Tom Doel

2.6k total citations · 3 hit papers
16 papers, 1.7k citations indexed

About

Tom Doel is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tom Doel has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tom Doel's work include Lung Cancer Diagnosis and Treatment (5 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Atomic and Subatomic Physics Research (3 papers). Tom Doel is often cited by papers focused on Lung Cancer Diagnosis and Treatment (5 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Atomic and Subatomic Physics Research (3 papers). Tom Doel collaborates with scholars based in United Kingdom, Belgium and Portugal. Tom Doel's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Radiology.

In The Last Decade

Tom Doel

16 papers receiving 1.6k citations

Hit Papers

Interactive Medical Image Segmentation Using Deep Learnin... 2018 2026 2020 2023 2018 2018 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Doel United Kingdom 10 681 668 504 229 223 16 1.7k
Michaël Aertsen Belgium 16 732 1.1× 646 1.0× 604 1.2× 213 0.9× 192 0.9× 61 2.0k
Jie‐Zhi Cheng China 19 433 0.6× 693 1.0× 652 1.3× 85 0.4× 133 0.6× 45 1.4k
Fahmi Khalifa United States 26 831 1.2× 1.4k 2.0× 517 1.0× 224 1.0× 379 1.7× 153 2.5k
Rosalind Pratt United Kingdom 8 527 0.8× 405 0.6× 350 0.7× 179 0.8× 198 0.9× 15 1.1k
Vishwesh Nath United States 17 1.1k 1.7× 1.3k 1.9× 703 1.4× 470 2.1× 384 1.7× 50 2.6k
Xiaohuan Cao China 18 829 1.2× 993 1.5× 416 0.8× 158 0.7× 399 1.8× 52 1.8k
Óscar Cámara Spain 28 606 0.9× 1.1k 1.6× 220 0.4× 118 0.5× 497 2.2× 154 3.0k
Jun Lian United States 21 868 1.3× 1.0k 1.5× 429 0.9× 112 0.5× 411 1.8× 81 2.1k
Jens Kleesiek Germany 21 501 0.7× 994 1.5× 503 1.0× 436 1.9× 243 1.1× 107 2.3k

Countries citing papers authored by Tom Doel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tom Doel

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Doel. A scholar is included among the top collaborators of Tom Doel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Doel. Tom Doel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Montagnese, Marcella, Tom Doel, David J. Llewellyn, et al.. (2025). Cloud computing for equitable, data-driven dementia medicine. The Lancet Digital Health. 7(11). 100902–100902. 1 indexed citations
2.
Ebner, Michael, Guotai Wang, Wenqi Li, et al.. (2019). An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage. 206. 116324–116324. 143 indexed citations
3.
Gibson, Eli, Wenqi Li, Carole H. Sudre, et al.. (2018). NiftyNet: a deep-learning platform for medical imaging. Computer Methods and Programs in Biomedicine. 158. 113–122. 363 indexed citations breakdown →
4.
Wang, Guotai, María A. Zuluaga, Wenqi Li, et al.. (2018). DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(7). 1559–1572. 295 indexed citations breakdown →
5.
Veiga, Catarina, David Landau, Anand Devaraj, et al.. (2018). Novel CT-Based Objective Imaging Biomarkers of Long-Term Radiation-Induced Lung Damage. International Journal of Radiation Oncology*Biology*Physics. 102(4). 1287–1298. 6 indexed citations
6.
Wang, Guotai, Wenqi Li, María A. Zuluaga, et al.. (2018). Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Transactions on Medical Imaging. 37(7). 1562–1573. 565 indexed citations breakdown →
7.
Veiga, Catarina, David Landau, Anand Devaraj, et al.. (2017). EP-1712: Quantification of radiotherapy-induced mediastinum changes using serial CT imaging. Radiotherapy and Oncology. 123. S938–S939. 1 indexed citations
8.
Veiga, Catarina, David Landau, Anand Devaraj, et al.. (2017). Quantification of Radiation Therapy-Induced Diaphragmatic Changes Using Serial CT Imaging. International Journal of Radiation Oncology*Biology*Physics. 99(2). S12–S12. 1 indexed citations
9.
Doel, Tom, Dzhoshkun I. Shakir, Rosalind Pratt, et al.. (2016). GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. Computer Methods and Programs in Biomedicine. 139. 181–190. 46 indexed citations
10.
Matin, Tahreema, Najib M. Rahman, Annabel H. Nickol, et al.. (2016). Chronic Obstructive Pulmonary Disease: Lobar Analysis with Hyperpolarized 129Xe MR Imaging. Radiology. 282(3). 857–868. 46 indexed citations
11.
Wang, Guotai, María A. Zuluaga, Rosalind Pratt, et al.. (2016). Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. Medical Image Analysis. 34. 137–147. 53 indexed citations
12.
Burrowes, Kelly, Tom Doel, Minsuok Kim, et al.. (2015). A combined image-modelling approach assessing the impact of hyperinflation due to emphysema on regional ventilation–perfusion matching. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 5(2). 110–126. 4 indexed citations
13.
Doel, Tom, David J. Gavaghan, & Vicente Grau. (2014). Review of automatic pulmonary lobe segmentation methods from CT. Computerized Medical Imaging and Graphics. 40. 13–29. 49 indexed citations
14.
Burrowes, Kelly, Tom Doel, & Christopher E. Brightling. (2014). Computational modeling of the obstructive lung diseases asthma and COPD. Journal of Translational Medicine. 12(Suppl 2). S5–S5. 54 indexed citations
16.
Doel, Tom, Tahreema Matin, Fergus Gleeson, David J. Gavaghan, & Vicente Grau. (2012). Pulmonary lobe segmentation from CT images using fissureness, airways, vessels and multilevel B-splines. 1491–1494. 27 indexed citations

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.

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