Frank J. Brooks

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Image Statistics

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

IEEE Trans. Medical Imaging

Medical Imaging: Image Processing

Publications

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 (2024)
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 (2023)
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, 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)
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)
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 (2022)
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)
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)
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 (2021)
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)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
On Hallucinations in Tomographic Image Reconstruction. IEEE Trans. Medical Imaging 40 (11) (2021)
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)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
Advancing the AmbientGAN for learning stochastic object models. CoRR (2021)
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 (2021)
Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
On hallucinations in tomographic image reconstruction. CoRR (2020)
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements. CoRR (2020)
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 (2020)
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)
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)
Frank J. Brooks, Perry Grigsby
Quantification of heterogeneity observed in medical images. BMC Medical Imaging 13 (2013)