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eess.IV2025
Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure
Frank J. Brooks, Rucha Deshpande
Super-resolution, in-painting, whole-image generation, unpaired style-transfer, and network-constrained image reconstruction each include an aspect of machine-learned image synthes…
eess.IV2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
Rucha Deshpande, Varun A. Kelkar, Dimitrios Gotsis +5
The findings of the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics are reported in this Special Report. The goal of this challenge was…
eess.IV2023
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context
Rucha Deshpande, Muzaffer Özbey, Hua Li +2
Diffusion models have emerged as a popular family of deep generative models (DGMs). In the literature, it has been claimed that one class of diffusion models -- denoising diffusion…