Research output per year
Research output per year
Personal profile
Biographical details
Marc Modat is a senior lecturer in the school of Biomedical Engineering and Imaging Sciences at King's College London. He is an expert in medical image registration and the main developer of NiftyReg, an open source software for efficient image registration. Over the years, Marc has been developing numerous techniques for registration including near real time registration, biomechanically constrained model or symmetric and invertible diffeomorphisms. He has also developed application-tailored algorithm for surgical guidance, both for brain and musculoskeletal interventions. NiftyReg is currently used in large scale clinical research studies as well as in clinical trials.
His research interests include, amongst others, the development of novel imaging biomarkers, especially for monitoring the elderly brain, using magnetic resonance imaging or positron emission tomography. He is also involved in the development of algorithmic tools for surgical planning and surgical guidance, using model-based and machine learning approaches.
Marc is also involved in the setup and deployment of data analytics platforms, which encompass secured data transfer, storage and automated processing. Such platforms are currently used for large scale international clinical studies.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis
Agarwal, S., Wood, D. A., Modat, M. & Booth, T. C., 31 May 2023, (E-pub ahead of print) In: Journal Of Neurointerventional Surgery. jnis-2023-020218.Research output: Contribution to journal › Letter › peer-review
Open AccessFile14 Downloads (Pure) -
Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit
Nhat, P. T. H., Van hao, N., Tho, P. V., Kerdegari, H., Pisani, L., Thu, L. N. M., Phuong, L. T., Duong, H. T. H., Thuy, D. B., Mcbride, A., Xochicale, M., Schultz, M., Razavi, R., King, A., Thwaites, L., Van vinh chau, N., Yacoub, S., Thao, D. P., Kien, D. T., Thy, D. B. X., & 89 others, 1 Jul 2023, In: CRITICAL CARE. 27, 1, 257 .Research output: Contribution to journal › Article › peer-review
Open Access -
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
Dorent, R., Kujawa, A., Ivory, M., Bakas, S., Rieke, N., Joutard, S., Glocker, B., Cardoso, J., Modat, M., Batmanghelich, K., Belkov, A., Calisto, M. B., Choi, J. W., Dawant, B. M., Dong, H., Escalera, S., Fan, Y., Hansen, L., Heinrich, M. P., Joshi, S., & 20 others, 1 Jan 2023, In: Medical Image Analysis. 83, 102628.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)2 Downloads (Pure) -
Profiling post-COVID-19 condition across different variants of SARS-CoV-2: a prospective longitudinal study in unvaccinated wild-type, unvaccinated alpha-variant, and vaccinated delta-variant populations
Canas, L. S., Molteni, E., Deng, J., Sudre, C. H., Murray, B., Kerfoot, E., Antonelli, M., Rjoob, K., Capdevila Pujol, J., Polidori, L., May, A., Österdahl, M. F., Whiston, R., Cheetham, N. J., Bowyer, V., Spector, T. D., Hammers, A., Duncan, E. L., Ourselin, S., Steves, C. J., & 1 others, Jul 2023, In: The Lancet Digital Health. 5, 7, p. e421-e434Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Profiling post-COVID-19 condition across different variants of SARS-CoV-2: a prospective longitudinal study in unvaccinated wild-type, unvaccinated alpha-variant, and vaccinated delta-variant populations
Canas, L. S., Molteni, E., Deng, J., Sudre, C., Murray, B., Kerfoot, E., Antonelli, M., Rjoob, K., Pujol, J. C., Polidori, L., May, A., Osterdahl, M., Whiston, R., Cheetham, N., Bowyer, V., Spector, T., Hammers, A., Duncan, E., Ourselin, S., Steves, C., & 1 others, Jul 2023, In: The Lancet Digital Health. 5, 7, p. e421-e434Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)
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TwinsUK Imaging: A Resource for Ageing Research
Steves, C., Hajnal, J., Modat, M., Ourselin, S. & Spector, T.
Chronic Disease Research Foundation
1/11/2022 → 31/03/2028
Project: Research
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Artificial intelligence-driven management of brain tumours
Shapey, J., Modat, M. & Vercauteren, T.
1/11/2022 → 31/10/2023
Project: Research
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Wellcome/EPSRC Centre for Medical Engineering Extension
Ourselin, S., Barker, G., Barnes, A., Barrington, S., Bergeles, C., Bishop, M., Blower, P., Booth, T., Botnar, R., Cardoso, J., Carmichael, D., Chiribiri, A., Cook, G., Counsell, S., Dasgupta, P., De Vecchi, A., De Vita, E., Edwards, D., Goh, V., Hajnal, J., Hammers, A., Hutter, J., Ipek, O., King, A., Lamata de la Orden, P., Liu, H., Malik, S., Marsden, P., Modat, M., Niederer, S., Razavi, R., Reader, A., Rhode, K., Roujol, S., Rutherford, M., Shapey, J., Sparks, R., T. M. de Rosales, R., Terry, S., Tournier, J., Vercauteren, T., Williams, S., Xia, W., Young, A. & academic, A.
28/04/2022 → 27/10/2024
Project: Research
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London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare
Razavi, R., Ourselin, S., Schnabel, J., Goh, V., Cardoso, J., Leech, R., Dobson, R., Williams, S., King, A., Modat, M. & Sasieni, P.
1/02/2019 → 31/01/2023
Project: Research