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Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Jun 28, 2020
Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam Harrison


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Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images

Jun 10, 2020
Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes Fogo, Yuankai Huo


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CircleNet: Anchor-free Detection with Circle Representation

Jun 03, 2020
Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo


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JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans

May 27, 2020
Fengze Liu, Jingzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan Yuille, Le Lu, ChienHung Liao, Adam P Harrison


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The Value of Nullspace Tuning Using Partial Label Information

Mar 17, 2020
Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko


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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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Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Jan 28, 2020
Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu

* This work has been submitted to the IEEE for possible publication 

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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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Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

Aug 13, 2019
Camilo Bermudez, Justin Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman


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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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Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations

Jun 29, 2019
Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, J. Jeffery Carr, Bennett A. Landman

* Medical Physics 

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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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Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols

Jan 07, 2019
Yunxi Xiong, Yuankai Huo, Jiachen Wang, L. Taylor Davis, Maureen McHugo, Bennett A. Landman

* To appear in SPIE Medical Imaging 2019 

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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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Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps

Nov 26, 2018
Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. DHaese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman

* Accepted to 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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Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation

Jun 06, 2018
Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman


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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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Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images

Jun 04, 2018
Zhoubing Xu, Yuankai Huo, JinHyeong Park, Bennett Landman, Andy Milkowski, Sasa Grbic, Shaohua Zhou

* Accepted to MICCAI 2018 

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