MA2a.3

Foundation Models for Medical Image Segmentation: Case Study for Prostate Imaging

Mert Sabuncu, Cornell University, United States
Session:
MA2a: Deep Learning for Medical Imaging (Invited) Lecture
Track:
Biomedical Signal and Image Processing
Location:
Oak Shelter
Presentation Time:
Mon, 30 Oct, 09:05 - 09:30 PT (UTC -7)
Session Chair:
Bo Zhao, University of Texas at Austin
Presentation
Discussion
Resources
No resources available.
Session MA2a
MA2a.1: Accelerated Phase-Contrast Flow MRI with Low-Rank and Generative Subspace Modeling
Hengfa Lu, Aiqi Sun, Jiachen Wang, Bo Zhao, The University of Texas at Austin, United States
MA2a.2: Fast Image Recovery using Plug-and-Play Multi-Scale Energy (MuSE) Framework
Jyothi Rikhab Chand, Mathews Jacob, University of Iowa, United States
MA2a.3: Foundation Models for Medical Image Segmentation: Case Study for Prostate Imaging
Mert Sabuncu, Cornell University, United States
MA2a.4: On Reference-based Image Quality Assessment in Medical Image Reconstruction: Potential Pitfalls and Possible Solutions
Chin-Cheng Chan, Jiayang Wang, Tashfa Nadeem, Justin P. Haldar, University of Southern California, United States
Contacts