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CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection


Jan 06, 2023
Jie Liu, Yixiao Zhang, Jie-Neng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan Yuille, Yucheng Tang, Zongwei Zhou

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MONAI: An open-source framework for deep learning in healthcare


Nov 04, 2022
M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murrey, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Andriy Myronenko, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans Johnson, Brad Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng

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* www.monai.io 

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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

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* 11 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

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* 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

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

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Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation


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

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* 7 pages, 3 figures 

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Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography


Sep 04, 2022
Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim Sandler, Bennett A. Landman

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* Summited to SPIE 2023 - Medical Imaging. 10 pages 

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A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging


Jun 17, 2022
Riqiang Gao, Thomas Li, Yucheng Tang, Zhoubing Xu, Michael Kammer, Sanja L. Antic, Kim Sandler, Fabien Moldonado, Thomas A. Lasko, Bennett Landman

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* 17 pages, 6 figures 

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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives


Jun 03, 2022
Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou

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Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation


May 12, 2022
Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, J. Jeffrey Carr, Yuankai Huo, Bennett A. Landman

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