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Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk

Oct 19, 2020
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman

* Accepted by SPIE2021 Medical Imaging, oral 

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Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

Feb 10, 2020
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* SPIE2020 Medical Imaging 

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Outlier Guided Optimization of Abdominal Segmentation

Feb 10, 2020
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* SPIE2020 Medical Imaging 

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Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection

Dec 16, 2019
Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

* Accepted by Medical Imaging, SPIE2020 

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Stochastic tissue window normalization of deep learning on computed tomography

Dec 01, 2019
Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, Jeffrey J. Carr, Richard G. Abramson, Bennett A. Landman

* Journal of Medical Imaging 6.4 (2019): 044005 

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Contrast Phase Classification with a Generative Adversarial Network

Nov 14, 2019
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* SPIE2020 
* 8 pages, 4 figures 

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Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging

Nov 12, 2019
Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

* 8 pages, 5 figures, SPIE 2020 Medical Imaging, oral presentation 

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Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

Nov 12, 2019
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* 7 pages, 5 figures, Accepted by SPIE 2020: Medical Imaging 

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Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

Sep 11, 2019
Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

* This paper is accepted by MLMI (oral), MICCAI workshop 

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Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE

Jul 15, 2019
Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yucheng Tang, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman


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More Knowledge is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring

Dec 09, 2018
Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou

* Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018. Lecture Notes in Computer Science, vol 11071. Springer, Cham 

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