Michael B. Gotway
Impact in
- Internal Medicine top 0.5%
- Venous Thromboembolism Diagnosis and Management
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 18
- Medical Imaging and Pathology Studies 14
- Lung Cancer Diagnosis and Treatment 13
-
- COVID-19 diagnosis using AI 22
- Radiomics and Machine Learning in Medical Imaging 16
- Co-authors
- Jianming Liang (32 shared papers)Nima Tajbakhsh (7 shared papers)J. Shin (5 shared papers)Suryakanth Gurudu (4 shared papers)R. Todd Hurst (2 shared papers)Christopher B. Kendall (2 shared papers)Gautham P. Reddy (27 shared papers)Zongwei Zhou (11 shared papers)
- Journals
- American Journal of Roentgenology (11 papers)Radiology (8 papers)Medical Image Analysis (8 papers)Journal of Thoracic Imaging (7 papers)CHEST Journal (5 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Michael B. Gotway
146 papers receiving 7.4k citations
Michael B. Gotway's Hit Papers
Peers
Comparison fields: 5 of 193
- Internal Medicine 451
- Radiology, Nuclear Medicine and Imaging 2.1k
- Health Informatics 96
- Pulmonary and Respiratory Medicine 1.7k
- Computer Vision and Pattern Recognition 1.2k
Countries citing papers authored by Michael B. Gotway
This map shows the geographic impact of Michael B. Gotway'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 Michael B. Gotway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Gotway more than expected).
Fields of papers citing papers by Michael B. Gotway
This network shows the impact of papers produced by Michael B. Gotway. 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 Michael B. Gotway. The network helps show where Michael B. Gotway may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael B. Gotway, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Hit paper breakdown → | 2016 | 2339 |
| 2 | Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally Hit paper breakdown → | 2017 | 320 |
| 3 | 2003 | 297 | |
| 4 | 2020 | 214 | |
| 5 | 2019 | 212 | |
| 6 | 2004 | 170 | |
| 7 | 2007 | 155 | |
| 8 | 2011 | 152 | |
| 9 | 2008 | 149 | |
| 10 | 2003 | 145 | |
| 11 | 2014 | 135 | |
| 12 | 2002 | 132 | |
| 13 | 2005 | 120 | |
| 14 | 2005 | 108 | |
| 15 | 2000 | 100 | |
| 16 | 2001 | 98 | |
| 17 | 2018 | 94 | |
| 18 | 2021 | 91 | |
| 19 | 1990 | 87 | |
| 20 | 2002 | 86 |
About Michael B. Gotway
Michael B. Gotway is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology and Artificial Intelligence, having authored 155 papers that have together received 7.7k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (22 papers), Venous Thromboembolism Diagnosis and Management (19 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (18 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (14 papers), Medical Imaging and Pathology Studies (14 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Ultrasound in Clinical Applications (12 papers). The work is most often cited by research in Internal Medicine (451 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations), Health Informatics (96 citations), Pulmonary and Respiratory Medicine (1.7k citations) and Computer Vision and Pattern Recognition (1.2k citations). Michael B. Gotway has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jianming Liang, Nima Tajbakhsh, J. Shin, Suryakanth Gurudu, R. Todd Hurst, Christopher B. Kendall, Gautham P. Reddy, Zongwei Zhou, W. Richard Webb and Charles B. Higgins. Their work appears in journals such as American Journal of Roentgenology, Radiology, Medical Image Analysis, Journal of Thoracic Imaging and CHEST Journal.
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.