McCann, Michael T.

1. Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
   2022/11/19 by Hyungjin Chung, Dohoon Ryu, Chung, Hyungjin +7 · 17 citations
   Medicine · Computer Science · #Advanced Neuroimaging Techniques and Applications #Generative Adversarial Networks and Image Synthesis #MRI in cancer diagnosis
2. Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching
   2025/08/30 by An Vuong, An B. Vuong, Michael T. McCann +6 · 1 voice · 1 citation
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #cs.LG
3. Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
   2024/09/29 by Xu, Xiaojian, Klasky, Marc, McCann, Michael T. +2 · 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
4. Plug-and-Play Priors as a Score-Based Method
   2024/12/15 by Chicago Y. Park, Park, Chicago Y., Yuyang Hu +9 · 2 citations
   Psychology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Psychiatric care and mental health services #electronic engineering #information engineering