Frank J. Brooks

533 total citations
22 papers, 337 citations indexed

About

Frank J. Brooks is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Frank J. Brooks has authored 22 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Frank J. Brooks's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and AI in cancer detection (7 papers). Frank J. Brooks is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and AI in cancer detection (7 papers). Frank J. Brooks collaborates with scholars based in United States and Ireland. Frank J. Brooks's co-authors include Perry W. Grigsby, A. E. Carlsson, Mark A. Anastasio, Delphine L. Chen, Jacquelyn T. Engle, Robert H. Mach, Rongping Zeng, Kyle J. Myers, Wenhua Chu and Sharon Phillips and has published in prestigious journals such as PLoS ONE, Radiology and Biophysical Journal.

In The Last Decade

Frank J. Brooks

22 papers receiving 333 citations

Peers

Countries citing papers authored by Frank J. Brooks

Since Specialization

Citations

This map shows the geographic impact of Frank J. Brooks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frank J. Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank J. Brooks more than expected).

Fields of papers citing papers by Frank J. Brooks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank J. Brooks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frank J. Brooks. The network helps show where Frank J. Brooks may publish in the future.

Co-authorship network of co-authors of Frank J. Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Brooks. A scholar is included among the top collaborators of Frank J. Brooks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank J. Brooks. Frank J. Brooks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context 2024 ·IEEE Transactions on Medical Imaging ·(unknown), Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks	6
2	Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics 2024 ·Medical Physics ·R. Deshpande, (unknown), (unknown), (unknown), Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio	4
3	Investigating the robustness of a deep learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions 2023 ·Physics in Medicine and Biology ·(unknown), (unknown), Frank J. Brooks, Mark A. Anastasio	3
4	Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics 2023 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), Frank J. Brooks, (unknown), Kyle J. Myers, Rongping Zeng, Mark A. Anastasio	24
5	Advancing the AmbientGAN for learning stochastic object models 2021 ·Weimin Zhou, (unknown), Frank J. Brooks, (unknown), Hua Li, Mark A. Anastasio	1
6	Three-dimensional quantitative functional optoacoustic tomography to estimate vascular blood oxygenation of the breast 2021 ·(unknown), Umberto Villa, Frank J. Brooks, Richard Su, Alexander A. Oraevsky, Mark A. Anastasio	1
7	Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements 2020 ·Weimin Zhou, (unknown), Frank J. Brooks, Hua Li, Mark A. Anastasio	2
8	Realistic three-dimensional optoacoustic tomography imaging trials using the VICTRE breast phantom of FDA (Conference Presentation) 2020 ·(unknown), Umberto Villa, Richard Su, Alexander A. Oraevsky, Frank J. Brooks, Mark A. Anastasio	1
9	X-ray CT in Phase Contrast Enhancement Geometry of Alginate Microbeads in a Whole-Animal Model 2019 ·Annals of Biomedical Engineering ·(unknown), Sami I. Somo, Frank J. Brooks, Sergey Komarov, Weimin Zhou, Mark A. Anastasio, Eric M. Brey	2
10	Learning stochastic object model from noisy imaging measurements using AmbientGANs 2019 ·Weimin Zhou, (unknown), Frank J. Brooks, Mark A. Anastasio	3
11	Quantification of image texture in X‐ray phase‐contrast‐enhanced projection images of in vivo mouse lungs observed at varied inflation pressures 2019 ·Physiological Reports ·Frank J. Brooks, Sean P. Gunsten, Sunil K. Vasireddi, Steven L. Brody, Mark A. Anastasio	1
12	The peroxisome proliferator-activated receptor agonist pioglitazone and 5-lipoxygenase inhibitor zileuton have no effect on lung inflammation in healthy volunteers by positron emission tomography in a single-blind placebo-controlled cohort study 2018 ·PLoS ONE ·Delphine L. Chen, Howard J. Huang, Derek E. Byers, Adrian Shifren, Bryan Belikoff, Jacquelyn T. Engle, (unknown), (unknown), (unknown), David E. Scherrer, Hideji Fujiwara, (unknown), Frank J. Brooks, Richard A. Pierce, (unknown), Warren Isakow	7
13	PET of Poly (ADP-Ribose) Polymerase Activity in Cancer: Preclinical Assessment and First In-Human Studies 2016 ·Radiology ·Loren S. Michel, (unknown), Frank J. Brooks, (unknown), (unknown), Jacquelyn T. Engle, Sharon Phillips, Benjamin Tan, Andrea Wang‐Gillam, (unknown), Wenhua Chu, Dong Zhou, Robert H. Mach, Richard Laforest, Delphine L. Chen	62
14	Low-Order Non-Spatial Effects Dominate Second-Order Spatial Effects in the Texture Quantifier Analysis of 18F-FDG-PET Images 2015 ·PLoS ONE ·Frank J. Brooks, Perry W. Grigsby	12
15	The Effect of Small Tumor Volumes on Studies of Intratumoral Heterogeneity of Tracer Uptake 2013 ·Journal of Nuclear Medicine ·Frank J. Brooks, Perry W. Grigsby	132
16	Quantification of heterogeneity observed in medical images 2013 ·BMC Medical Imaging ·Frank J. Brooks, Perry W. Grigsby	18
17	FDG uptake heterogeneity in FIGO IIb cervical carcinoma does not predict pelvic lymph node involvement 2013 ·Radiation Oncology ·Frank J. Brooks, Perry W. Grigsby	14
18	Current measures of metabolic heterogeneity within cervical cancer do not predict disease outcome 2011 ·Radiation Oncology ·Frank J. Brooks, Perry W. Grigsby	21
19	Nonequilibrium actin polymerization treated by a truncated rate-equation method 2009 ·Physical Review E ·Frank J. Brooks, A. E. Carlsson	3
20	Actin Polymerization Overshoots and ATP Hydrolysis as Assayed by Pyrene Fluorescence 2008 ·Biophysical Journal ·Frank J. Brooks, A. E. Carlsson	17

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact