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cs.CV2024
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy
Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang +3
Diffusion Probabilistic Models (DPMs) suffer from inefficient inference due to their slow sampling and high memory consumption, which limits their applicability to various medical…
cs.CV2023
Trust, but Verify: Robust Image Segmentation using Deep Learning
Fahim Ahmed Zaman, Xiaodong Wu, Weiyu Xu +2
We describe a method for verifying the output of a deep neural network for medical image segmentation that is robust to several classes of random as well as worst-case perturbation…