Ajay Basavanhally
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Artificial Intelligence top 0.5%
- AI in cancer detection
Papers in
-
- AI in cancer detection 26
-
- Digital Imaging for Blood Diseases 8
- Medical Image Segmentation Techniques 7
- Image Retrieval and Classification Techniques 5
- Co-authors
- Anant Madabhushi (26 shared papers)Shridar Ganesan (14 shared papers)Michael D. Feldman (13 shared papers)John Tomaszewski (12 shared papers)Natalie Shih (8 shared papers)Fabio A. González (6 shared papers)Ángel Cruz-Roa (6 shared papers)Hannah Gilmore (6 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (3 papers)PLoS ONE (2 papers)Computerized Medical Imaging and Graphics (2 papers)Experimental Biology and Medicine (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesColombia
In The Last Decade
Ajay Basavanhally
29 papers receiving 2.3k citations
Ajay Basavanhally's Hit Papers
Peers
Comparison fields: 5 of 108
- Biophysics 360
- Artificial Intelligence 1.8k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Health Informatics 63
- Computer Vision and Pattern Recognition 959
Countries citing papers authored by Ajay Basavanhally
This map shows the geographic impact of Ajay Basavanhally'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 Ajay Basavanhally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Basavanhally more than expected).
Fields of papers citing papers by Ajay Basavanhally
This network shows the impact of papers produced by Ajay Basavanhally. 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 Ajay Basavanhally. The network helps show where Ajay Basavanhally may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajay Basavanhally, 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 29 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 | 382 |
| 2 | Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent Hit paper breakdown → | 2017 | 359 |
| 3 | 2014 | 252 | |
| 4 | 2009 | 210 | |
| 5 | 2010 | 161 | |
| 6 | 2016 | 154 | |
| 7 | 2013 | 102 | |
| 8 | 2011 | 96 | |
| 9 | 2018 | 95 | |
| 10 | 2014 | 83 | |
| 11 | 2007 | 76 | |
| 12 | 2011 | 52 | |
| 13 | 2012 | 45 | |
| 14 | 2013 | 40 | |
| 15 | 2009 | 39 | |
| 16 | 2009 | 32 | |
| 17 | 2010 | 29 | |
| 18 | 2009 | 25 | |
| 19 | 2009 | 24 | |
| 20 | 2010 | 12 |
About Ajay Basavanhally
Ajay Basavanhally is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biophysics, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include AI in cancer detection (26 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Digital Imaging for Blood Diseases (8 papers), Gene expression and cancer classification (7 papers), Medical Image Segmentation Techniques (7 papers), Cell Image Analysis Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Biophysics (360 citations), Artificial Intelligence (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Health Informatics (63 citations) and Computer Vision and Pattern Recognition (959 citations). Ajay Basavanhally has collaborated with scholars based in United States and Colombia. Frequent co-authors include Anant Madabhushi, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Natalie Shih, Fabio A. González, Ángel Cruz-Roa, Hannah Gilmore, Gyan Bhanot and Andrew Janowczyk. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, PLoS ONE, Computerized Medical Imaging and Graphics, Experimental Biology and Medicine and Journal of Clinical Oncology.
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.