Holger R. Roth

1. Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
   2022/01/04 by Ali Hatamizadeh, Hatamizadeh, Ali, Vishwesh Nath +9 · 137 citations
   Computer Science · Neuroscience · Medicine · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Radiomics and Machine Learning in Medical Imaging
2. UNETR: Transformers for 3D Medical Image Segmentation
   2021/03/18 by Ali Hatamizadeh, Hatamizadeh, Ali, Tang, Yucheng +9 · 103 citations
   Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI #Advanced Neural Network Applications
3. Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
   2022/01/01 by Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang +3 · 91 citations
   Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Medical Image Segmentation Techniques
4. MONAI: An open-source framework for deep learning in healthcare
   2022/11/04 by M. Jorge Cardoso, Wenqi Li, Cardoso, M. Jorge +109 · 94 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
5. The future of digital health with federated learning
   2020/09/14 by Nicola Rieke, Jonny Hancox, Wenqi Li +14 · 61 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data
6. Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
   2021/11/29 by Yucheng Tang, Tang, Yucheng, Dong Yang +13 · 57 citations
   Computer Science · Engineering · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
7. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
   2016/02/10 by Hoo-Chang Shin, Holger R. Roth, Shin, Hoo-Chang +15 · 16 citations
   Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
8. 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
   2018/11/29 by Yingda Xia, Xia, Yingda, Fengze Liu +15 · 7 citations
   Computer Science · #AI in cancer detection #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
9. Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience
   2018/04/10 by Masashi Misawa, Shin-ei Kudo, Shin‐ei Kudo +23 · 28 citations
   Medicine · #Colorectal Cancer Screening and Detection #Gastric Cancer Management and Outcomes #Esophageal Cancer Research and Treatment
10. Fair Federated Medical Image Segmentation via Client Contribution Estimation
    2023/03/29 by Meirui Jiang, Holger R. Roth, Jiang, Meirui +15 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
11. Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
    2024/11/06 by Pedro R. A. S. Bassi, Wenxuan Li, Bassi, Pedro R. A. S. +103 · 11 citations
    Engineering · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis
12. GradViT: Gradient Inversion of Vision Transformers
    2022/03/22 by Ali Hatamizadeh, Hongxu Yin, Hatamizadeh, Ali +11 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning
13. Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
    2022/03/18 by An Xu, Wenqi Li, Xu, An +17 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Radiomics and Machine Learning in Medical Imaging
14. Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
    2020/09/28 by Po‐Chuan Wang, Wang, Pochuan, Chen Shen +21 · 3 citations
    Medicine · Computer Science · #COVID-19 diagnosis using AI #Advanced Neural Network Applications #AI in cancer detection
15. On the influence of Dice loss function in multi-class organ segmentation\n of abdominal CT using 3D fully convolutional networks
    2018/01/17 by Chen Shen, Holger R. Roth, Shen, Chen +11 · 2 citations
    Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging
16. When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
    2019/06/07 by Ling Zhang, Xiaosong Wang, Zhang, Ling +17 · 2 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Fetal and Pediatric Neurological Disorders #Image and Video Processing (eess.IV) #electronic engineering #information engineering
17. Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
    2023/03/28 by Jingwei Sun, Ziyue Xu, Sun, Jingwei +15 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
18. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
    2023/10/02 by Jingwei Sun, Ziyue Xu, Sun, Jingwei +11 · 2 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Age of Information Optimization
19. C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
    2019/12/20 by Qihang Yu, Yu, Qihang, Dong Yang +11 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging and Analysis
20. Going to Extremes: Weakly Supervised Medical Image Segmentation
    2020/09/25 by Holger R. Roth, Dong Yang, Roth, Holger R +7 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
21. Spatial Aggregation of Holistically-Nested Networks for Automated\n Pancreas Segmentation
    2016/06/24 by Holger R. Roth, Roth, Holger R., Le Lü +7 · 2 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
22. Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging
    2021/11/01 by Andriy Myronenko, Myronenko, Andriy, Ziyue Xu +7 · 1 citation
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
23. Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network
    2019/07/08 by Ziyue Xu, Xiaosong Wang, Xu, Ziyue +13 · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · Medicine · #AI in cancer detection #Cell Image Analysis Techniques #Radiomics and Machine Learning in Medical Imaging
24. Supercharging Federated Learning with Flower and NVIDIA FLARE
    2024/05/21 by Holger R. Roth, Roth, Holger R., Daniel J. Beutel +27 · 1 citation
    Computer Science · #Distributed #FOS: Computer and information sciences #Parallel #Privacy-Preserving Technologies in Data #Software Engineering (cs.SE) #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
25. Empowering Federated Learning for Massive Models with NVIDIA FLARE
    2024/02/12 by Holger R. Roth, Roth, Holger R., Ziyue Xu +26 · 1 citation
    Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)