Ronald M. Summers

Research.com Recognitions

• 2019 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Best Publications

• Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

  Hoo-Chang Shin;Holger R. Roth;Mingchen Gao;Le Lu

  6037
  Citations

• ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

  Xiaosong Wang;Yifan Peng;Le Lu;Zhiyong Lu

  5810
  Citations

• The future of digital health with federated learning

  Nicola Rieke;Nicola Rieke;Jonny Hancox;Wenqi Li;Fausto Milletari

  3688
  Citations

• Polyp Size Measurement at CT Colonography: What Do We Know and What Do We Need to Know?

  Ronald M. Summers

  2152
  Citations

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

  S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  1545
  Citations

• The Medical Segmentation Decathlon

  Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  1098
  Citations

• Preparing Medical Imaging Data for Machine Learning.

  Martin J. Willemink;Wojciech A. Koszek;Cailin Hardell;Jie Wu

  884
  Citations

• A large annotated medical image dataset for the development and evaluation of segmentation algorithms

  Amber L. Simpson;Michela Antonelli;Spyridon Bakas;Michel Bilello

  883
  Citations

• DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

  Holger R. Roth;Le Lu;Amal Farag;Hoo-Chang Shin

  803
  Citations

• Machine learning and radiology

  Shijun Wang;Ronald M. Summers

  799
  Citations

• Deep learning in medical imaging and radiation therapy.

  Berkman Sahiner;Aria Pezeshk;Lubomir M. Hadjiiski;Xiaosong Wang

  779
  Citations

• Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation

  Holger R. Roth;Le Lu;Jiamin Liu;Jianhua Yao

  663
  Citations

• DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

  Ling Zhang;Le Lu;Isabella Nogues;Ronald M. Summers

  662
  Citations

• Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.

  Veit Sandfort;Ke Yan;Perry J. Pickhardt;Ronald M. Summers

  650
  Citations

• A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations.

  Holger R. Roth;Le Lu;Ari Seff;Kevin M. Cherry

  622
  Citations

• TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays

  Xiaosong Wang;Yifan Peng;Le Lu;Zhiyong Lu

  561
  Citations

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

  Stephanie A. Harmon;Thomas H. Sanford;Sheng Xu;Evrim B. Turkbey

  560
  Citations

• DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

  Ke Yan;Xiaosong Wang;Le Lu;Ronald M. Summers

  520
  Citations

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

  Mauricio Reyes;Raphael Meier;Sérgio Pereira;Carlos A Silva

  440
  Citations

• Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

  Hoo-Chang Shin;Kirk Roberts;Le Lu;Dina Demner-Fushman

  392
  Citations

• Automated polyp detection at CT colonography: feasibility assessment in a human population.

  Ronald M. Summers;C. Daniel Johnson;Lynne M. Pusanik;James D. Malley

  352
  Citations

• ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases.

  Xiaosong Wang;Yifan Peng;Le Lu;Zhiyong Lu

  229
  Citations