Tom Doel
Impact in
- Health Informatics top 2%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Lung Cancer Diagnosis and Treatment 4
- Chronic Obstructive Pulmonary Disease (COPD) Research 2
-
- Fetal and Pediatric Neurological Disorders 5
- Co-authors
- Sébastien Ourselin (8 shared papers)Tom Vercauteren (8 shared papers)Guotai Wang (7 shared papers)Michaël Aertsen (7 shared papers)Anna L. David (7 shared papers)Jan Deprest (7 shared papers)Wenqi Li (4 shared papers)Premal A. Patel (4 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)IEEE Transactions on Medical Imaging (1 paper)Computerized Medical Imaging and Graphics (1 paper)Radiology (1 paper)
- Partner nations
- United KingdomBelgiumPortugal
In The Last Decade
Tom Doel
18 papers receiving 1.9k citations
Tom Doel's Hit Papers
Peers
Comparison fields: 5 of 127
- Health Informatics 52
- Computer Vision and Pattern Recognition 741
- Radiology, Nuclear Medicine and Imaging 667
- Neurology 234
- Artificial Intelligence 543
Countries citing papers authored by Tom Doel
This map shows the geographic impact of Tom Doel'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 Tom Doel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Doel more than expected).
Fields of papers citing papers by Tom Doel
This network shows the impact of papers produced by Tom Doel. 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 Tom Doel. The network helps show where Tom Doel may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Doel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning Hit paper breakdown → | 2018 | 631 |
| 2 | NiftyNet: a deep-learning platform for medical imaging Hit paper breakdown → | 2018 | 415 |
| 3 | DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation Hit paper breakdown → | 2018 | 341 |
| 4 | 2019 | 180 | |
| 5 | 2014 | 59 | |
| 6 | 2016 | 58 | |
| 7 | 2014 | 55 | |
| 8 | 2016 | 52 | |
| 9 | 2016 | 49 | |
| 10 | 2012 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 6 | |
| 14 | 2015 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 1 |
About Tom Doel
Tom Doel is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (5 papers), Advanced Neural Network Applications (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Medical Image Segmentation Techniques (3 papers), Atomic and Subatomic Physics Research (3 papers), Effects of Radiation Exposure (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Health Informatics (52 citations), Computer Vision and Pattern Recognition (741 citations), Radiology, Nuclear Medicine and Imaging (667 citations), Neurology (234 citations) and Artificial Intelligence (543 citations). Tom Doel has collaborated with scholars based in United Kingdom, Belgium and Portugal. Frequent co-authors include Sébastien Ourselin, Tom Vercauteren, Guotai Wang, Michaël Aertsen, Anna L. David, Jan Deprest, Wenqi Li, Premal A. Patel, Rosalind Pratt and María A. Zuluaga. Their work appears in journals such as Computer Methods and Programs in Biomedicine, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, Computerized Medical Imaging and Graphics and Radiology.
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.