John Tomaszewski
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Biophysics top 0.5%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 29
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- Medical Image Segmentation Techniques 13
- Digital Imaging for Blood Diseases 7
- Advanced Neural Network Applications 6
- Image Retrieval and Classification Techniques 6
- Co-authors
- Anant Madabhushi (32 shared papers)Michael D. Feldman (29 shared papers)Natalie Shih (16 shared papers)Scott Doyle (12 shared papers)Ajay Basavanhally (12 shared papers)Hannah Gilmore (7 shared papers)Shridar Ganesan (11 shared papers)Fabio A. González (5 shared papers)
- Journals
- Urology (5 papers)Blood (3 papers)The Journal of Urology (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)Journal of Pathology Informatics (2 papers)
- Partner nations
- United StatesColombiaGermany
In The Last Decade
John Tomaszewski
78 papers receiving 4.2k citations
John Tomaszewski's Hit Papers
Peers
Comparison fields: 5 of 142
- Radiology, Nuclear Medicine and Imaging 1.5k
- Biophysics 398
- Artificial Intelligence 2.3k
- Health Informatics 84
- Computer Vision and Pattern Recognition 1.3k
Countries citing papers authored by John Tomaszewski
This map shows the geographic impact of John Tomaszewski'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 John Tomaszewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tomaszewski more than expected).
Fields of papers citing papers by John Tomaszewski
This network shows the impact of papers produced by John Tomaszewski. 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 John Tomaszewski. The network helps show where John Tomaszewski may publish in the future.
Co-authors
The 25 scholars most cited alongside John Tomaszewski, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks Hit paper breakdown → | 2014 | 428 |
| 2 | Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent Hit paper breakdown → | 2017 | 394 |
| 3 | 2014 | 280 | |
| 4 | 2008 | 260 | |
| 5 | 2010 | 226 | |
| 6 | 2008 | 217 | |
| 7 | 1991 | 186 | |
| 8 | 1995 | 131 | |
| 9 | 2018 | 109 | |
| 10 | 2013 | 107 | |
| 11 | 2014 | 93 | |
| 12 | 2000 | 87 | |
| 13 | Association of SRD5A2 genotype and pathological characteristics of prostate tumors. | 2000 | 86 |
| 14 | 2012 | 85 | |
| 15 | 2018 | 78 | |
| 16 | 2009 | 71 | |
| 17 | 1999 | 64 | |
| 18 | 2013 | 62 | |
| 19 | 1989 | 58 | |
| 20 | 1994 | 58 |
About John Tomaszewski
John Tomaszewski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 82 papers that have together received 4.3k indexed citations. Recurring topics across this work include AI in cancer detection (29 papers), Medical Image Segmentation Techniques (13 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Digital Imaging for Blood Diseases (7 papers), Advanced Neural Network Applications (6 papers), Image Retrieval and Classification Techniques (6 papers) and Renal Transplantation Outcomes and Treatments (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Biophysics (398 citations), Artificial Intelligence (2.3k citations), Health Informatics (84 citations) and Computer Vision and Pattern Recognition (1.3k citations). John Tomaszewski has collaborated with scholars based in United States, Colombia and Germany. Frequent co-authors include Anant Madabhushi, Michael D. Feldman, Natalie Shih, Scott Doyle, Ajay Basavanhally, Hannah Gilmore, Shridar Ganesan, Fabio A. González, Ángel Cruz-Roa and Shannon C. Agner. Their work appears in journals such as Urology, Blood, The Journal of Urology, IEEE Transactions on Biomedical Engineering and Journal of Pathology Informatics.
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.