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A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises

Aug 02, 2020
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers

* 19 pages, 7 figures 

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E$^2$Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans

Jul 19, 2020
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers


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Deep Small Bowel Segmentation with Cylindrical Topological Constraints

Jul 16, 2020
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers

* Accepted to MICCAI 2020 

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Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model

Jul 14, 2020
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers

* Accepted to Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 

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COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature

Jun 11, 2020
Yifan Peng, Yu-Xing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu


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Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection

May 22, 2020
Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers

* accepted as a short paper in the 2020 Medical Imaging with Deep Learning (MIDL) conference 

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The Future of Digital Health with Federated Learning

Mar 18, 2020
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sebastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso


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Bone Suppression on Chest Radiographs With Adversarial Learning

Feb 08, 2020
Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers

* Accepted by SPIE Medical Imaging 2020 

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Accurately identifying vertebral levels in large datasets

Jan 28, 2020
Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers

* Accepted for publication in Proceedings of SPIE 2020: Medical Imaging 

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Weakly Supervised Lesion Co-segmentation on CT Scans

Jan 24, 2020
Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers


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Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation

Jan 23, 2020
Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers


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$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction

Dec 18, 2019
Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert

* Submitted to Magnetic Resonance in Medicine 

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$Σ$-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction

Dec 11, 2019
Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik

* fastMRI challenge submission (team: holykspace) 

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TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays

Aug 21, 2019
Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers

* MICCAI 2019 

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MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

Aug 12, 2019
Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers

* MICCAI 2019, including appendix. code: https://github.com/rsummers11/CADLab/tree/master/MULAN_universal_lesion_analysis 

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A self-attention based deep learning method for lesion attribute detection from CT reports

Apr 30, 2019
Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu

* 5 pages, 2 figures, accepted by 2019 IEEE International Conference on Healthcare Informatics (ICHI 2019) 

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Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

Apr 27, 2019
Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers

* CVPR 2019 oral, main paper + supplementary material 

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XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation

Apr 19, 2019
Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers

* Accepted by MIDL 2019 

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Fine-grained lesion annotation in CT images with knowledge mined from radiology reports

Mar 26, 2019
Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers

* 4 pages, IEEE International Symposium on Biomedical Imaging (ISBI) 2019, oral presentation 

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Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier

Mar 05, 2019
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers

* Accepted as an oral presentation in IEEE International Symposium on Biomedical Imaging (ISBI) 2019 

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A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Feb 25, 2019
Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan H. Heckers, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso


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Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data

Feb 23, 2019
Ling Zhang, Le Lu, Robert M. Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao

* 10 pages, 6 figures 

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ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining

Jan 18, 2019
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers


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3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection

Jul 29, 2018
Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers

* MICCAI 2018 

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Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs

Jul 19, 2018
Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers

* 9th International Conference on Machine Learning in Medical Imaging (MLMI 2018) In conjunction with MICCAI 2018 

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CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

Jul 18, 2018
Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

* Accepted by MLMI 2018 

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Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST

Jul 02, 2018
Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers

* 9 pages, 3 figures, accepted to MICCAI 2018. arXiv admin note: substantial text overlap with arXiv:1801.08614 

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Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks

Jun 25, 2018
Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers

* Accepted by MICCAI 2018 

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Unsupervised Body Part Regression via Spatially Self-ordering Convolutional Neural Networks

Mar 07, 2018
Ke Yan, Le Lu, Ronald M. Summers

* Oral presentation in ISBI18 

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