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Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation


Jan 07, 2021
Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth

* IEEE Transactions on Medical Imaging, 2020 
* 19 pages, 13 figures, Transactions of Medical Imaging 

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Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan


Nov 23, 2020
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu

* Accepted with minor revision to Medical Image Analysis 

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Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning


Sep 28, 2020
Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori

* Accepted by MICCAI DCL Workshop 2020 

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Federated Learning for Breast Density Classification: A Real-World Implementation


Sep 17, 2020
Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard White, Behrooz Hashemian, Thomas Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina V. Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel Rubin, Jayashree Kalpathy-Cramer

* Accepted at the 1st MICCAI Workshop on "Distributed And Collaborative Learning"; add citation to Fig. 1 & 2 and update Fig. 5 

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Colonoscope tracking method based on shape estimation network


Apr 20, 2020
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori

* Proceedings of SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, Vol.10951, 109510Q 
* Accepted paper as an oral presentation at SPIE Medical Imaging 2019, San Diego, CA, USA 

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Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks


Apr 20, 2020
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori

* Published in Proceedings of MICCAI 2018, LNCS 11073, pp 176-184 
* Accepted paper as a poster presentation at MICCAI 2018 (International Conference on Medical Image Computing and Computer-Assisted Intervention), Granada, Spain 

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Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams


Aug 05, 2019
Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori


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3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation


Jun 08, 2018
Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Ken'ichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori

* DLMIA 2017, ML-CDS 2017: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp.222-230 
* Presented in MICCAI 2017 workshop, DLMIA 2017 (Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support) 

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A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation


Jun 06, 2018
Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

* Accepted for presentation at the 21st International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, September 16-20, Granada, Spain 

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Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning


Apr 11, 2018
Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori

* Proc. SPIE 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1057820 (12 March 2018) 
* This paper was presented at SPIE Medical Imaging 2018, Houston, TX, USA 

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Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means


Apr 11, 2018
Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori

* Proc. SPIE 10581, Medical Imaging 2018: Digital Pathology, 1058111 (6 March 2018) 
* This paper was presented at SPIE Medical Imaging 2018, Houston, TX, USA 

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Deep learning and its application to medical image segmentation


Mar 23, 2018
Holger R. Roth, Chen Shen, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

* Medical Imaging Technology, Volume 36 (2018), Issue 2, p. 63-71 
* Accepted for publication in the journal of the Japanese Society of Medical Imaging Technology (JAMIT) 

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An application of cascaded 3D fully convolutional networks for medical image segmentation


Mar 20, 2018
Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori

* Computerized Medical Imaging and Graphics, Elsevier, Volume 66, June 2018, Pages 90-99 
* Preprint accepted for publication in Computerized Medical Imaging and Graphics. Substantial extension of arXiv:1704.06382; Corrected references to figure numbers in this version 

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On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks


Jan 18, 2018
Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori

* presented at MI-ken, November 2017, Takamatsu, Japan (http://www.ieice.org/iss/mi/

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Hierarchical 3D fully convolutional networks for multi-organ segmentation


Apr 21, 2017
Holger R. Roth, Hirohisa Oda, Yuichiro Hayashi, Masahiro Oda, Natsuki Shimizu, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori


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Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project


Mar 15, 2017
Mohammad Eshghi, Holger R. Roth, Masahiro Oda, Min Suk Chung, Kensaku Mori

* Accepted for presentation at the 15th IAPR Conference on Machine Vision Applications (MVA2017), Nagoya, Japan 

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Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology


Feb 27, 2017
Holger R. Roth, Kai Nagara, Hirohisa Oda, Masahiro Oda, Tomoshi Sugiyama, Shota Nakamura, Kensaku Mori

* In proceedings of International Forum on Medical Imaging, IFMIA 2017, Okinawa, Japan 

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Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation


Jan 31, 2017
Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers

* This version was submitted to IEEE Trans. on Medical Imaging on Dec. 18th, 2016. The content of this article is covered by US Patent Applications of 62/345,606# and 62/450,681# 

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Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation


Jun 24, 2016
Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers

* This article will be presented at MICCAI (Medical Image Computing and Computer-Assisted Interventions), Athens, Greece, 2016 

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A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling


Mar 07, 2016
Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

* 14 pages, 14 figures, 2 tables 

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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning


Feb 10, 2016
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M. Summers


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Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases


Feb 01, 2016
Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers

* Manuscript to be presented at SPIE Medical Imaging 2016, 27 February - 3 March, 2016, San Diego, California, USA 

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Deep convolutional networks for automated detection of posterior-element fractures on spine CT


Jan 29, 2016
Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers

* To be presented at SPIE Medical Imaging, 2016, San Diego 

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Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT


Jan 13, 2016
Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers

* MICCAI 2015 Computational Methods and Clinical Applications for Spine Imaging Workshop 

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Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation


Sep 15, 2015
Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin Cherry, Lauren Kim, Ronald M. Summers

* IEEE Transactions on Medical Imaging, 28 September 2015, Volume:PP, Issue: 99 
* 2D vs 2.5D vs 3D inputs and comparison to other standard classifiers such as SVM have been addressed by more experimentation and two completely new sections and figures. Results and Discussions have been updated accordingly 

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DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation


Jun 22, 2015
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

* To be presented at MICCAI 2015 - 18th International Conference on Medical Computing and Computer Assisted Interventions, Munich, Germany 

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Anatomy-specific classification of medical images using deep convolutional nets


Apr 15, 2015
Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers

* Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on Year: 2015 Pages: 101 - 104 
* Presented at: 2015 IEEE International Symposium on Biomedical Imaging, April 16-19, 2015, New York Marriott at Brooklyn Bridge, NY, USA 

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Deep convolutional networks for pancreas segmentation in CT imaging


Apr 15, 2015
Holger R. Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers

* Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94131G (20 March 2015) 
* SPIE Medical Imaging conference, Orlando, FL, USA: SPIE Proceedings | Volume 9413 | Classification 

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Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study


Jan 15, 2015
Holger R. Roth, Thomas E. Hampshire, Emma Helbren, Mingxing Hu, Roser Vega, Steve Halligan, David J. Hawkes

* Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 903609 (March 12, 2014) 
* This paper was presented at the SPIE Medical Imaging 2014 conference 

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