Ronald M. Summers

National Institutes of Health Clinical Center

MedicineEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

12.4Author DataRank

Indexed papers

6in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 6 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9

Top 3%

6.9DataRank

Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Papers

Driven by 124 papers — median percentile 64. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z

N/A

9.2DataRank · unranked

411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9

Top 3%

6.9DataRank

Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature

IEEE Transactions on Big Data(2020)10.1109/tbdata.2020.3035935

Top 6%

3.6DataRank

Top 6%89 citations

Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, ZHIYONG LU +1 more

Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities

PET Clinics(2021)10.1016/j.cpet.2021.09.009

N/A

1.8DataRank · unranked

56 citations

Faraz Farhadi, Michael Morris, Moozhan Nikpanah, Arman Rahmim, Yanji Xu +7 more

Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis

Radiology Artificial Intelligence(2022)10.1148/ryai.210268

Top 16%

1.3DataRank

Top 16%42 citations

Daniel C. Elton, Alexander H. Yang, Christopher Koh, David E. Kleiner, Meghan G. Lubner +3 more

The future of digital health with federated learning

npj Digital Medicine(2020)10.1038/s41746-020-00323-1

N/A

1.2DataRank · unranked

2696 citations

Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni +12 more

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

Proceedings of the IEEE(2021)10.1109/jproc.2021.3054390

N/A

1.0DataRank · unranked

1041 citations

Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi +4 more

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

Nature Communications(2020)10.1038/s41467-020-17971-2

N/A

0.958DataRank · unranked

593 citations

Thomas Sanford, Sheng Xu, Evrim Türkbey, Holger R. Roth, Ziyue Xu +34 more

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0

N/A

0.783DataRank · unranked

184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults

Radiology(2023)10.1148/radiol.222008

N/A

0.721DataRank · unranked

121 citations

Yves Horsmans, Ronald M. Summers, Isabelle Leclercq, Perry J. Pickhardt, Maxime Nachit

Trustworthy Artificial Intelligence in Medical Imaging

PET Clinics(2021)10.1016/j.cpet.2021.09.007

N/A

0.673DataRank · unranked

88 citations

Michael Morris, Arman Rahmim, Ronald M. Summers, Elizabeth C. Jones, Eliot L. Siegel +2 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653

N/A

0.621DataRank · unranked

62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

Artificial Intelligence in Lymphoma PET Imaging

PET Clinics(2021)10.1016/j.cpet.2021.09.006

N/A

0.601DataRank · unranked

54 citations

Sriram S. Paravastu, Faraz Farhadi, Fereshteh Yousefirizi, Michael Morris, Arman Rahmim +4 more

Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans

Academic Radiology(2020)10.1016/j.acra.2020.08.022

N/A

0.581DataRank · unranked

47 citations

Daniel C. Elton, Sungwon Lee, Yingying Zhu, Jiamin Liu, Mohammedhadi Bagheri +10 more

Association between Abdominal CT Measurements of Body Composition before Deceased Donor Liver Transplant with Posttransplant Outcomes

Radiology(2022)10.1148/radiol.212403

N/A

0.574DataRank · unranked

45 citations

Yi Liu, Kyle R. Jackson, Jennifer D. Motter, Brian J. Boyarsky, Muhammad Latif +9 more

Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports

Lecture notes in computer science(2023)10.1007/978-3-031-43904-9_19

N/A

0.500DataRank · unranked

27 citations

Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, ZHIYONG LU +1 more

AI and machine learning in medical imaging: key points from development to translation

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae006

N/A

0.494DataRank · unranked

26 citations

Karen Drukker, Amita Shukla‐Dave, Heang‐Ping Chan, Berkman Sahiner, Nicholas Petrick +19 more

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification

Medical Image Analysis(2024)10.1016/j.media.2024.103383

N/A

0.412DataRank · unranked

6 citations

Pritam Mukherjee, Ronald M. Summers, Ricardo Bigolin Lanfredi

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?

Lecture notes in computer science(2023)10.1007/978-3-031-43904-9_64

N/A

0.360DataRank · unranked

10 citations

Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto +10 more

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

PubMed(2024)10.48550/arxiv.2401.08396

N/A

0.355DataRank · unranked

2 citations

Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert F. Chen +13 more

Body location embedded 3D U-Net (BLE-U-Net) for ovarian cancer ascites segmentation on CT scans

PubMed(2023)10.1117/12.2669783

N/A

0.332DataRank · unranked

4 citations

Jianfei Liu, Liangchen Liu, Seungyeon Shin, Sungon Lee, Jung-Mih Lee +2 more

Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior

International Journal of Computer Assisted Radiology and Surgery(2024)10.1007/s11548-023-03051-5

N/A

0.330DataRank · unranked

8 citations

Omid Shafaat, Sayantan Bhadra, Christopher Parnell, Ayden Harris, Ronald M. Summers +1 more

Universal lymph node detection in T2 MRI using neural networks

International Journal of Computer Assisted Radiology and Surgery(2022)10.1007/s11548-022-02782-1

N/A

0.312DataRank · unranked

7 citations

Sungwon Lee, Thomas C. Shen, ZHIYONG LU, Ronald M. Summers, Tejas Sudharshan Mathai

Fully Automated and Explainable Measurement of Liver Surface Nodularity in CT: Utility for Staging Hepatic Fibrosis

Academic Radiology(2024)10.1016/j.acra.2024.09.050

N/A

0.292DataRank · unranked

6 citations

Meghan G. Lubner, Perry J. Pickhardt, Ronald M. Summers, Tejas Sudharshan Mathai

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.

Radiology(2024)10.1148/radiol.241979

Top 57%

0.278DataRank

Top 57%4 citations

Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou +4 more

A Dual-Branch Network with Mixed and Self-Supervision for Medical Image Segmentation: An Application to Segment Edematous Adipose Tissue

Lecture notes in computer science(2023)10.1007/978-3-031-44917-8_15

N/A

0.269DataRank · unranked

5 citations

Omid Shafaat, Ronald M. Summers, Jianfei Liu

Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor

PubMed(2023)10.1117/12.2651979

N/A

0.269DataRank · unranked

5 citations

Thomas C. Shen, Stephen A. Wank, Ronald M. Summers, Seung Yeon Shin

Improving segmentation and detection of lesions in CT scans using intensity distribution supervision

Computerized Medical Imaging and Graphics(2023)10.1016/j.compmedimag.2023.102259

N/A

0.241DataRank · unranked

4 citations

Thomas C. Shen, Ronald M. Summers, Seung Yeon Shin

Unsupervised multi-parametric MRI registration using neural optimal transport

PubMed(2024)10.1117/12.3006289

N/A

0.241DataRank · unranked

4 citations

Tejas Sudharshan Mathai, Ronald M. Summers, Boah Kim

Assessment of Aortoiliac Atherosclerotic Plaque on CT in Prostate Cancer Patients Undergoing Treatment

Tomography(2022)10.3390/tomography8020050

Top 63%

0.215DataRank

Top 63%3 citations

Daniel C. Elton, James L. Gulley, Perry J. Pickhardt, William L. Dahut, Ravi A. Madan +4 more

Longitudinal follow-up of incidental renal calculi on computed tomography

Abdominal Radiology(2023)10.1007/s00261-023-04075-w

N/A

0.208DataRank · unranked

3 citations

Sungwon Lee, Daniel C. Elton, Perry J. Pickhardt, Ronald M. Summers, Pritam Mukherjee

Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques

Radiology Artificial Intelligence(2024)10.1148/ryai.230560

N/A

0.208DataRank · unranked

3 citations

Ronald M. Summers, Abhinav Suri

Automated plaque detection and Agatston score estimation on non-contrast CT scans: a multicenter study

PubMed(2024)10.1117/12.3008750

N/A

0.208DataRank · unranked

3 citations

Jianfei Liu, Tejas Sudharshan Mathai, Peter C. Grayson, Ronald M. Summers, Andrew Nguyen

Automated Classification of Multi-Parametric Body MRI Series

PubMed(2024)10.1109/isbi56570.2024.10635686

N/A

0.165DataRank · unranked

2 citations

Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers, Boah Kim

Weakly-supervised detection of bone lesions in CT

PubMed(2024)10.1117/12.3008823

N/A

0.165DataRank · unranked

2 citations

Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers, Tao Sheng

Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans

Computerized Medical Imaging and Graphics(2024)10.1016/j.compmedimag.2024.102458

N/A

0.104DataRank · unranked

1 citations

Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai +4 more

Radiologic reporting of MRI-proven thoracolumbar epidural metastases on body CT: 12-Year single-institution experience

Clinical Imaging(2023)10.1016/j.clinimag.2023.06.025

N/A

0.104DataRank · unranked

1 citations

Divya Narayanan, Jiamin Liu, Puskar Pattanayak, Evrim Türkbey, Thomas C. Shen +4 more

Automated Assessment of Renal Calculi in Serial Computed Tomography Scans

Lecture notes in computer science(2022)10.1007/978-3-031-17721-7_5

N/A

0.104DataRank · unranked

1 citations

Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers, Pritam Mukherjee

Weakly-supervised lesion segmentation on CT scans using co-segmentation

Medical Imaging 2020: Computer-Aided Diagnosis(2020)10.1117/12.2551106

N/A

0.104DataRank · unranked

1 citations

Youbao Tang, Jing Xiao, Ronald M. Summers, Vatsal Agarwal

Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images

Lecture notes in computer science(2023)10.1007/978-3-031-47076-9_7

N/A

0DataRank · unranked

2 citations

A. Jha, Pritam Mukherjee, Mayank Patel, Ronald M. Summers, Bikash Santra

RAISE -- Radiology AI Safety, an End-to-end lifecycle approach

arXiv (Cornell University)(2023)10.48550/arxiv.2311.14570

N/A

0DataRank · unranked

1 citations

Julia Moosbauer, Tessa S. Cook, Barbaros S. Erdal, Brad Genereaux, Vikas Gupta +9 more

How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

arXiv (Cornell University)(2023)10.48550/arxiv.2308.09180

N/A

0DataRank · unranked

0 citations

Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto +10 more

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

PubMed(2023)10.48550/arxiv.2310.16112

Top 100%

0DataRank

Top 100%0 citations

Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge +20 more

Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography

arXiv (Cornell University)(2023)10.48550/arxiv.2311.13100

N/A

0DataRank · unranked

0 citations

Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers, Andrew Nguyen

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

npj Digital Medicine(2024)10.1038/s41746-024-01185-7

N/A

0DataRank · unranked

120 citations

Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert F. Chen +13 more

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

BJR|Artificial Intelligence(2024)10.1093/bjrai/ubae003

N/A

0DataRank · unranked

38 citations

Amita Shukla‐Dave, Heang‐Ping Chan, Karen Drukker, Ravi K. Samala, Quan Chen +20 more

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Medical Image Analysis(2024)10.1016/j.media.2024.103224

N/A

0DataRank · unranked

37 citations

Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge +20 more

AI-based opportunistic quantitative image analysis of lung cancer screening CTs to reduce disparities in osteoporosis screening

Bone(2024)10.1016/j.bone.2024.117176

N/A

0DataRank · unranked

18 citations

Katherine M. Bunnell, John W. Garrett, Efrén J. Flores, Ronald M. Summers, Perry J. Pickhardt +2 more

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification

Radiology Artificial Intelligence(2024)10.1148/ryai.230601

N/A

0DataRank · unranked

13 citations

Sungwon Lee, Jung‐Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt +2 more

OTMorph: Unsupervised Multi-Domain Abdominal Medical Image Registration Using Neural Optimal Transport

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3437295

N/A

0DataRank · unranked

13 citations

Yan Zhuang, Tejas Sudharshan Mathai, Ronald M. Summers, Boah Kim

Segmentation of mediastinal lymph nodes in CT with anatomical priors

International Journal of Computer Assisted Radiology and Surgery(2024)10.1007/s11548-024-03165-4

N/A

0DataRank · unranked

11 citations

Bohan Liu, Ronald M. Summers, Tejas Sudharshan Mathai

Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study

International Journal of Computer Assisted Radiology and Surgery(2024)10.1007/s11548-024-03167-2

N/A

0DataRank · unranked

11 citations

Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers, Benjamin Hou

A Comparison of CT-Based Pancreatic Segmentation Deep Learning Models

Academic Radiology(2024)10.1016/j.acra.2024.06.015

N/A

0DataRank · unranked

11 citations

Pritam Mukherjee, Perry J. Pickhardt, Ronald M. Summers, Abhinav Suri

Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis

Computerized Medical Imaging and Graphics(2024)10.1016/j.compmedimag.2024.102335

N/A

0DataRank · unranked

10 citations

Tejas Sudharshan Mathai, Pritam Mukherjee, Ronald M. Summers, Yan Zhuang

Classification of Multi-Parametric Body MRI Series Using Deep Learning

IEEE Journal of Biomedical and Health Informatics(2024)10.1109/jbhi.2024.3448373

N/A

0DataRank · unranked

9 citations

Tejas Sudharshan Mathai, Kimberly Helm, Peter Pinto, Ronald M. Summers, Boah Kim

Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data

Computerized Medical Imaging and Graphics(2024)10.1016/j.compmedimag.2024.102419

N/A

0DataRank · unranked

3 citations

Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha +4 more

Automated Classification of Body MRI Sequences Using Convolutional Neural Networks

Academic Radiology(2024)10.1016/j.acra.2024.11.046

N/A

0DataRank · unranked

3 citations

Tejas Sudharshan Mathai, Kimberly Helm, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers +1 more

Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation

International Journal of Computer Assisted Radiology and Surgery(2024)10.1007/s11548-024-03262-4

N/A

0DataRank · unranked

2 citations

Jianfei Liu, Ronald M. Summers, Sayantan Bhadra

Detection of abdominopelvic lymph nodes in multi-parametric MRI

Computerized Medical Imaging and Graphics(2024)10.1016/j.compmedimag.2024.102363

N/A

0DataRank · unranked

2 citations

Thomas C. Shen, Daniel C. Elton, Sungwon Lee, ZHIYONG LU, Ronald M. Summers +1 more

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports

PubMed(2024)10.1109/ichi61247.2024.00058

N/A

0DataRank · unranked

12 citations

Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee +4 more

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

PubMed(2024)10.48550/arxiv.2401.16578

N/A

0DataRank · unranked

5 citations

Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee +4 more

Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors

arXiv (Cornell University)(2024)10.48550/arxiv.2401.06272

N/A

0DataRank · unranked

2 citations

Bohan Liu, Ronald M. Summers, Tejas Sudharshan Mathai

Self and mixed supervision to improve training labels for multi-class medical image segmentation

PubMed(2024)10.1117/12.3008782

N/A

0DataRank · unranked

2 citations

Christopher Parnell, Ronald M. Summers, Jianfei Liu

Weakly supervised detection of pheochromocytomas and paragangliomas in CT

PubMed(2024)10.1117/12.3008833

N/A

0DataRank · unranked

2 citations

Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha +4 more

Entry-level guide to the use of large language models for medical research

PubMed(2024)10.48550/arxiv.2410.18856

N/A

0DataRank · unranked

2 citations

Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang +18 more

Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical Imaging

Journal of Medical Imaging(2024)10.1117/1.jmi.10.6.061101

N/A

0DataRank · unranked

0 citations

Rui Carlos Sá, Ronald M. Summers, Heather M. Whitney, Judy Wawira Gichoya

Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study

PubMed(2024)10.48550/arxiv.2401.05294

N/A

0DataRank · unranked

0 citations

Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers, Benjamin Hou

Weakly-Supervised Detection of Bone Lesions in CT

arXiv (Cornell University)(2024)10.48550/arxiv.2402.00175

N/A

0DataRank · unranked

0 citations

Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers, Tao Sheng

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks

PubMed(2024)10.48550/arxiv.2402.08098

N/A

0DataRank · unranked

0 citations

Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers +1 more

Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT

arXiv (Cornell University)(2024)10.48550/arxiv.2402.08697

N/A

0DataRank · unranked

0 citations

Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha +4 more

Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study

arXiv (Cornell University)(2024)10.48550/arxiv.2402.09569

N/A

0DataRank · unranked

0 citations

Jianfei Liu, Tejas Sudharshan Mathai, Peter C. Grayson, Ronald M. Summers, Andrew Nguyen

Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2403.03882

N/A

0DataRank · unranked

0 citations

Christopher Parnell, Ronald M. Summers, Jianfei Liu

Weakly supervised learning for subcutaneous edema segmentation of abdominal CT using pseudo-labels and multi-stage nnU-Nets

PubMed(2024)10.1117/12.3008793

N/A

0DataRank · unranked

0 citations

Jianfei Liu, Ronald M. Summers, Sayantan Bhadra

Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity

Nature Communications(2025)10.1038/s41467-025-56741-w

N/A

0DataRank · unranked

27 citations

Michael W. Kattan, Matthew H. Lee, B. Dustin Pooler, Ayis Pyrros, Daniel Liu +4 more

One Year On: Assessing Progress of Multimodal Large Language Model Performance on RSNA 2024 Case of the Day Questions

Radiology(2025)10.1148/radiol.250617

N/A

0DataRank · unranked

11 citations

Pritam Mukherjee, Vivek Batheja, Kenneth C. Wang, Ronald M. Summers, ZHIYONG LU +1 more

A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)

Computerized Medical Imaging and Graphics(2025)10.1016/j.compmedimag.2025.102517

N/A

0DataRank · unranked

8 citations

Sayantan Bhadra, Omid Shafaat, Pritam Mukherjee, Christopher Parnell, Ronald M. Summers +1 more

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104864

N/A

0DataRank · unranked

7 citations

Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen +5 more

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray

Medical Image Analysis(2025)10.1016/j.media.2025.103739

N/A

0DataRank · unranked

6 citations

Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee +29 more

Assessing the Reliability of Pancreatic CT Imaging Biomarkers for Diabetes Prediction: A Dual Center Retrospective Study

Academic Radiology(2025)10.1016/j.acra.2025.02.047

N/A

0DataRank · unranked

1 citations

Pritam Mukherjee, Nusrat Rabbee, Perry J. Pickhardt, Ronald M. Summers, Abhinav Suri

Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation

arXiv (Cornell University)(2025)10.48550/arxiv.2501.14013

N/A

0DataRank · unranked

0 citations

Tejas Sudharshan Mathai, Boah Kim, Ronald M. Summers, Xinya Wang

Improved muscle and fat segmentation for body composition measures on quantitative CT

International Journal of Computer Assisted Radiology and Surgery(2025)10.1007/s11548-025-03466-2

N/A

0DataRank · unranked

0 citations

Praveen Thoppey Srinivasan Balamuralikrishna, Sovira Tan, Pritam Mukherjee, Tejas Sudharshan Mathai, Perry J. Pickhardt +2 more

Size-Controllable Tumor Synthesis for Improved Detection of Small Bowel Carcinoid Tumors in CT Scans

IEEE Access(2025)10.1109/access.2025.3600672

N/A

0DataRank · unranked

0 citations

Stephen A. Wank, Ronald M. Summers, Seung Yeon Shin

Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation

arXiv (Cornell University)(2025)10.48550/arxiv.2504.05196

N/A

0DataRank · unranked

0 citations

Sungwon Lee, Thomas C. Shen, ZHIYONG LU, Ronald M. Summers, Tejas Sudharshan Mathai

3D Universal Lesion Detection and Tagging in CT with Self-Training

arXiv (Cornell University)(2025)10.48550/arxiv.2504.05201

N/A

0DataRank · unranked

0 citations

Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers, Jared Frazier

Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT

arXiv (Cornell University)(2025)10.48550/arxiv.2504.06921

N/A

0DataRank · unranked

0 citations

Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers, Prasad, Anisa V.

Longitudinal Assessment of Lung Lesion Burden in CT

arXiv (Cornell University)(2025)10.48550/arxiv.2504.06924

N/A

0DataRank · unranked

0 citations

Benjamin Hou, Ronald M. Summers, Tejas Sudharshan Mathai

Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30025-x

N/A

0DataRank · unranked

199 citations

Peter M. Graffy, Ryan Zea, Scott Lee, Jiamin Liu, Veit Sandfort +2 more

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190043

N/A

0DataRank · unranked

471 citations

Raphael Meier, Sérgio Pereira, Carlos A. Silva, Fried-Michael Dahlweid, Hendrik von Tengg‐Kobligk +3 more

Automated abnormality classification of chest radiographs using deep convolutional neural networks

npj Digital Medicine(2020)10.1038/s41746-020-0273-z

N/A

0DataRank · unranked

255 citations

Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette Redd +6 more

Multicenter Multireader Evaluation of an Artificial Intelligence–Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI

American Journal of Roentgenology(2020)10.2214/ajr.19.22573

N/A

0DataRank · unranked

52 citations

Stephanie A. Harmon, Joanna H. Shih, Clayton Smith, Nathan Lay, Burak Argun +33 more

Discriminative ensemble learning for few-shot chest x-ray diagnosis

Medical Image Analysis(2020)10.1016/j.media.2020.101911

N/A

0DataRank · unranked

52 citations

Yuxing Tang, Thomas C. Shen, Ronald M. Summers, Angshuman Paul

Weakly Supervised Lesion Co-Segmentation on Ct Scans

arXiv (Cornell University)(2020)10.1109/isbi45749.2020.9098657

N/A

0DataRank · unranked

7 citations

Youbao Tang, Jing Xiao, Ronald M. Summers, Vatsal Agarwal

Automatic recognition of abdominal lymph nodes from clinical text

(2020)10.18653/v1/2020.clinicalnlp-1.12

N/A

0DataRank · unranked

6 citations

Sung-Won Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen +5 more

Bone Suppression on Chest Radiographs With Adversarial Learning

arXiv (Cornell University)(2020)10.48550/arxiv.2002.03073

N/A

0DataRank · unranked

3 citations

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

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

arXiv (Cornell University)(2020)10.48550/arxiv.2007.05993

N/A

0DataRank · unranked

2 citations

Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert +1 more

Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination

Magnetic Resonance in Medicine(2021)10.1002/mrm.28827

N/A

0DataRank · unranked

90 citations

Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert +1 more

Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training

IEEE Transactions on Medical Imaging(2021)10.1109/tmi.2021.3054817

N/A

0DataRank · unranked

43 citations

Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, ZHIYONG LU +2 more

Clinical Artificial Intelligence Applications in Radiology

Radiologic Clinics of North America(2021)10.1016/j.rcl.2021.07.001

N/A

0DataRank · unranked

23 citations

Ronald M. Summers, Sungwon Lee

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642

N/A

0DataRank · unranked

87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI—Radiologists and Data Scientists Working Together

Radiology Artificial Intelligence(2021)10.1148/ryai.2021210248

N/A

0DataRank · unranked

3 citations

Lena Maier‐Hein, Ronald M. Summers, Charles E. Kahn, Marius George Linguraru

Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation

Lecture notes in computer science(2021)10.1007/978-3-030-87199-4_27

N/A

0DataRank · unranked

2 citations

Sungwon Lee, Ronald M. Summers, Seung Yeon Shin

Erratum: Use of Variational Autoencoders with Unsupervised Learning to Detect Incorrect Organ Segmentations at CT

Radiology Artificial Intelligence(2021)10.1148/ryai.2021219002

N/A

0DataRank · unranked

0 citations

Ke Yan, Peter M. Graffy, Perry J. Pickhardt, Ronald M. Summers, Veit Sandfort

A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans

Medical Physics(2022)10.1002/mp.15518

N/A

0DataRank · unranked

127 citations

Evrim Türkbey, Perry J. Pickhardt, Ronald M. Summers, Daniel C. Elton

Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning

Radiology(2022)10.1148/radiol.211914

N/A

0DataRank · unranked

49 citations

Daniel C. Elton, Sungwon Lee, Paul Wakim, Perry J. Pickhardt, Ronald M. Summers +1 more

Robust convolutional neural networks against adversarial attacks on medical images

Pattern Recognition(2022)10.1016/j.patcog.2022.108923

N/A

0DataRank · unranked

46 citations

Yifan Peng, Qingyu Chen, Tiarnán D L Keenan, Alisa T. Thavikulwat, Sungwon Lee +5 more

Differential diagnosis of bone marrow failure syndromes guided by machine learning

Blood(2022)10.1182/blood.2022017518

N/A

0DataRank · unranked

33 citations

Eric Munger, Xiaoyang Ma, Emma M. Groarke, Youbao Tang, Bhavisha A. Patel +33 more

Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images

Medical Image Analysis(2022)10.1016/j.media.2021.102345

N/A

0DataRank · unranked

28 citations

Yingying Zhu, Sung Won Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang +4 more

Fifty years of SPIE Medical Imaging proceedings papers

Journal of Medical Imaging(2022)10.1117/1.jmi.9.s1.012207

N/A

0DataRank · unranked

2 citations

Christoph Hoeschen, Anant Madabhushi, Kyle J. Myers, Thomas M. Deserno, Elizabeth A. Krupinski +5 more

A graph-theoretic algorithm for small bowel path tracking in CT scans

Medical Imaging 2022: Computer-Aided Diagnosis(2022)10.1117/12.2611878

N/A

0DataRank · unranked

7 citations

Sung Won Lee, Ronald M. Summers, Seung Yeon Shin

Graph-Based Small Bowel Path Tracking with Cylindrical Constraints

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)10.1109/isbi52829.2022.9761423

N/A

0DataRank · unranked

4 citations

Sungwon Lee, Ronald M. Summers, Seung Yeon Shin

Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations

Lecture notes in computer science(2022)10.1007/978-3-031-16443-9_53

N/A

0DataRank · unranked

4 citations

Ronald M. Summers, Seung Yeon Shin

SPIE Computer-Aided Diagnosis conference anniversary review

Journal of Medical Imaging(2022)10.1117/1.jmi.9.s1.012208

N/A

0DataRank · unranked

0 citations

Maryellen L. Giger, Ronald M. Summers

Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports

Radiology(2023)10.1148/radiol.231147

N/A

0DataRank · unranked

111 citations

Benjamin Hou, Ricardo Bigolin Lanfredi, Ronald M. Summers, Pritam Mukherjee

Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning

Journal of Endourology(2023)10.1089/end.2023.0066

N/A

0DataRank · unranked

17 citations

Sungwon Lee, Daniel C. Elton, Stephen Y. Nakada, Perry J. Pickhardt, Ronald M. Summers +1 more

Role of Artificial Intelligence in PET/CT Imaging for Management of Lymphoma

Seminars in Nuclear Medicine(2023)10.1053/j.semnuclmed.2022.11.003

N/A

0DataRank · unranked

29 citations

Faraz Farhadi, Navid Hasani, Moozhan Nikpanah, Mark Roschewski, Ronald M. Summers +2 more

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Medical Image Analysis(2023)10.1016/j.media.2023.103022

N/A

0DataRank · unranked

20 citations

Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye, Boah Kim

Automated detection of incidental abdominal aortic aneurysms on computed tomography

Abdominal Radiology(2023)10.1007/s00261-023-04119-1

N/A

0DataRank · unranked

11 citations

Thomas C. Shen, Pritam Mukherjee, Sungwon Lee, John W. Garrett, Nicholas Zacharias +3 more

Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma: A Promising Biomarker for Tumor Recurrence

Radiology(2023)10.1148/radiol.230657

N/A

0DataRank · unranked

12 citations

Ronald M. Summers

Universal detection and segmentation of lymph nodes in multi-parametric MRI

International Journal of Computer Assisted Radiology and Surgery(2023)10.1007/s11548-023-02954-7

N/A

0DataRank · unranked

6 citations

Sungwon Lee, Thomas C. Shen, Daniel C. Elton, ZHIYONG LU, Ronald M. Summers +1 more

Fully‐automated detection of small bowel carcinoid tumors in CT scans using deep learning

Medical Physics(2023)10.1002/mp.16391

N/A

0DataRank · unranked

5 citations

Thomas C. Shen, Stephen A. Wank, Ronald M. Summers, Seung Yeon Shin

Transparency in Radiology and Nuclear Medicine AI Research: Realistic Expectation or Pipedream?

Academic Radiology(2023)10.1016/j.acra.2023.07.026

N/A

0DataRank · unranked

1 citations

Ronald M. Summers

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering

arXiv (Cornell University)(2023)10.1145/3580305.3599819

N/A

0DataRank · unranked

41 citations

Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi +4 more

Automated classification of intravenous contrast enhancement phase of CT scans using residual networks

PubMed(2023)10.1117/12.2655263

N/A

0DataRank · unranked

7 citations

Jianfei Liu, Thomas C. Shen, W. Marston Linehan, Peter A. Pinto, Ronald M. Summers +1 more

Development of multiscale 3D residual U-Net to segment edematous adipose tissue by leveraging annotations from non-edematous adipose tissue

PubMed(2023)10.1117/12.2669719

N/A

0DataRank · unranked

2 citations

Omid Shafaat, Ronald M. Summers, Jianfei Liu

Ronald M. Summers

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