| On hallucinations in tomographic image reconstruction S Bhadra, VA Kelkar, FJ Brooks, MA Anastasio IEEE transactions on medical imaging 40 (11), 3249-3260, 2021 | 88 | 2021 |
| Full-view 3D imaging system for functional and anatomical screening of the breast A Oraevsky, R Su, H Nguyen, J Moore, Y Lou, S Bhadra, L Forte, ... Photons Plus Ultrasound: Imaging and Sensing 2018 10494, 217-226, 2018 | 36 | 2018 |
| Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks S Bhadra, W Zhou, MA Anastasio Medical imaging 2020: physics of medical imaging 11312, 206-213, 2020 | 33 | 2020 |
| Compressible latent-space invertible networks for generative model-constrained image reconstruction VA Kelkar, S Bhadra, MA Anastasio IEEE transactions on computational imaging 7, 209-223, 2021 | 31 | 2021 |
| Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks W Zhou, S Bhadra, FJ Brooks, H Li, MA Anastasio Journal of Medical Imaging 9 (1), 015503-015503, 2022 | 15 | 2022 |
| Learning stochastic object model from noisy imaging measurements using AmbientGANs W Zhou, S Bhadra, F Brooks, MA Anastasio Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019 | 10 | 2019 |
| Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment W Zhou, S Bhadra, F Brooks, MA Anastasio SPIE 10952, 41-46, 2019 | 8 | 2019 |
| Progressively-growing ambientgans for learning stochastic object models from imaging measurements W Zhou, S Bhadra, FJ Brooks, H Li, MA Anastasio Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020 | 7 | 2020 |
| Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs W Zhou, S Bhadra, FJ Brooks, H Li, MA Anastasio arXiv preprint arXiv:2006.00033, 2020 | 6 | 2020 |
| Advancing the AmbientGAN for learning stochastic object models W Zhou, S Bhadra, FJ Brooks, JL Granstedt, H Li, MA Anastasio Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021 | 5 | 2021 |
| Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems S Bhadra, U Villa, MA Anastasio arXiv preprint arXiv:2202.05311, 2022 | 4 | 2022 |
| Learning stochastic object models from medical imaging measurements by use of advanced ambientgans W Zhou, S Bhadra, FJ Brooks, H Li, MA Anastasio arXiv preprint arXiv:2106.14324, 2021 | 4 | 2021 |
| Photons Plus Ultrasound: Imaging and Sensing 2011 AA Oraevsky, R Su, H Nguyen, J Moore, Y Lou, S Bhadra, L Forte, ... SPIE, 2010 | 2 | 2010 |
| Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior J Liu, O Shafaat, S Bhadra, C Parnell, A Harris, RM Summers International journal of computer assisted radiology and surgery, 1-6, 2024 | 1 | 2024 |
| Assessing regularization in tomographic imaging via hallucinations in the null space S Bhadra, VA Kelkar, FJ Brooks, MA Anastasio Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021 | 1 | 2021 |
| Medical image reconstruction using compressible latent space invertible networks VA Kelkar, S Bhadra, MA Anastasio Medical Imaging 2021: Physics of Medical Imaging 11595, 465-473, 2021 | 1 | 2021 |
| Weakly supervised learning for subcutaneous edema segmentation of abdominal CT using pseudo-labels and multi-stage nnU-Nets S Bhadra, J Liu, RM Summers Medical Imaging 2024: Computer-Aided Diagnosis 12927, 782-786, 2024 | | 2024 |
| Deep Learning for Tomographic Image Reconstruction Guided by Generative Models and Image Science S Bhadra Washington University in St. Louis, 2023 | | 2023 |
| Recitation Session S Bhadra | | 1918 |
| 2021 Index IEEE Transactions on Computational Imaging Vol. 7 A Al-Saffar, MB Alver, MG Amin, MA Anastasio, GR Arce, H Arguello, ... | | |
Mark A. AnastasioUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
