Holger R. Roth

Publications by Year

Research Areas

Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, COVID-19 diagnosis using AI, Medical Image Segmentation Techniques, AI in cancer detection

Most-Cited Works

• → Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning(2016)5,704 cited
• → UNETR: Transformers for 3D Medical Image Segmentation(2022)2,636 cited
• → Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images(2022)1,488 cited
• → Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis(2022)710 cited
• → DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation(2015)671 cited
• → Federated learning for predicting clinical outcomes in patients with COVID-19(2021)665 cited
• → Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets(2020)593 cited
• → Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation(2015)583 cited
• → Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation(2020)508 cited
• → MONAI: An open-source framework for deep learning in healthcare(2022)426 cited