Frank J. Brooks

24 papers B 1Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure. CoRR Frank J. Brooks, Rucha Deshpande
2024	J	`jnl`	A method for evaluating deep generative models of images for hallucinations in high-order spatial context. Pattern Recognit. Lett. Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks
2024	J	`jnl`	Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context. IEEE Trans. Medical Imaging Rucha Deshpande, Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks
2024	J	`jnl`	Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio
2023	J	`jnl`	Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. IEEE Trans. Medical Imaging Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2023	J	`jnl`	Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context. CoRR Rucha Deshpande, Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks
2023	—	`conf`	Evaluating generative stochastic image models using task-based image quality measures. Image Perception, Observer Performance, and Technology Assessment Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2022	J	`jnl`	Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2022	J	`jnl`	Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio
2022	—	`conf`	Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Image Perception, Observer Performance, and Technology Assessment Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio
2022	B	`conf`	Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images. Image Processing Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks
2022	J	`jnl`	Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions. CoRR Rucha Deshpande, Ashish Avachat, Frank J. Brooks, Mark A. Anastasio
2021	J	`jnl`	A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context. CoRR Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks
2021	—	`conf`	Advancing the AmbientGAN for learning stochastic object models. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021	J	`jnl`	Advancing the AmbientGAN for learning stochastic object models. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021	—	`conf`	Assessing regularization in tomographic imaging via hallucinations in the null space. Image Perception, Observer Performance, and Technology Assessment Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2021	J	`jnl`	Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2021	J	`jnl`	On Hallucinations in Tomographic Image Reconstruction. IEEE Trans. Medical Imaging Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2020	J	`jnl`	Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020	J	`jnl`	On hallucinations in tomographic image reconstruction. CoRR Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio
2020	J	`jnl`	Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020	—	`conf`	Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2019	—	`conf`	Learning stochastic object model from noisy imaging measurements using AmbientGANs. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Mark A. Anastasio
2013	J	`jnl`	Quantification of heterogeneity observed in medical images. BMC Medical Imaging Frank J. Brooks, Perry Grigsby