Roth, Holger
- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
2022/01/04 by Ali Hatamizadeh, Hatamizadeh, Ali, Vishwesh Nath +9 · 139 citations
Computer Science · Neuroscience · Medicine · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Radiomics and Machine Learning in Medical Imaging
- 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
- 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
- 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
- DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation
2021/03/29 by He, Yufan, Yang, Dong, Roth, Holger +2 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
2024/11/19 by Nath, Vishwesh, Li, Wenqi, Yang, Dong +22 · 12 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 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
- 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
- Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
2022/03/18 by An Xu, Xu, An, Wenqi Li +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
- Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge
2020/06/22 by Zhuang, Xiahai, Xu, Jiahang, Luo, Xinzhe +20 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
2019/06/07 by Ling Zhang, Zhang, Ling, Xiaosong Wang +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
- C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
2019/12/20 by Qihang Yu, Dong Yang, Yu, Qihang +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
- Learning Image Labels On-the-fly for Training Robust Classification Models
2020/09/22 by Wang, Xiaosong, Xu, Ziyue, Yang, Dong +3 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 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
- 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
- HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization
2024/07/03 by Tang, Yucheng, He, Yufan, Nath, Vishwesh +11 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering