Lee Cooper
Impact in
- Health Informatics top 0.5%
- Biophysics top 0.5%
- Cell Image Analysis Techniques
Papers in
-
- AI in cancer detection 35
-
- Medical Image Segmentation Techniques 15
- Digital Imaging for Blood Diseases 9
- Co-authors
- Daniel J. Brat (31 shared papers)David A. Gutman (26 shared papers)Mohamed Amgad (14 shared papers)Joel Saltz (23 shared papers)Jun Kong (26 shared papers)Safoora Yousefi (3 shared papers)Pooya Mobadersany (4 shared papers)Tahsin Kurç (24 shared papers)
- Journals
- Scientific Reports (6 papers)Cancer Research (5 papers)Modern Pathology (4 papers)PLoS ONE (3 papers)Caries Research (3 papers)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Lee Cooper
114 papers receiving 4.4k citations
Lee Cooper's Hit Papers
Peers
Comparison fields: 5 of 167
- Health Informatics 139
- Biophysics 439
- Genetics 739
- Radiology, Nuclear Medicine and Imaging 1.2k
- Cancer Research 522
Countries citing papers authored by Lee Cooper
This map shows the geographic impact of Lee Cooper'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 Lee Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Cooper more than expected).
Fields of papers citing papers by Lee Cooper
This network shows the impact of papers produced by Lee Cooper. 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 Lee Cooper. The network helps show where Lee Cooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Cooper, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting cancer outcomes from histology and genomics using convolutional networks Hit paper breakdown → | 2018 | 666 |
| 2 | 2017 | 289 | |
| 3 | Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization Hit paper breakdown → | 2019 | 285 |
| 4 | 2012 | 180 | |
| 5 | 2013 | 157 | |
| 6 | 1999 | 156 | |
| 7 | 2017 | 146 | |
| 8 | 2017 | 131 | |
| 9 | 2013 | 126 | |
| 10 | 2010 | 117 | |
| 11 | 2017 | 103 | |
| 12 | 2017 | 89 | |
| 13 | 2016 | 89 | |
| 14 | 2013 | 84 | |
| 15 | 2019 | 78 | |
| 16 | 2015 | 75 | |
| 17 | 2012 | 72 | |
| 18 | 2012 | 68 | |
| 19 | 2023 | 67 | |
| 20 | 2018 | 64 |
About Lee Cooper
Lee Cooper is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics and Molecular Biology, having authored 120 papers that have together received 4.5k indexed citations. Recurring topics across this work include AI in cancer detection (35 papers), Cell Image Analysis Techniques (25 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Glioma Diagnosis and Treatment (18 papers), Medical Image Segmentation Techniques (15 papers), Digital Imaging for Blood Diseases (9 papers), Cancer Genomics and Diagnostics (7 papers) and Single-cell and spatial transcriptomics (5 papers). The work is most often cited by research in Health Informatics (139 citations), Biophysics (439 citations), Genetics (739 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Cancer Research (522 citations). Lee Cooper has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Daniel J. Brat, David A. Gutman, Mohamed Amgad, Joel Saltz, Jun Kong, Safoora Yousefi, Pooya Mobadersany, Tahsin Kurç, José E. Velázquez Vega and Jill S. Barnholtz‐Sloan. Their work appears in journals such as Scientific Reports, Cancer Research, Modern Pathology, PLoS ONE and Caries Research.
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.