workshop for 2022 MICCAI 

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Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning


Aug 30, 2022
Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo

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* Machine.Learning.for.Biomedical.Imaging. 1 (2022) 
* Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://www.melba-journal.org/papers/2022:025.html. arXiv admin note: substantial text overlap with arXiv:2107.08650 

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Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images


Aug 15, 2022
Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

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Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation


Jun 27, 2022
Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo

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Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data


Mar 08, 2022
Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong WangShilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo

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