Avishek Chatterjee
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 20
- MRI in cancer diagnosis 3
- COVID-19 diagnosis using AI 3
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- AI in cancer detection 7
- Machine Learning in Healthcare 3
- Co-authors
- Philippe Lambin (18 shared papers)Henry C. Woodruff (14 shared papers)Zohaib Salahuddin (3 shared papers)Jan Seuntjens (14 shared papers)Martin Vallières (9 shared papers)Caroline Reinhold (7 shared papers)Reza Forghani (5 shared papers)Behzad Forghani (3 shared papers)
- Journals
- Cancers (3 papers)Physica Medica (3 papers)IEEE Transactions on Radiation and Plasma Medical Sciences (3 papers)Journal of Personalized Medicine (2 papers)Radiotherapy and Oncology (2 papers)
- Partner nations
- NetherlandsCanadaUnited States
In The Last Decade
Avishek Chatterjee
37 papers receiving 1.2k citations
Avishek Chatterjee's Hit Papers
Peers
Comparison fields: 5 of 112
- Health Informatics 114
- Radiology, Nuclear Medicine and Imaging 627
- Otorhinolaryngology 64
- Radiation 91
- Artificial Intelligence 302
Countries citing papers authored by Avishek Chatterjee
This map shows the geographic impact of Avishek Chatterjee'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 Avishek Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avishek Chatterjee more than expected).
Fields of papers citing papers by Avishek Chatterjee
This network shows the impact of papers produced by Avishek Chatterjee. 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 Avishek Chatterjee. The network helps show where Avishek Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Avishek Chatterjee, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transparency of deep neural networks for medical image analysis: A review of interpretability methods Hit paper breakdown → | 2021 | 287 |
| 2 | 2019 | 137 | |
| 3 | 2019 | 136 | |
| 4 | 2021 | 122 | |
| 5 | 2019 | 93 | |
| 6 | 2022 | 72 | |
| 7 | 2021 | 62 | |
| 8 | 2019 | 42 | |
| 9 | 2017 | 39 | |
| 10 | 2021 | 27 | |
| 11 | 2016 | 23 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2021 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2011 | 18 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2019 | 9 |
About Avishek Chatterjee
Avishek Chatterjee is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Health Informatics and Biomedical Engineering, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (7 papers), Artificial Intelligence in Healthcare and Education (5 papers), Advanced X-ray and CT Imaging (4 papers), MRI in cancer diagnosis (3 papers), Machine Learning in Healthcare (3 papers), COVID-19 diagnosis using AI (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (114 citations), Radiology, Nuclear Medicine and Imaging (627 citations), Otorhinolaryngology (64 citations), Radiation (91 citations) and Artificial Intelligence (302 citations). Avishek Chatterjee has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Philippe Lambin, Henry C. Woodruff, Zohaib Salahuddin, Jan Seuntjens, Martin Vallières, Caroline Reinhold, Reza Forghani, Behzad Forghani, Peter Savadjiev and George Shenouda. Their work appears in journals such as Cancers, Physica Medica, IEEE Transactions on Radiation and Plasma Medical Sciences, Journal of Personalized Medicine and Radiotherapy and 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.