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Ronald M. Summers
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2020 – today
- 2024
- [j76]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): 163-170 (2024) - [j75]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): 443-448 (2024) - [j74]Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers:
Segmentation of mediastinal lymph nodes in CT with anatomical priors. Int. J. Comput. Assist. Radiol. Surg. 19(8): 1537-1544 (2024) - [j73]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. Int. J. Comput. Assist. Radiol. Surg. 19(8): 1589-1596 (2024) - [j72]Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Ronald M. Summers:
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis. Comput. Medical Imaging Graph. 112: 102335 (2024) - [j71]Tejas Sudharshan Mathai, Thomas C. Shen, Daniel C. Elton, Sungwon Lee, Zhiyong Lu, Ronald M. Summers:
Detection of abdominopelvic lymph nodes in multi-parametric MRI. Comput. Medical Imaging Graph. 114: 102363 (2024) - [j70]David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers:
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data. Comput. Medical Imaging Graph. 116: 102419 (2024) - [j69]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: 103022 (2024) - [j68]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. Medical Image Anal. 97: 103224 (2024) - [j67]Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang Zhang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu:
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. 97: 103279 (2024) - [j66]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, Alexander Chen, Josef A. Brejt, Michael F. Chiang, Yifan Peng, Zhiyong Lu:
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. npj Digit. Medicine 7(1) (2024) - [c252]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 AI-generated Radiology Reports. ICHI 2024: 402-411 - [c251]Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated Classification of Multi-Parametric Body MRI Series. ISBI 2024: 1-5 - [c250]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. ISBI 2024: 1-5 - [c249]Pritam Mukherjee, Ronald M. Summers:
AI Fairness in Medical Imaging: Controlling for Disease Severity. FAIMI/EPIMI@MICCAI 2024: 24-33 - [i103]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 abs/2401.05294 (2024) - [i102]Tejas Sudharshan Mathai, Bohan Liu, Ronald M. Summers:
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors. CoRR abs/2401.06272 (2024) - [i101]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 abs/2401.08396 (2024) - [i100]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 abs/2401.16578 (2024) - [i99]Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers:
Weakly-Supervised Detection of Bone Lesions in CT. CoRR abs/2402.00175 (2024) - [i98]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 abs/2402.08098 (2024) - [i97]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 abs/2402.08697 (2024) - [i96]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 abs/2402.09569 (2024) - [i95]Jianfei Liu, Christopher Parnell, Ronald M. Summers:
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation. CoRR abs/2403.03882 (2024) - [i94]Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers:
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification. CoRR abs/2403.04024 (2024) - [i93]Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu:
Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4. CoRR abs/2403.05680 (2024) - [i92]Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers:
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. CoRR abs/2405.05944 (2024) - [i91]Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated classification of multi-parametric body MRI series. CoRR abs/2405.08247 (2024) - [i90]Benjamin Hou, Qingqing Zhu, Tejas Sudarshan Mathai, Qiao Jin, Zhiyong Lu, Ronald M. Summers:
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification. CoRR abs/2406.03688 (2024) - [i89]Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M. Summers:
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. CoRR abs/2406.15979 (2024) - 2023
- [j65]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): 313-318 (2023) - [j64]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: 102259 (2023) - [c248]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: 1-5 - [c247]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: 4156-4165 - [c246]Akshaya Anand, Jianfei Liu, Thomas C. Shen, W. Marston Linehan, Peter A. Pinto, Ronald M. Summers:
Automated classification of intravenous contrast enhancement phase of CT scans using residual networks. Medical Imaging: Computer-Aided Diagnosis 2023 - [c245]Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
3D universal lesion detection and tagging in CT with self-training. Medical Imaging: Computer-Aided Diagnosis 2023 - [c244]Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers:
Universal lymph node detection in multiparametric MRI with selective augmentation. Medical Imaging: Computer-Aided Diagnosis 2023 - [c243]Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers:
Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Medical Imaging: Computer-Aided Diagnosis 2023 - [c242]Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
Correcting class imbalances with self-training for improved universal lesion detection and tagging. Medical Imaging: Computer-Aided Diagnosis 2023 - [c241]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. Medical Imaging: Computer-Aided Diagnosis 2023 - [c240]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: 62-71 - [c239]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: 158-167 - [c238]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: 189-198 - [c237]Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers:
Semantic Image Synthesis for Abdominal CT. DGM4MICCAI 2023: 214-224 - [c236]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: 663-673 - [c235]Ronald M. Summers:
Radiology data warehouses: data preparation and dissemination (Conference Presentation). Medical Imaging: Image Processing 2023 - [i88]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 abs/2302.01790 (2023) - [i87]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 abs/2306.08749 (2023) - [i86]Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers:
Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision. CoRR abs/2307.05804 (2023) - [i85]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 abs/2307.11986 (2023) - [i84]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 abs/2308.00193 (2023) - [i83]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 abs/2308.09180 (2023) - [i82]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 abs/2309.03331 (2023) - [i81]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 abs/2310.16112 (2023) - [i80]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 abs/2311.13100 (2023) - [i79]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 abs/2311.14570 (2023) - [i78]Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers:
Semantic Image Synthesis for Abdominal CT. CoRR abs/2312.06453 (2023) - 2022
- [j63]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: 102345 (2022) - [j62]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: 108923 (2022) - [c234]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. ISBI 2022: 1-5 - [c233]Daniel C. Elton, Andy Chen, Perry J. Pickhardt, Ronald M. Summers:
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning. Medical Imaging: Computer-Aided Diagnosis 2022 - [c232]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. Medical Imaging: Computer-Aided Diagnosis 2022 - [c231]Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers:
Universal lesion detection in CT scans using neural network ensembles. Medical Imaging: Computer-Aided Diagnosis 2022 - [c230]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
A graph-theoretic algorithm for small bowel path tracking in CT scans. Medical Imaging: Computer-Aided Diagnosis 2022 - [c229]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: 22-32 - [c228]Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. AMAI@MICCAI 2022: 39-48 - [c227]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: 55-64 - [c226]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: 121-129 - [c225]Peter D. Erickson, Tejas Sudharshan Mathai, Ronald M. Summers:
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT. MILLanD@MICCAI 2022: 177-186 - [c224]Seung Yeon Shin, Ronald M. Summers:
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations. MICCAI (5) 2022: 549-559 - [i77]Tejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers:
Universal Lymph Node Detection in T2 MRI using Neural Networks. CoRR abs/2204.00622 (2022) - [i76]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 A. 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 M. 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 abs/2206.01653 (2022) - [i75]Seung Yeon Shin, Ronald M. Summers:
Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations. CoRR abs/2206.14847 (2022) - [i74]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. CoRR abs/2207.14436 (2022) - [i73]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 abs/2207.14700 (2022) - [i72]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 abs/2208.13365 (2022) - 2021
- [j61]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: 101839 (2021) - [j60]Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers:
Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Anal. 68: 101911 (2021) - [j59]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): 820-838 (2021) - [j58]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): 3-12 (2021) - [j57]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): 2642-2655 (2021) - [c223]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: 344-348 - [c222]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: 101-109 - [c221]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. MICCAI (3) 2021: 282-292 - [c220]Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) 2021: 293-303 - [c219]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: 682-691 - [c218]Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova:
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. MIDL 2021: 60-73 - [i71]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 abs/2104.05642 (2021) - [i70]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 Arbeláez, 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 abs/2106.05735 (2021) - [i69]Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR abs/2107.02104 (2021) - [i68]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans. CoRR abs/2110.00466 (2021) - [i67]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 abs/2111.04885 (2021) - [i66]Tarun Mattikalli, Tejas Sudharshan Mathai, Ronald M. Summers:
Universal Lesion Detection in CT Scans using NeuralNetwork Ensembles. CoRR abs/2111.04886 (2021) - 2020
- [j56]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) - [j55]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) - [j54]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): 1114-1126 (2020) - [c217]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: 101-110 - [c216]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-Segmentation on Ct Scans. ISBI 2020: 203-206 - [c215]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-supervised lesion segmentation on CT scans using co-segmentation. Medical Imaging: Computer-Aided Diagnosis 2020 - [c214]Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Accurately identifying vertebral levels in large datasets. Medical Imaging: Computer-Aided Diagnosis 2020 - [c213]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone suppression on chest radiographs with adversarial learning. Medical Imaging: Computer-Aided Diagnosis 2020 - [c212]Angshuman Paul, Yuxing Tang, Ronald M. Summers:
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. Medical Imaging: Computer-Aided Diagnosis 2020 - [c211]Sai Aditya Sriram, Angshuman Paul, Yingying Zhu, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. Medical Imaging: Computer-Aided Diagnosis 2020 - [c210]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: 103-111 - [c209]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: 207-215 - [c208]