Ronald M. Summers

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 229

Top Venues

CoRR

ISBI

Medical Imaging: Computer-Aided Diagnosis

Medical Image Anal.

Publications

Benjamin Hou, Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study. CoRR (2024)
David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT. CoRR (2024)
Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers
Weakly-Supervised Detection of Bone Lesions in CT. CoRR (2024)
Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers
Universal detection and segmentation of lymph nodes in multi-parametric MRI. Int. J. Comput. Assist. Radiol. Surg. 19 (1) (2024)
Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman, Sally L. Baxter, Subhi J. Al'Aref, Yijia Li, Michael F. Chiang, Yifan Peng, Zhiyong Lu
Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. CoRR (2024)
Jianfei Liu, Omid Shafaat, Sayantan Bhadra, Christopher Parnell, Ayden Harris, Ronald M. Summers
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior. Int. J. Comput. Assist. Radiol. Surg. 19 (3) (2024)
Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. CoRR (2024)
Andrew M. Nguyen, Jianfei Liu, Tejas Sudharshan Mathai, Peter C. Grayson, Ronald M. Summers
Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study. CoRR (2024)
Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors. CoRR (2024)
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. Medical Image Anal. 91 (2024)
Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks. CoRR (2024)
Jianfei Liu, Omid Shafaat, Ronald M. Summers
A Dual-Branch Network with Mixed and Self-Supervision for Medical Image Segmentation: An Application to Segment Edematous Adipose Tissue. MILLanD@MICCAI (2023)
Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR (2023)
Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision. Comput. Medical Imaging Graph. 108 (2023)
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
Semantic Image Synthesis for Abdominal CT. CoRR (2023)
Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI (2023)
Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD (2023)
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. CoRR (2023)
Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports. CoRR (2023)
Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) (2023)
Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers
Universal lymph node detection in T2 MRI using neural networks. Int. J. Comput. Assist. Radiol. Surg. 18 (2) (2023)
Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision. CoRR (2023)
Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. MICCAI (5) (2023)
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR (2023)
M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR (2023)
Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR (2023)
Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. AMAI@MICCAI (2023)
Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR (2023)
Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers
Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography. CoRR (2023)
Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor. CoRR (2022)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. ISBI (2022)
Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132 (2022)
Seung Yeon Shin, Ronald M. Summers
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations. MICCAI (5) (2022)
Seung Yeon Shin, Ronald M. Summers
Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations. CoRR (2022)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. CoRR (2022)
Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI (2022)
Varun Naga, Tejas Sudharshan Mathai, Angshuman Paul, Ronald M. Summers
Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training. MILLanD@MICCAI (2022)
Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. Medical Image Anal. 77 (2022)
Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI (2022)
Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers
Universal Lymph Node Detection in T2 MRI using Neural Networks. CoRR (2022)
Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. CoRR (2022)
Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. AMAI@MICCAI (2022)
Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR (2022)
Peter D. Erickson, Tejas Sudharshan Mathai, Ronald M. Summers
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT. MILLanD@MICCAI (2022)
Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. IEEE Trans. Big Data 7 (1) (2021)
Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. MLMI@MICCAI (2021)
Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Lymph Node Detection in T2 MRI with Transformers. CoRR (2021)
Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. ISBI (2021)
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
The Medical Segmentation Decathlon. CoRR (2021)
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR (2021)
Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL (2021)
Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
Common Limitations of Image Processing Metrics: A Picture Story. CoRR (2021)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. MICCAI (3) (2021)
Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. MLMI@MICCAI (2021)
Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers
Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Anal. 68 (2021)
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) (2021)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans. CoRR (2021)
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. Medical Image Anal. 67 (2021)
Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging 40 (10) (2021)
Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers
Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles. CoRR (2021)
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109 (5) (2021)
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. MICCAI (4) (2020)
Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation. CoRR (2020)
Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature. CoRR (2020)
Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers
Bone Suppression on Chest Radiographs With Adversarial Learning. CoRR (2020)
Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection. CoRR (2020)
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
The future of digital health with federated learning. npj Digit. Medicine 3 (2020)
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. MICCAI (2) (2020)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR (2020)
Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
Weakly Supervised Lesion Co-Segmentation on Ct Scans. ISBI (2020)
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. CoRR (2020)
Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers
Automated abnormality classification of chest radiographs using deep convolutional neural networks. npj Digit. Medicine 3 (2020)
Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging 39 (4) (2020)
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model. CoRR (2020)
Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
Automatic recognition of abdominal lymph nodes from clinical text. ClinicalNLP@EMNLP (2020)
Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers
One Click Lesion RECIST Measurement and Segmentation on CT Scans. MICCAI (4) (2020)
Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
Accurately identifying vertebral levels in large datasets. CoRR (2020)
Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers
One Click Lesion RECIST Measurement and Segmentation on CT Scans. CoRR (2020)
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR (2020)
Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
Weakly Supervised Lesion Co-segmentation on CT Scans. CoRR (2020)
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. MICCAI (4) (2020)
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR (2020)
Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR (2020)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) (2020)
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
The Future of Digital Health with Federated Learning. CoRR (2020)
Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Veit Sandfort, Ronald M. Summers
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection. ISBI (2019)
Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. CoRR (2019)
Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans. Medical Imaging: Computer-Aided Diagnosis (2019)
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
Deep adversarial one-class learning for normal and abnormal chest radiograph classification. Medical Imaging: Computer-Aided Diagnosis (2019)
Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. CoRR (2019)
Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. MICCAI (6) (2019)
Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. CoRR (2019)
Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. CVPR (2019)
Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
A self-attention based deep learning method for lesion attribute detection from CT reports. CoRR (2019)
Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. CoRR (2019)
Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. MIDL (2019)
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. CoRR (2019)
Paras Mehta, Veit Sandfort, Daan Gheysens, Gert-Jan Braeckevelt, Jonathan Berte, Ronald M. Summers
Segmenting The Kidney On CT Scans Via Crowdsourcing. ISBI (2019)

Ronald M. Summers.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ronald M. Summers