Prabhat KC

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 5

Top Topics

Iterative Reconstruction

Top Venues

IEEE Trans. Computational Imaging

Publications

Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat KC, Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. IEEE Trans. Medical Imaging 42 (6) (2023)
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat KC, Rongping Zeng, Mark A. Anastasio
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR (2022)
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat KC, Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR (2022)
Prabhat KC, Rongping Zeng, M. Mehdi Farhangi, Kyle J. Myers
Deep neural networks-based denoising models for CT imaging and their efficacy. CoRR (2021)
K. Aditya Mohan, Prabhat KC, Charudatta Phatak, Marc De Graef, Charles A. Bouman
Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography. IEEE Trans. Computational Imaging 4 (3) (2018)