Holger R. Roth

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

UNETR: Transformers for 3D Medical Image Segmentation

Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath et al. · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2022 · 2.9K citations

Computing, Computer Science, Computer Vision +14

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Yucheng Tang, Dong Yang, Wenqi Li et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 764 citations

Computing, Anatomy, Computer Science +17

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al. · Nature Medicine · 2021 · 720 citations · Full text

Computing, Data Science, Health Informatics +17

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

Stephanie A. Harmon, Thomas Sanford, Sheng Xu et al. · Nature Communications · 2020 · 600 citations · Full text

Medicine, Computer Science, Radiology +17