Tom Doel
- Health Informatics top 2%
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- Medical Image Segmentation Techniques 3
- Advanced Neural Network Applications 3
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- Radiomics and Machine Learning in Medical Imaging 2
- Effects of Radiation Exposure 2
- Neurology top 5%
- Artificial Intelligence top 2%
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- Lung Cancer Diagnosis and Treatment 5
- Chronic Obstructive Pulmonary Disease (COPD) Research 2
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- Fetal and Pediatric Neurological Disorders 4
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- Atomic and Subatomic Physics Research 3
- Co-authors
- Sébastien OurselinTom VercauterenGuotai WangWenqi LiMichaël AertsenJan DeprestAnna L. DavidRosalind Pratt
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)Computer Methods and Programs in Biomedicine (2 papers)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- United KingdomBelgiumPortugal
In The Last Decade
Tom Doel
16 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Health Informatics 55
- Computer Vision and Pattern Recognition 681
- Radiology, Nuclear Medicine and Imaging 668
- Neurology 229
- Artificial Intelligence 504
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-authorship network
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 | 2025 | 1 | |
| 2 | 2019 | 143 | |
| 3 | NiftyNet: a deep-learning platform for medical imagingbreakdown → | 2018 | 363 |
| 4 | DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentationbreakdown → | 2018 | 295 |
| 5 | 2018 | 6 | |
| 6 | Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuningbreakdown → | 2018 | 565 |
| 7 | 2017 | 1 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 46 | |
| 10 | 2016 | 46 | |
| 11 | 2016 | 53 | |
| 12 | 2015 | 4 | |
| 13 | 2014 | 49 | |
| 14 | 2014 | 54 | |
| 15 | 2014 | 1 | |
| 16 | 2012 | 27 |
About Tom Doel
Tom Doel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Fetal and Pediatric Neurological Disorders (4 papers), Atomic and Subatomic Physics Research (3 papers), Medical Image Segmentation Techniques (3 papers), Advanced Neural Network Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Health Informatics (55 citations), Computer Vision and Pattern Recognition (681 citations), Radiology, Nuclear Medicine and Imaging (668 citations), Neurology (229 citations) and Artificial Intelligence (504 citations). Tom Doel has collaborated with scholars based in United Kingdom, Belgium and Portugal. Frequent co-authors include Sébastien Ourselin, Tom Vercauteren, Guotai Wang, Wenqi Li, Michaël Aertsen, Jan Deprest, Anna L. David, Rosalind Pratt, Premal A. Patel and María A. Zuluaga. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Computer Methods and Programs in Biomedicine, IEEE Transactions on Medical Imaging, Radiotherapy and Oncology 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.