Yucheng Tang
- 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
- 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
- MONAI: An open-source framework for deep learning in healthcare
2022/11/04 by M. Jorge Cardoso, Cardoso, M. Jorge, Wenqi Li +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
- 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
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
2024/06/07 by Yufan He, He, Yufan, Pengfei Guo +25 · 15 citations
Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging
- Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
2022/06/02 by Jun Li, Li, Jun, Junyu Chen +9 · 5 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI #AI in cancer detection
- Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
2024/05/28 by Jie Liu, Liu, Jie, Yixiao Zhang +19 · 8 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Lung Cancer Diagnosis and Treatment #AI in cancer detection
- 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
- Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
2023/07/31 by Jeya Maria Jose Valanarasu, Valanarasu, Jeya Maria Jose, Yucheng Tang +19 · 4 citations
Computer Science · Engineering · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
- A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
2022/06/17 by Riqiang Gao, Thomas Li, Gao, Riqiang +17 · 2 citations
Computer Science · Health Professions · Medicine · #Artificial Intelligence in Healthcare #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Healthcare
- Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
2023/07/03 by Can Cui, Cui, Can, Yaohong Wang +25 · 1 citation
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
- Expectation-Maximization as the Engine of Scalable Medical Intelligence
2025/01/06 by Wenxuan Li, Li, Wenxuan, Pedro R. A. S. Bassi +37 · 2 citations
Decision Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Scientific Computing and Data Management
- Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning
2023/08/10 by Xueyuan Li, Li, Xueyuan, Ruining Deng +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- PanTS: The Pancreatic Tumor Segmentation Dataset
2025/07/02 by Wenxuan Li, Li, Wenxuan, Zhou, Xinze +32 · 5 citations
Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Pancreatic and Hepatic Oncology Research #electronic engineering #information engineering
- A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation
2024/08/20 by Yufan He, Pengfei Guo, He, Yufan +17 · 1 citation
Computer Science · #Medical Image Segmentation Techniques
- KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level
2025/02/11 by Ruining Deng, Deng, Ruining, Tianyuan Yao +90 · 2 citations
Computer Science · #AI in cancer detection
- MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
2025/08/07 by Can Zhao, Zhao, Can, Pengfei Guo +17 · 2 citations
Computer Science · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis