Researcher

Ronald M. Summers

Also known as Ronald Marc Summers

Ronald Summers is a radiologist at the NIH Clinical Center whose lab applies deep learning and computer-aided detection to medical images and releases large public image datasets for training diagnostic AI. After an MD and PhD at the University of Pennsylvania in 1988, a radiology residency at the University of Michigan and an MRI fellowship at Duke, he joined the NIH Clinical Center in 1994 and received the Presidential Early Career Award for Scientists and Engineers in 2000. He was first author of a 2005 Gastroenterology study of computer-aided polyp detection on CT virtual colonoscopy, and his lab released more than 100,000 chest X-ray images in 2017 and the DeepLesion CT dataset in July 2018. In July 2025, he served as a general chair and program chair of the MIDL conference, and he received the NIH Director's Award in 2026. He is a Senior Investigator who directs the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory.

Now at
Radiology and Imaging Sciences Department
Works
754
Citations
39,146
h-index
89

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1981–1994

    Penn, Michigan and Duke training

    He earns a BA in physics at the University of Pennsylvania in 1981 and an MD and PhD in Medicine/Anatomy and Cell Biology there in 1988. He completes a radiology residency at the University of Michigan in Ann Arbor from 1989 to 1993 and an MRI fellowship at Duke University from 1993 to 1994.

  2. 1994

    Joining the NIH Clinical Center

    In 1994, he joins the Radiology and Imaging Sciences Department at the NIH Clinical Center in Bethesda, Maryland, where he works as a tenured Senior Investigator and Staff Radiologist.

  3. 2000

    A presidential early career award

    He receives the Presidential Early Career Award for Scientists and Engineers in 2000, presented by Dr. Neal Lane, President Clinton's science advisor.

  4. 2005

    Computer-aided virtual colonoscopy

    In 2005, he is first author of a Gastroenterology study that tests a computer-aided polyp detection program on CT virtual colonoscopy in 1,186 screening patients at three medical centers. The program's per-patient sensitivity is comparable to that of optical colonoscopy for adenomas of 8 mm or larger.

  5. 2016

    Deep networks for computer-aided detection

    In February 2016, he is one of nine authors of an arXiv paper on deep convolutional neural networks for computer-aided detection. It compares CNN architectures, dataset scale and transfer learning from ImageNet on lymph node detection and interstitial lung disease classification, and reports 85% sensitivity at 3 false positives per patient for mediastinal lymph nodes.

  6. 2017–2018

    Public chest X-ray and CT datasets

    In 2017, his lab releases 100,000 anonymized chest X-ray images from 30,000 patients, so that researchers can teach computers to detect and diagnose disease. In July 2018, the lab introduces DeepLesion in the Journal of Medical Imaging, a CT dataset of 32,735 lesions from 4,427 patients, with Summers as senior author. He gives the keynote at the inaugural MIDL conference in 2018.

  7. 2025–2026

    MIDL chair and NIH Director's Award

    In July 2025, he co-chairs the organizing and program committees of the Medical Imaging with Deep Learning (MIDL) conference, as a general chair and a program chair. In 2026, he receives the NIH Director's Award.

  8. As of October 2026

    Senior Investigator at NIH

    He is a Senior Investigator and Staff Radiologist at the NIH Clinical Center, where he directs the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory. He is the former founding Chief of the NIH Clinical Image Processing Service, has co-authored over 700 articles and is a co-inventor on 17 patents.

Career

  1. Since 1994National Institutes of HealthSenior Investigator and Staff Radiologist
  2. NowRadiology and Imaging Sciences DepartmentDirector
  3. 2019–2023University of Wisconsin–Madison

Education

  1. 1994Duke UniversityMRI Fellow
  2. 1993University of MichiganRadiology Resident
  3. 1988University of PennsylvaniaMD and PhD in Medicine/Anatomy and Cell Biology
  4. 1981University of PennsylvaniaBA in physics

Most-cited works

  1. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning2016 · IEEE Transactions on Medical Imaging · 5,748 citations
  2. The Medical Segmentation Decathlon2022 · Nature Communications · 1,362 citationsWith Bram van Ginneken, Klaus Maier-Hein, Lena Maier-Hein, Olaf Ronneberger and Sebastien Ourselin
  3. Preparing Medical Imaging Data for Machine Learning2020 · Radiology · 1,014 citations
  4. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation2015 · Lecture notes in computer science · 777 citations
  5. Deep learning in medical imaging and radiation therapy2018 · Medical Physics · 742 citationsWith Maryellen Lissak Giger

Sources and credits

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  1. Ronald M. Summers, M.D., Ph.D. | Principal Investigators | NIH Intramural Research Program irp.nih.gov. Checked 20 October 2026.
  2. Ronald Summers - Wikipedia en.wikipedia.org. Checked 20 October 2026.
  3. Computed Tomographic Virtual Colonoscopy Computer-Aided Polyp Detection in a Screening Population pmc.ncbi.nlm.nih.gov. Checked 20 October 2026.
  4. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning arxiv.org. Checked 20 October 2026.
  5. Research Briefs | NIH Intramural Research Program irp.nih.gov. Checked 20 October 2026.
  6. NIH Clinical Center Releases CT Image Dataset - Health IT - Hospimedica.com hospimedica.com. Checked 20 October 2026.
  7. Organization | MIDL 2025 2025.midl.io. Checked 20 October 2026.