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ORCIDFrank J. Brooks
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2020 – today
- 2024
[j4]Rucha Deshpande
, Mark A. Anastasio, Frank J. Brooks:
A method for evaluating deep generative models of images for hallucinations in high-order spatial context. Pattern Recognit. Lett. 186: 23-29 (2024)- [i11]Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio:
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR abs/2405.01822 (2024) - 2023
- [j3]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., 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): 1799-1808 (2023) - [c7]Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Evaluating generative stochastic image models using task-based image quality measures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [i10]Rucha Deshpande, Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks:
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context. CoRR abs/2309.10817 (2023) - 2022
- [c6]Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks:
Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images. Medical Imaging: Image Processing 2022 - [c5]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [i9]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR abs/2204.03547 (2022) - [i8]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR abs/2204.12007 (2022) - [i7]Rucha Deshpande, Ashish Avachat, Frank J. Brooks, Mark A. Anastasio:
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions. CoRR abs/2211.01372 (2022) - 2021
- [j2]Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
On Hallucinations in Tomographic Image Reconstruction. IEEE Trans. Medical Imaging 40(11): 3249-3260 (2021) - [c4]Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
Assessing regularization in tomographic imaging via hallucinations in the null space. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2021 - [c3]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Advancing the AmbientGAN for learning stochastic object models. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2021 - [i6]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Advancing the AmbientGAN for learning stochastic object models. CoRR abs/2102.00281 (2021) - [i5]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio:
Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs. CoRR abs/2106.14324 (2021) - [i4]Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks:
A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context. CoRR abs/2111.12577 (2021) - 2020
- [c2]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio:
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160Q - [i3]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio:
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements. CoRR abs/2001.09523 (2020) - [i2]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio:
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs. CoRR abs/2006.00033 (2020) - [i1]Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
On hallucinations in tomographic image reconstruction. CoRR abs/2012.00646 (2020)
2010 – 2019
- 2019
- [c1]Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Mark A. Anastasio:
Learning stochastic object model from noisy imaging measurements using AmbientGANs. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520M - 2013
- [j1]Frank J. Brooks, Perry Grigsby:
Quantification of heterogeneity observed in medical images. BMC Medical Imaging 13: 7 (2013)
Coauthor Index
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