Matthew S. Brown

13.4k citations

154 papers · 8.3k indexed · 2 hit papers · h-index 50

Impact in

Radiology, Nuclear Medicine and Imaging top 0.5%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Pulmonary and Respiratory Medicine top 1%
- Lung Cancer Diagnosis and Treatment

Papers in

Radiology, Nuclear Medicine and Imaging 66
- Radiomics and Machine Learning in Medical Imaging 41
- Medical Imaging Techniques and Applications 17
- MRI in cancer diagnosis 8
Pulmonary and Respiratory Medicine 68
- Lung Cancer Diagnosis and Treatment 35
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 11
- Chronic Obstructive Pulmonary Disease (COPD) Research 10

Co-authors: J L Goldstein Jonathan Goldin Joseph L. Goldstein Michael F. McNitt‐Gray Iichiro Shimomura Jay D. Horton Robert E. Hammer Miguel C. Seabra
Journals: Academic Radiology (10 papers)Proceedings of the National Academy of Sciences (10 papers)Medical Physics (9 papers)Journal of Biological Chemistry (9 papers)Plastic & Reconstructive Surgery (9 papers)
Partner nations: United States Netherlands United Kingdom

In The Last Decade

Matthew S. Brown

147 papers receiving 8.1k citations

Hit Papers

align trajectories log scale

Isoform 1c of sterol regulatory element binding protein is less active than isoform 1a in livers of transgenic mice and in cultured cells. 1997 · 714 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

1997 Journal of Clinical Investigation
1983 Proceedings of the National Academy of Sciences

Peers

Countries citing papers authored by Matthew S. Brown

Since Specialization

Citations

This map shows the geographic impact of Matthew S. Brown'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 Matthew S. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Brown more than expected).

Fields of papers citing papers by Matthew S. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Brown. 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 Matthew S. Brown. The network helps show where Matthew S. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew S. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew S. Brown Line = papers co-authored together Matthew S. Brown links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A comparative analysis of image harmonization techniques in mitigating differences in CT acquisition and reconstruction Physics in Medicine and Biology ·Anil Yadav, Spencer H. Welland, John M. Hoffman, Hyun Woo Kim, Matthew S. Brown, Ashley E. Prosper, Denise R. Aberle, Michael F. McNitt‐Gray, William Hsu	2025	2
2	Quantitative Computed Tomography Lung COVID Scores with Laboratory Markers: Utilization to Predict Rapid Progression and Monitor Longitudinal Changes in Patients with Coronavirus 2019 (COVID-19) Pneumonia Biomedicines ·Da Hyun Kang, Grace Hyun J. Kim, Sa-Beom Park, Song‐I Lee, Jeong Suk Koh, Matthew S. Brown, Fereidoun Abtin, Michael F. McNitt‐Gray, Jonathan Goldin, Jeong Seok Lee	2024	15
3	IS-IPF: Deep Learning Idiopathic Pulmonary Fibrosis (IPF) Classification and Its Association With Progression-free Survival G.H.J. Kim, Jae W. Song, S. Weigt, Ju Hyun Oh, B. Villages, P.Y. Teng, Matthew S. Brown, Jonathan Goldin	2024	0
4	Self-supervised learning without annotations to improve lung chest x-ray segmentation Jin Kuk Kim, Matthew S. Brown, Dan Ruan	2024	0
5	Toward automating RECIST 1.1: Improving AI new lesion detection with longitudinal image data. Journal of Clinical Oncology ·Amanda Gong, Morgan Daly, Gabriel Melendez-Corres, Pang Yu Teng, Tanmay Sanjay Hukkeri, Wahi-Anwar Muhammad, Kathleen Ruchalski, Jonathan Goldin, Matthew S. Brown	2023	3
6	Adult patient preference for an orthodontic care provider in Canada American Journal of Orthodontics and Dentofacial Orthopedics ·Matthew S. Brown, William Wiltshire, Fábio Henrique Pinheiro, Dieter J. Schönwetter	2022	5
7	Pretreatment visceral metastases in castration resistant metastatic prostate cancer: role in prediction versus actual site of disease progression Cancer Imaging ·Kathleen Ruchalski, Grace Hyun J. Kim, Michael Douek, Steven S. Raman, Maitraya Patel, Victor Sai, Antonio Gutiérrez, Benjamin D. Levine, Cheryce Fischer, Martin Allen-Auerbach, Pawan Gupta, Heidi Coy, Bianca Villegas, Matthew S. Brown, Jonathan Goldin	2022	2
8	Effect of indacaterol/glycopyrronium on ventilation and perfusion in COPD: a randomized trial Respiratory Research ·Dave Singh, Jim M. Wild, Dinesh Saralaya, Rod Lawson, Helen Marshall, Jonathan Goldin, Matthew S. Brown, Κonstantinos Κostikas, Kristin Belmore, Robert Fogel, Francesco Patalano, Anton Drollmann, Surendra Machineni, Ieuan Jones, Denise P. Yates, Hanns-Christian Tillmann	2022	8
9	Prediction of idiopathic pulmonary fibrosis progression using early quantitative changes on CT imaging for a short term of clinical 18–24-month follow-ups European Radiology ·Grace Hyun J. Kim, Stephan S. Weigt, John A. Belperio, Matthew S. Brown, Yu Shi, Joshua H. Lai, Jonathan Goldin	2019	37
10	Cyst‐based measurements for assessing lymphangioleiomyomatosis in computed tomography Medical Physics ·P Lo, Matthew S. Brown, Hyejin Kim, Rahul Argula, Charlie Strange, Jonathan Goldin	2015	4
11	Comparison of the Quantitative CT Imaging Biomarkers of Idiopathic Pulmonary Fibrosis at Baseline and Early Change with an Interval of 7 Months Academic Radiology ·Hyun J. Kim, Matthew S. Brown, Daniel Chong, David W. Gjertson, Peiyun Lu, (unknown), (unknown), Heidi Coy, Jonathan Goldin	2014	97
12	Computer-aided quantitative bone scan assessment of prostate cancer treatment response Nuclear Medicine Communications ·Matthew S. Brown, Gregory H. Chu, Hyun J. Kim, Martin Allen-Auerbach, Cheryce Poon, Juliette Bridges, Adria Vidovic, Bharath Ramakrishna, Judy Ho, Michael J. Morris, Steven M. Larson, Howard I. Scher, Jonathan Goldin	2012	36
13	Association of texture-based quantitative fibrotic patterns and pulmonary function test in a new validation set European Respiratory Journal ·Hyun Kim, Matthew S. Brown, Fereidoun Abtin, Peiyun Lu, Daniel Chong, Jonathan Goldin	2011	1
14	CK2 Modulation of NF-κB, TP53, and the Malignant Phenotype in Head and Neck Cancer by Anti-CK2 Oligonucleotides In vitro or In vivo via Sub–50-nm Nanocapsules Clinical Cancer Research ·Matthew S. Brown, Oumou Diallo, Michael Y. Hu, Reza Ehsanian, Xinping Yang, Pattatheyil Arun, Hai Lü, Vicci L. Korman, Gretchen M. Unger, Khalil Ahmed, Carter Van Waes, Zhong Chen	2010	71
15	Nuclear NF-κB p65 Phosphorylation at Serine 276 by Protein Kinase A Contributes to the Malignant Phenotype of Head and Neck Cancer Clinical Cancer Research ·Pattatheyil Arun, Matthew S. Brown, Reza Ehsanian, Zhong Chen, Carter Van Waes	2009	57
16	Attenuated Transforming Growth Factor β Signaling Promotes Nuclear Factor-κB Activation in Head and Neck Cancer Cancer Research ·Jonah Cohen, Zhong Chen, Shi‐Long Lu, Xin Yang, Pattatheyil Arun, Reza Ehsanian, Matthew S. Brown, Hai Lü, Bin Yan, Oumou Diallo, Xiao‐Jing Wang, Carter Van Waes	2009	28
17	Classification of Parenchymal Abnormality in Scleroderma Lung Using a Novel Approach to Denoise Images Collected via a Multicenter Study Academic Radiology ·Hyun J. Kim, Gang Li, David W. Gjertson, Robert M. Elashoff, Sumit K. Shah, Robert Ochs, Fah Vasunilashorn, Fereidoun Abtin, Matthew S. Brown, Jonathan Goldin	2008	58
18	Three-dimensional Mapping of Gallbladder Wall Thickness on Computed Tomography Using Laplace's Equation Academic Radiology ·Mithun Prasad, Matthew S. Brown, Chiayi Ni, Daniel Margolis, Michael Douek, Steve Raman, David Lu, Jonathan Goldin	2008	3
19	Computer-aided Diagnosis in Lung Nodule Assessment Journal of Thoracic Imaging ·Jonathan Goldin, Matthew S. Brown, Iva Petkovska	2008	36
20	Solitary pulmonary nodule diagnosis on CT Academic Radiology ·Sumit K. Shah, Michael F. McNitt‐Gray, Kheshini R. De Zoysa, James Sayre, Hyun J. Kim, Poonam Batra, Azita Behrashi, Kathleen Brown, Lloyd E. Greaser, Jinha Park, Donald K. Roback, Carol C. Wu, Edward Zaragoza, Jonathan Goldin, Robert D. Suh, Matthew S. Brown, Denise R. Aberle	2005	23

About Matthew S. Brown

Matthew S. Brown is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Orthodontics, Pathology and Forensic Medicine and Radiation, having authored 154 papers that have together received 8.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (41 papers), Lung Cancer Diagnosis and Treatment (35 papers), Medical Imaging Techniques and Applications (17 papers), Advanced X-ray and CT Imaging (13 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers), MRI in cancer diagnosis (8 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Pulmonary and Respiratory Medicine (2.1k citations), Cancer Research (871 citations), Biochemistry (416 citations) and Surgery (2.1k citations). Matthew S. Brown has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include J L Goldstein, Jonathan Goldin, J L Goldstein, Joseph L. Goldstein, Michael F. McNitt‐Gray, Iichiro Shimomura, Jay D. Horton, Robert E. Hammer, Miguel C. Seabra and Hitoshi Shimano. Their work appears in journals such as Academic Radiology, Proceedings of the National Academy of Sciences, Medical Physics, Journal of Biological Chemistry and Plastic & Reconstructive Surgery.

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