Explore fast uncertainty estimation techniques and diffusion models in Positron Emission Tomography (PET) through this insightful conference talk delivered by Dr. Quanzheng Li from Massachusetts General Hospital. Gain valuable knowledge on advanced reconstruction methods in medical imaging as part of the Deep Reconstruction Workshop held at Yale University. Delve into cutting-edge approaches for improving PET image quality and reliability, enhancing diagnostic capabilities in nuclear medicine.
Fast Uncertainty Estimation and Diffusion Models in PET
Overview
Syllabus
Fast uncertainty estimation and diffusion models in PET
Taught by
Yale Radiology and Biomedical Imaging
Tags
Related Courses
-
AI-Based PET Image Enhancement
-
Cardiovascular Hybrid PET-MR
-
Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT
-
Deep Learning with Diffusion & Large Models
-
Pretrain-Finetune and Uncertainty Estimation in Machine Learning - Part 1
-
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
