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ORCIDRonald M. Summers
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2020 – today
- 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) - [c227]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 - [c226]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 - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - 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) - [c225]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. ISBI 2022: 1-5 - [c224]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 - [c223]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 - [c222]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 - [c221]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 - [c220]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 - [c219]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) - [c218]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 - [c217]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 - [c216]Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. MICCAI (3) 2021: 282-292 - [c215]Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) 2021: 293-303 - [c214]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 - [c213]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 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 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) - [c212]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 - [c211]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-Segmentation on Ct Scans. ISBI 2020: 203-206 - [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]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: 379-389 - [c207]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. MICCAI (4) 2020: 512-522 - [c206]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. MICCAI (4) 2020: 573-583 - [c205]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: 710-719 - [i65]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation. CoRR abs/2001.08590 (2020) - [i64]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-segmentation on CT Scans. CoRR abs/2001.09174 (2020) - [i63]Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Accurately identifying vertebral levels in large datasets. CoRR abs/2001.10503 (2020) - [i62]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone Suppression on Chest Radiographs With Adversarial Learning. CoRR abs/2002.03073 (2020) - [i61]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 abs/2003.08119 (2020) - [i60]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 abs/2005.11384 (2020) - [i59]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 abs/2006.06177 (2020) - [i58]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 abs/2006.16741 (2020) - [i57]Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert:
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR abs/2007.05993 (2020) - [i56]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 abs/2007.07230 (2020) - [i55]Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers:
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR abs/2007.08674 (2020) - [i54]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. CoRR abs/2007.09791 (2020) - [i53]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. CoRR abs/2007.11087 (2020) - [i52]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 abs/2008.09104 (2020)
2010 – 2019
- 2019
- [c204]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: 8523-8532 - [c203]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. ICHI 2019: 1-5 - [c202]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. ISBI 2019: 285-288 - [c201]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: 780-783 - [c200]Paras Mehta, Veit Sandfort, Daan Gheysens, Gert-Jan Braeckevelt, Jonathan Berte, Ronald M. Summers:
Segmenting The Kidney On CT Scans Via Crowdsourcing. ISBI 2019: 829-832 - [c199]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers:
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. ISBI 2019: 833-836 - [c198]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. ISBI 2019: 1358-1361 - [c197]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: 109501L - [c196]Youbao Tang, Sooyoun Oh, Yuxing Tang, Jing Xiao, Ronald M. Summers:
CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation. Medical Imaging: Computer-Aided Diagnosis 2019: 109503V - [c195]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: 1095018 - [c194]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: 194-202 - [c193]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays. MICCAI (6) 2019: 431-440 - [c192]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: 457-467 - [p10]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Tumor Growth Prediction Using Convolutional Networks. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 239-260 - [p9]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 369-392 - [p8]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 393-412 - [p7]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 413-435 - [i51]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers:
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. CoRR abs/1901.06359 (2019) - [i50]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 abs/1902.08716 (2019) - [i49]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i48]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. CoRR abs/1903.01505 (2019) - [i47]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. CoRR abs/1903.02040 (2019) - [i46]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. CoRR abs/1904.04661 (2019) - [i45]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 abs/1904.09229 (2019) - [i44]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 abs/1904.13018 (2019) - [i43]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. CoRR abs/1908.04373 (2019) - [i42]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays. CoRR abs/1908.07926 (2019) - [i41]Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik:
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. CoRR abs/1912.05480 (2019) - [i40]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 abs/1912.09278 (2019) - 2018
- [j53]Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [j52]Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers:
An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 253-258 (2018) - [j51]Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Anal. 45: 94-107 (2018) - [j50]Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. IEEE Trans. Medical Imaging 37(2): 638-648 (2018) - [c191]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. CVPR 2018: 9049-9058 - [c190]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. CVPR 2018: 9261-9270 - [c189]Ke Yan, Le Lu, Ronald M. Summers:
Unsupervised body part regression via spatially self-ordering convolutional neural networks. ISBI 2018: 1022-1025 - [c188]Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers:
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. ISBI 2018: 1092-1095 - [c187]Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao:
Self-learning to detect and segment cysts in lung CT images without manual annotation. ISBI 2018: 1100-1103 - [c186]Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao:
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. ISBI 2018: 1230-1233 - [c185]Jianhua Yao,