Ronald M. Summers

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

Hoo-Chang Shin, Holger R. Roth, Mingchen Gao et al. · IEEE Transactions on Medical Imaging · 2016 · 5.8K citations · Full text

Computing, Computer Science, Biomedical Imaging +16

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas et al. · Nature Communications · 2022 · 1.2K citations · Full text

Computing, Biomedical Engineering, Computer Science +10

Preparing Medical Imaging Data for Machine Learning

Martin J. Willemink, Wojciech A. Koszek, Cailin Hardell et al. · Radiology · 2020 · 976 citations · Full text

Computing, Computer Science, Radiology +13

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

Amber L. Simpson, Michela Antonelli, Spyridon Bakas et al. · arXiv (Cornell University) · 2019 · 717 citations · Full text

Computing, Anatomy, Biomedical Imaging +13

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

Veit Sandfort, Ke Yan, Perry J. Pickhardt et al. · Scientific Reports · 2019 · 683 citations · Full text

Computing, Computer Science, Radiology +17