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Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging


Sep 18, 2021
Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo

* Accepted at the third MICCAI workshop on Computational Pathology (COMPAY 2021) 

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Compound Figure Separation of Biomedical Images with Side Loss


Jul 19, 2021
Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo


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Attention-Guided Supervised Contrastive Learning for Semantic Segmentation


Jun 03, 2021
Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Bennett A. Landman, Yuankai Huo

* 17 pages, 7 figures 

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Multi-Contrast Computed Tomography Healthy Kidney Atlas


Dec 24, 2020
Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman

* 8 pages, 5 figures 

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RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior


Dec 24, 2020
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* 5 pages, 3 figures 

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Development and Characterization of a Chest CT Atlas


Dec 05, 2020
Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman

* Accepted by SPIE2021 Medical Imaging (oral) 

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CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns


Nov 02, 2020
Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo


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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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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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Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks


Apr 03, 2019
Anirban Bhattacharjee, Yogesh Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano


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3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles


Mar 28, 2019
Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman


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Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics


Feb 21, 2019
Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman

* SPIE Medical Image, oral presentation 

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Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network


Dec 10, 2018
Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman

* Accepted for SPIE: Medical Imaging 2019 

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Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning


Nov 10, 2018
Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, J. Jeffery Carr, Bennett A. Landman

* Accepted by SPIE medical imaging 2019 

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Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks


Nov 09, 2018
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman

* Accepted by IEEE Transactions on Medical Imaging 

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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth


Oct 15, 2018
Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman

* Accepted by IEEE Transactions on Medical Imaging (TMI) 

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Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data


Jun 05, 2018
Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman

* To appear in MICCAI2018 

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Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth


Dec 20, 2017
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman

* IEEE International Symposium on Biomedical Imaging (ISBI) 2018 

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Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation


Dec 02, 2017
Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman

* SPIE Medical Imaging 2018 

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Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks


Dec 02, 2017
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman

* SPIE Medical Imaging 2018 

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