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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

* Machine Learning in Medical Imaging Workshop for 2022 MICCAI 

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Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation


Oct 16, 2022
Ho Hin Lee, Yucheng Tang, Han Liu, Yubo Fan, Leon Y. Cai, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman

* 11 pages 

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3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation


Oct 03, 2022
Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman

* 9 pages 

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Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models


Sep 28, 2022
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, LeonY. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman

* Medical Image Computing and Computer Assisted Intervention MICCAI 2022, Cham, 2022, pp202,212 
* 11 pages, 4 figures 

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UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation


Sep 28, 2022
Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang

* 19 pages, 17 figures. arXiv admin note: text overlap with arXiv:2203.02430 

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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

* 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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Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective


Jul 13, 2022
Kaiwen Xu, Thomas Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

* 18 pages 

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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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Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining


May 31, 2022
Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo


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