6 citations · 6 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
AmbientFlow: Invertible generative models from incomplete, noisy measurements
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee +1
Generative models have gained popularity for their potential applications in imaging science, such as image reconstruction, posterior sampling and data sharing. Flow-based generati…
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions
Rucha Deshpande, Ashish Avachat, Frank J. Brooks +1
Quantitative phase retrieval (QPR) in propagation-based x-ray phase contrast imaging of heterogeneous and structurally complicated objects is challenging under laboratory condition…
A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context
Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks
Deep generative models (DGMs) have the potential to revolutionize diagnostic imaging. Generative adversarial networks (GANs) are one kind of DGM which are widely employed. The over…