Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography. - K. Aditya Mohan; Prabhat K. C.; Charudatta Phatak; Marc De Graef; Charles A. Bouman (IEEE Trans. Computational Imaging, 2018)

Deep neural networks-based denoising models for CT imaging and their efficacy. - Prabhat K. C.; Rongping Zeng; M. Mehdi Farhangi; Kyle J. Myers (CoRR, 2021)

Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. - Varun A. Kelkar; Dimitrios S. Gotsis; Frank J. Brooks; Kyle J. Myers; Prabhat K. C.; Rongping Zeng; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2022)

Evaluating generative stochastic image models using task-based image quality measures. - Varun A. Kelkar; Dimitrios S. Gotsis; Rucha Deshpande; Frank J. Brooks; Prabhat K. C.; Kyle J. Myers; Rongping Zeng; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2023)

Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. - Varun A. Kelkar; Dimitrios S. Gotsis; Frank J. Brooks; Prabhat K. C.; Kyle J. Myers; Rongping Zeng; Mark A. Anastasio (IEEE Trans. Medical Imaging, 2023)

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. - Rucha Deshpande; Varun A. Kelkar; Dimitrios S. Gotsis; Prabhat K. C.; Rongping Zeng; Kyle J. Myers; Frank J. Brooks; Mark A. Anastasio (CoRR, 2024)

Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection. - Prabhat K. C.; Rongping Zeng (CoRR, 2024)