Les Folio
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
Papers in
-
- Radiation Dose and Imaging 22
- Radiomics and Machine Learning in Medical Imaging 21
- COVID-19 diagnosis using AI 14
- Radiology practices and education 13
- Medical Imaging Techniques and Applications 9
- Surgery 32
- Co-authors
- Sameer Antani (14 shared papers)Jenifer Siegelman (6 shared papers)Sema Candemir (8 shared papers)Sivaramakrishnan Rajaraman (6 shared papers)Stefan Jaeger (10 shared papers)Ronald M. Summers (7 shared papers)Matthew P. Lungren (1 shared paper)Hugh Harvey (1 shared paper)
- Journals
- Journal of Digital Imaging (9 papers)Radiology (6 papers)American Journal of Roentgenology (5 papers)Journal of Clinical Oncology (4 papers)Blood (3 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Les Folio
134 papers receiving 4.0k citations
Les Folio's Hit Papers
Peers
Comparison fields: 5 of 155
- Health Informatics 335
- Radiology, Nuclear Medicine and Imaging 2.2k
- Artificial Intelligence 815
- Pulmonary and Respiratory Medicine 575
- Computer Vision and Pattern Recognition 412
Countries citing papers authored by Les Folio
This map shows the geographic impact of Les Folio'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 Les Folio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Les Folio more than expected).
Fields of papers citing papers by Les Folio
This network shows the impact of papers produced by Les Folio. 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 Les Folio. The network helps show where Les Folio may publish in the future.
Co-authors
The 25 scholars most cited alongside Les Folio, 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Preparing Medical Imaging Data for Machine Learning Hit paper breakdown → | 2020 | 630 |
| 2 | Automatic Tuberculosis Screening Using Chest Radiographs Hit paper breakdown → | 2013 | 502 |
| 3 | Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays Hit paper breakdown → | 2020 | 273 |
| 4 | 2015 | 192 | |
| 5 | 2016 | 175 | |
| 6 | 2017 | 158 | |
| 7 | 2014 | 144 | |
| 8 | 2014 | 138 | |
| 9 | 2015 | 137 | |
| 10 | 2015 | 100 | |
| 11 | 2016 | 98 | |
| 12 | 2015 | 90 | |
| 13 | 2010 | 78 | |
| 14 | 2013 | 78 | |
| 15 | 2021 | 67 | |
| 16 | 2016 | 66 | |
| 17 | 2018 | 48 | |
| 18 | 2016 | 47 | |
| 19 | 2019 | 46 | |
| 20 | 2011 | 43 |
About Les Folio
Les Folio is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Biomedical Engineering and Ophthalmology, having authored 146 papers that have together received 4.1k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (22 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Advanced X-ray and CT Imaging (18 papers), Traumatic Ocular and Foreign Body Injuries (14 papers), COVID-19 diagnosis using AI (14 papers), Radiology practices and education (13 papers), AI in cancer detection (11 papers) and Medical Imaging Techniques and Applications (9 papers). The work is most often cited by research in Health Informatics (335 citations), Radiology, Nuclear Medicine and Imaging (2.2k citations), Artificial Intelligence (815 citations), Pulmonary and Respiratory Medicine (575 citations) and Computer Vision and Pattern Recognition (412 citations). Les Folio has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Sameer Antani, Jenifer Siegelman, Sema Candemir, Sivaramakrishnan Rajaraman, Stefan Jaeger, Ronald M. Summers, Matthew P. Lungren, Hugh Harvey, Martin J. Willemink and Daniel L. Rubin. Their work appears in journals such as Journal of Digital Imaging, Radiology, American Journal of Roentgenology, Journal of Clinical Oncology and Blood.
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.