Dr Marc Modat
Reader
Research interests
- Biomedical and life sciences
Contact details
Biography
Marc Modat is a Reader in the School of Biomedical Engineering & 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.
Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports
Agarwal, S., Wood, D., Murray, B. A. K., Wei, Y., Busaidi, A. A., Kafiabadi, S., Guilhem, E., Lynch, J., Townend, M., Mazumder, A., Barker, G. J., Cole, J. H., Sasieni, P., Ourselin, S., Modat, M. & Booth, T. C., 17 Mar 2025, (E-pub ahead of print) In: European Radiology. 102391.Research output: Contribution to journal › Article › peer-review
Symptom Evolution in Individuals with Ongoing Symptomatic COVID-19 and Post COVID-19 Syndrome After SARS-CoV-2 Vaccination Versus Influenza Vaccination
Rjoob, K., Antonelli, M., Murray, B., Molteni, E., Cheetham, N., Canas, L. S., Modat, M., Pujol, J. C., Hu, C., Bowyer, V., Wolf, J., Spector, T. D., Ourselin, S., Hammers, A., Duncan, E. L., Steves, C. J. & Sudre, C. H., 10 Jan 2025, (E-pub ahead of print) In: The Journal of infection. 90, 2, p. 106406 106406.Research output: Contribution to journal › Article › peer-review
Monai: An open-source framework for deep learning in healthcare
Cardoso, M. J., Li, W., Brown, R., Ma, N., Kerfoot, E., Wang, Y., Murrey, B., Myronenko, A., Zhao, C., Yang, D., Nath, V., He, Y., Xu, Z., Hatamizadeh, A., Myronenko, A., Zhu, W., Liu, Y., Zheng, M., Tang, Y. & Yang, I. & 37 others, Zephyr, M., Hashemian, B., Alle, S., Darestani, M. Z., Budd, C., Modat, M., Vercauteren, T., Wang, G., Li, Y., Hu, Y., Fu, Y., Gorman, B., Johnson, H., Genereaux, B., Erdal, B. S., Gupta, V., Diaz-Pinto, A., Dourson, A., Maier-Hein, L., Jaeger, P. F., Baumgartner, M., Kalpathy-Cramer, J., Flores, M., Kirby, J., Cooper, L. A. D., Roth, H. R., Xu, D., Bericat, D., Floca, R., Zhou, S. K., Shuaib, H., Farahani, K., Maier-Hein, K. H., Aylward, S., Dogra, P., Ourselin, S. & Feng, A., 4 Nov 2022.Research output: Working paper/Preprint › Preprint
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
Daga, K., Agarwal, S., Moti, Z., Lee, M., Din, M., Wood, D., Modat, M. & Booth, T., 15 Nov 2024, (E-pub ahead of print) In: Clinical neuroradiology.Research output: Contribution to journal › Review article › peer-review
Lazy Resampling: fast and information preserving preprocessing for deep learning
Murray, B., Brown, R., Ma, P., Kerfoot, E., Xu, D., Feng, A., Cardoso, J., Ourselin, S. & Modat, M., Dec 2024, In: Computer Methods and Programs in Biomedicine. 257, 108422.Research output: Contribution to journal › Article › peer-review
Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning
Nderitu, P., Nunez do Rio, J. M., Webster, L., Mann, S., Cardoso, M. J., Modat, M., Hopkins, D., Bergeles, C. & Jackson, T. L., 21 Aug 2024, In: Communications Medicine. 4, 1, p. 167 167.Research output: Contribution to journal › Article › peer-review
Knowledge barriers in a national symptomatic-COVID-19 testing programme
Graham, M. S., May, A., Varsavsky, T., Sudre, C. H., Murray, B., Kläser, K., Antonelli, M., Canas, L. S., Molteni, E., Modat, M., Cardoso, M. J., Drew, D. A., Nguyen, L. H., Rader, B., Hu, C., Capdevila, J., Hammers, A., Chan, A. T., Wolf, J. & Brownstein, J. S. & 4 others, Spector, T. D., Ourselin, S., Steves, C. J. & Astley, C. M., 19 Jan 2022, In: PLOS Global Public Health. 2, 1, e0000028.Research output: Contribution to journal › Article › peer-review
Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning
Nderitu, P., Nunez do Rio, J., Webster, M. L., Mann, S., Cardoso, M. J., Modat, M., Hopkins, D., Bergeles, C. & Jackson, T., 21 Aug 2024, In: Communications Medicine. 4, 1, 167.Research output: Contribution to journal › Article › peer-review
Acceptance and User Experiences of a Wearable Device for the Management of Hospitalized Patients in COVID-19-Designated Wards in Ho Chi Minh City, Vietnam: Action Learning Project
Vietnam ICU Translational Applications Laboratory (VITAL), Jan 2024, In: JMIR Human Factors. 11, 1, e44619.Research output: Contribution to journal › Article › peer-review
Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
Agarwal, S., Wood, D., Carpenter, R., Wei, Y., Modat, M. & Booth, T. C., 13 Mar 2024, (Accepted/In press) In: Clinical Radiology.Research output: Contribution to journal › Letter › peer-review
Operationalizing the centiloid scale for [18F]florbetapir PET studies on PET/MRI
Coath, W., Modat, M., Cardoso, M. J., Markiewicz, P. J., Lane, C. A., Parker, T. D., Keshavan, A., Buchanan, S. M., Keuss, S. E., Harris, M. J., Burgos, N., Dickson, J., Barnes, A., Thomas, D. L., Beasley, D., Malone, I. B., Wong, A., Erlandsson, K., Thomas, B. A. & Schöll, M. & 5 others, Ourselin, S., Richards, M., Fox, N. C., Schott, J. M. & Cash, D. M., 1 Apr 2023, In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 15, 2, e12434.Research output: Contribution to journal › Article › peer-review
Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study)
Chelliah, A., Wood, D. A., Canas, L. S., Shuaib, H., Currie, S., Fatania, K., Frood, R., Rowland-Hill, C., Thust, S., Wastling, S. J., Tenant, S., McBain, C., Foweraker, K., Williams, M., Wang, Q., Roman, A., Dragos, C., MacDonald, M., Lau, Y. H. & Linares, C. A. & 20 others, Bassiouny, A., Luis, A., Young, T., Brock, J., Chandy, E., Beaumont, E., Lam, T. C., Welsh, L., Lewis, J., Mathew, R., Kerfoot, E., Brown, R., Beasley, D., Glendenning, J., Brazil, L., Swampillai, A., Ashkan, K., Ourselin, S., Modat, M. & Booth, T. C., 1 Jun 2024, In: Neuro-oncology. 26, 6, p. 1138-1151 14 p.Research output: Contribution to journal › Article › peer-review
Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults
Zazzara, M. B., Penfold, R. S., Roberts, A. L., Lee, K. A., Dooley, H., Sudre, C. H., Welch, C., Bowyer, R. C. E., Visconti, A., Mangino, M., Freidin, M. B., El-Sayed Moustafa, J. S., Small, K. S., Murray, B., Modat, M., Graham, M. S., Wolf, J., Ourselin, S., Martin, F. C. & Steves, C. J. & 1 others, Lochlainn, M. N., 8 Jan 2021, In: Age and Ageing. 50, 1, p. 40-48 9 p.Research output: Contribution to journal › Article › peer-review
Machine Learning for Alzheimer’s Disease and Related Dementias
Modat, M., Cash, D. M., Dos Santos Canas, L., Bocchetta, M. & Ourselin, S., 2023, Neuromethods. Humana Press Inc, p. 807-846 40 p. (Neuromethods; vol. 197).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Author Correction: Volumetric MRI is a promising outcome measure of muscle reinnervation (Scientific Reports, (2021), 11, 1, (22433), 10.1038/s41598-021-01342-y)
Wilcox, M., Dos Santos Canas, L., Hargunani, R., Tidswell, T., Brown, H., Modat, M., Phillips, J. B., Ourselin, S. & Quick, T., Dec 2021, In: Scientific Reports. 11, 1, 23794.Research output: Contribution to journal › Comment/debate › peer-review
Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies
Ghimire, P., Kinnersley, B., Karami, G., Arumugam, P., Houlston, R., Ashkan, K., Modat, M. & Booth, T. C., 5 Apr 2024, In: Neuro-Oncology Advances. 6, 1, p. vdae055 vdae055.Research output: Contribution to journal › Article › peer-review
Courage in decision-making: A mixed-methods study of COVID-19 vaccine uptake in women of reproductive age in the UK
Magee, L., Brown, J. R. B., Bowyer, V., Horgan, G., Boulding, H., Khalil, A., Cheetham, N., Harvey, N., The CSSB Study Group, The RESILIENT Study Group, Mistry, H., Sudre, C. H., Silverio, S. A., von Dadelszen, P. & Duncan, E., 18 Apr 2024, In: Vaccines. 12, 4, p. 1-16 440.Research output: Contribution to journal › Article › peer-review
Symptoms before and after COVID-19: a population and case-control study using prospective data
Sudre, C. H., Antonelli, M., Cheetham, N. J., Molteni, E., Canas, L. S., Bowyer, V., Murray, B., Rjoob, K., Modat, M., Capdevila Pujol, J., Hu, C., Wolf, J., Spector, T. D., Hammers, A., Steves, C. J., Ourselin, S. & Duncan, E. L., 4 Apr 2024, (E-pub ahead of print) In: European Respiratory Journal. 64, 1, 2301853.Research output: Contribution to journal › Article › peer-review
Symptoms before and after COVID-19: a population and case-control study using prospective data
Sudre, C. H., Antonelli, M., Cheetham, N., Molteni, E., Dos Santos Canas, L., Bowyer, V., Murray, B., Rjoob, K., Modat, M., Pujol, J. C., Hu, C., Wolf, J., Spector, T., Hammers, A., Steves, C., Ourselin, S. & Duncan, E., 18 Jul 2024, In: ERJ Open Research.Research output: Contribution to journal › Article › peer-review
Effect of socioeconomic deprivation as determined by the English deprivation deciles on the progression of diabetic retinopathy and maculopathy: a multivariate case-control analysis of 88 910 patients attending a South-East London diabetic eye screening service
Giannakis, P., Nderitu, P., Nunez do Rio, J. M., Webster, L., Mann, S., Hopkins, D., Cardoso, M. J., Modat, M., Bergeles, C. & Jackson, T. L., 28 Jun 2023, (E-pub ahead of print) In: The British journal of ophthalmology.Research output: Contribution to journal › Article › peer-review
SARS-CoV-2 infection following booster vaccination: illness and symptom profile in a prospective, observational community-based case-control study
Antonelli, M., Penfold, R. S., Canas, L. D. S., Sudre, C., Rjoob, K., Murray, B., Molteni, E., Kerfoot, E., Cheetham, N., Pujol, J. C., Polidori, L., May, A., Wolf, J., Modat, M., Spector, T., Hammers, A., Ourselin, S. & Steves, C., Dec 2023, In: The Journal of infection. 87, 6, p. 506-515 10 p.Research output: Contribution to journal › Article › peer-review
The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study
Cheetham, N. J., Penfold, R., Giunchiglia, V., Bowyer, V., Sudre, C. H., Canas, L. S., Deng, J., Murray, B., Kerfoot, E., Antonelli, M., Rjoob, K., Molteni, E., Österdahl, M. F., Harvey, N. R., Trender, W. R., Malim, M. H., Doores, K. J., Hellyer, P. J., Modat, M. & Hammers, A. & 4 others, Ourselin, S., Duncan, E. L., Hampshire, A. & Steves, C. J., Aug 2023, In: EClinicalMedicine. 62, 102086.Research output: Contribution to journal › Article › peer-review
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, Modat, M., Jul 2023, In: The Lancet Digital Health. 5, 7, p. e421-e434Research output: Contribution to journal › Article › peer-review
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, Trinh, D. H. K., Duc, D. H., Geskus, R., Hai, H. B., Chanh, H. Q., Van hien, H., Trieu, H. T., Kestelyn, E., Yen, L. M., Van khoa, L. D., Phuong, L. T., Khanh, L. T. T., Tran, L. H. B., An, L. P., Mcbride, A., Vuong, N. L., Huy, N. Q., Quyen, N. T. H., Ngoc, N. T., Giang, N. T., Trinh, N. T. D., Le thanh, N. T., Dung, N. T. P., Thao, N. T. P., Van, N. T. T., Kieu, P. T., Khanh, P. N. Q., Lam, P. K., Nhat, P. T. H., Thwaites, G., Thwaites, L., Duc, T. M., Hung, T. M., Turner, H., Van nuil, J. I., Hoang, V. T., Huyen, V. N. T., Yacoub, S., Tam, C. T., Thuy, D. B., Duong, H. T. H., Nghia, H. D. T., Chau, L. B., Toan, L. M., Thu, L. N. M., Thao, L. T. M., Tai, L. T. H., Phu, N. H., Viet, N. Q., Dung, N. T., Nguyen, N. T., Phong, N. T., Anh, N. T. K., Van hao, N., Van thanh duoc, N., Oanh, P. K. N., Van, P. T. H., Qui, P. T., Tho, P. V., Thao, T. T. P., Ali, N., Clifton, D., English, M., Hagenah, J., Lu, P., Mcknight, J., Paton, C., Zhu, T., Georgiou, P., Perez, B. H., Hill-Cawthorne, K., Holmes, A., Karolcik, S., Ming, D., Moser, N., Manzano, J. R., Canas, L., Gomez, A., Kerdegari, H., King, A., Modat, M., Razavi, R., Xochicale, M., Karlen, W., Denehy, L., Rollinson, T., Pisani, L., Schultz, M. & Gomez, A., 1 Jul 2023, In: CRITICAL CARE. 27, 1, 257 .Research output: Contribution to journal › Article › peer-review
Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection
Agarwal, S., Wood, D., Grzeda, M., Suresh, C., Din, M., Cole, J., Modat, M. & Booth, T. C., Dec 2023, In: Clinical neuroradiology. 33, 4, p. 943-956 14 p.Research output: Contribution to journal › Article › peer-review
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., 1 Oct 2023, In: Journal Of Neurointerventional Surgery. 15, 10, p. 1056-1057 2 p., jnis-2023-020218.Research output: Contribution to journal › Letter › peer-review
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, Modat, M., Jul 2023, In: The Lancet Digital Health. 5, 7, p. e421-e434Research output: Contribution to journal › Article › peer-review
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D., Edwards, D., Hajnal, J., Modat, M. & Deprez, M., 22 Sept 2022, Lecture Notes in Computer Science. Springer, Vol. 13575.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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, Kashtanova, V., Kim, H. G., Kondo, S., Kruse, C. N., Lai-Yuen, S. K., Li, H., Liu, H., Ly, B., Oguz, I., Shin, H., Shirokikh, B., Su, Z., Wang, G., Wu, J., Xu, Y., Yao, K., Zhang, L., Ourselin, S., Shapey, J. & Vercauteren, T., 1 Jan 2023, In: Medical Image Analysis. 83, 102628.Research output: Contribution to journal › Article › peer-review
Federated learning enables big data for rare cancer boundary detection
Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S.-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K. & Zenk, M. & 259 others, Bendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Quintero, C. B., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M.-S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., Lamontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., Mckinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S.-K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., Van der voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., Van den bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T.-C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A.-C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu’aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., 5 Dec 2022, In: Nature Communications. 13, 1, 7346 .Research output: Contribution to journal › Article › peer-review
Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta- analysis
Booth, T., Modat, M., Grzeda, M., Agarwal, S. & Wood, D., 11 Oct 2022, (Accepted/In press) In: Journal Of Neurointerventional Surgery. 019456.Research output: Contribution to journal › Article › peer-review
Driving Points Prediction For Abdominal Probabilistic Registration
Joutard, S., Dorent, R., Ourselin, S., Vercauteren, T. & Modat, M., 18 Sept 2022, Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Putaminal diffusion tensor imaging measures predict disease severity across human prion diseases
Hyare, H., De Vita, E., Porter, M. C., Simpson, I., Ridgway, G., Lowe, J., Thompson, A., Carswell, C., Ourselin, S., Modat, M., Dos Santos Canas, L., Caine, D., Fox, Z., Rudge, P., Collinge, J., Mead, S. & Thornton, J. S., 2020, In: Brain Communications. 2, 1, fcaa032.Research output: Contribution to journal › Article › peer-review
Individual Factors Including Age, BMI, and Heritable Factors Underlie Temperature Variation in Sickness and in Health: An Observational, Multi-cohort Study
GSTT Covid Collaborative , Penfold, R. S., Zazzara, M. B., Österdahl, M. F., Welch, C., Ni Lochlainn, M., Freidin, M. B., Bowyer, R. C. E., Thompson, E. J., Antonelli, M., Tan, Y. X. R., Sudre, C. H., Modat, M., Murray, B., Wolf, J., Ourselin, S., Veenith, T., Lord, J. M. & Steves, C. J., Sept 2022, In: The journals of gerontology. Series A, Biological sciences and medical sciences. 77, 9, p. 1890-1897 8 p.Research output: Contribution to journal › Article › peer-review
COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study
COVID-19 Genomics U. K. (COG-UK) Consortium, 28 Jun 2022, In: Scientific Reports. 12, 1, p. 10904 10904.Research output: Contribution to journal › Article › peer-review
Post-vaccination infection rates and modification of COVID-19 symptoms in vaccinated UK school-aged children and adolescents: A prospective longitudinal cohort study
Molteni, E., Canas, L. S., Kläser, K., Deng, J., Bhopal, S. S., Hughes, R. C., Chen, L., Murray, B., Kerfoot, E., Antonelli, M., Sudre, C. H., Pujol, J. C., Polidori, L., May, A., Hammers, P. A., Wolf, J., Spector, P. T. D., Steves, C. J., Ourselin, P. S. & Absoud, M. & 2 others, Modat, M. & Duncan, P. E. L., Aug 2022, In: The Lancet Regional Health - Europe. 19, 100429.Research output: Contribution to journal › Article › peer-review
Automated image curation in diabetic retinopathy screening using deep learning
Nderitu, P., Nunez do Rio, J. M., Webster, M. L., Mann, S. S., Hopkins, D., Cardoso, M. J., Modat, M., Bergeles, C. & Jackson, T. L., Dec 2022, In: Scientific Reports. 12, 1, 11196.Research output: Contribution to journal › Article › peer-review
Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study
Menni, C., Valdes, A. M., Polidori, L., Antonelli, M., Penamakuri, S., Nogal, A., Louca, P., May, A., Figueiredo, J. C., Hu, C., Molteni, E., Canas, L., Österdahl, M. F., Modat, M., Sudre, C. H., Fox, B., Hammers, A., Wolf, J., Capdevila, J. & Chan, A. T. & 4 others, David, S. P., Steves, C. J., Ourselin, S. & Spector, T. D., 23 Apr 2022, In: Lancet. 399, 10335, p. 1618-1624 7 p.Research output: Contribution to journal › Article › peer-review
A Pareto front based methodology to better assess medical image registration algorithms
Joutard, S., Dorent, R., Vercauteren, T. & Modat, M., 4 Apr 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). 120322R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
A multi-organ point cloud registration algorithm for abdominal CT registration
Joutard, S., Pheiffer, T., Audigier, C., Wohlfahrt, P., Dorent, R., Piat, S., Juergens, M., Vercauteren, T., Modat, M. & Mansi, T., 2022, Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M. & Rueckert, D. (eds.). p. 75–84 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13386 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review
Vietnam ICU Translational Applications Laboratory (VITAL), Feb 2022, In: Journal of Medical Internet Research. 24, 2, e32392.Research output: Contribution to journal › Review article › peer-review
Emerging Treatments for Disorders of Consciousness in Paediatric Age
Irzan, H., Pozzi, M., Chikhladze, N., Cebanu, S., Tadevosyan, A., Calcii, C., Tsiskaridze, A., Melbourne, A., Strazzer, S., Modat, M. & Molteni, E., Feb 2022, In: Brain Sciences. 12, 2, p. e198 198.Research output: Contribution to journal › Article › peer-review
Imaging biomarkers of glioblastoma treatment response: a systematic review and meta-analysis of recent machine learning studies" has been approved for production and accepted for publication in Frontiers in Oncology, section Cancer Imaging and Image-directed Interventions
Booth, T. C., Grzeda, M., Chelliah, A., Roman, A., Al busaidi, A., Dragos, C., Shuaib, H., Luis, A., Mirchandani, A., Alparslan, B., Mansoor, N., Lavrador, J., Vergani, F., Ashkan, K., Modat, M. & Ourselin, S., 2022, In: Frontiers in oncology. 12Research output: Contribution to journal › Article › peer-review
Author Correction: Attributes and predictors of long COVID (Nature Medicine, (2021), 27, 4, (626-631), 10.1038/s41591-021-01292-y)
Sudre, C. H., Murray, B., Varsavsky, T., Graham, M. S., Penfold, R. S., Bowyer, R. C., Pujol, J. C., Klaser, K., Antonelli, M., Canas, L. S., Molteni, E., Modat, M., Jorge Cardoso, M., May, A., Ganesh, S., Davies, R., Nguyen, L. H., Drew, D. A., Astley, C. M. & Joshi, A. D. & 13 others, Merino, J., Tsereteli, N., Fall, T., Gomez, M. F., Duncan, E. L., Menni, C., Williams, F. M. K., Franks, P. W., Chan, A. T., Wolf, J., Ourselin, S., Spector, T. & Steves, C. J., Jun 2021, In: Nature Medicine. 27, 6, p. 1116 1 p.Research output: Contribution to journal › Comment/debate › peer-review
COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study
Klaser, K., Molteni, E., Graham, M., Dos Santos Canas, L., Osterdahl, M., Antonelli, M., Chen, L., Deng, J., Murray, B., Kerfoot, E., Wolf, J., May, A., Fox, B., Capdevila, J., Modat, M., Hammers, A., Spector, T. D., Steves, C. J., Sudre, C. H. & Ourselin, S. & 1 others, Duncan, E. L., 31 May 2022, (Accepted/In press) In: Annals of internal medicine.Research output: Contribution to journal › Article › peer-review
Volumetric MRI is a promising outcome measure of muscle reinnervation
Wilcox, M., Dos Santos Canas, L., Hargunani, R., Tidswell, T., Brown, H., Modat, M., Phillips, J. B., Ourselin, S. & Quick, T., Dec 2021, In: Scientific Reports. 11, 1, 22433.Research output: Contribution to journal › Article › peer-review
Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app
Klaser, K., Thompson, E. J., Nguyen, L. H., Sudre, C. H., Antonelli, M., Murray, B., Canas, L. S., Molteni, E., Graham, M. S., Kerfoot, E., Chen, L., Deng, J., May, A., Hu, C., Guest, A., Selvachandran, S., Drew, D. A., Modat, M., Chan, A. T. & Wolf, J. & 5 others, Spector, T. D., Hammers, A., Duncan, E. L., Ourselin, S. & Steves, C. J., 16 Nov 2021, In: Journal of Neurology, Neurosurgery and Psychiatry. 92, 12, p. 1254-1258 5 p.Research output: Contribution to journal › Article
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
Casamitjana, A., Lorenzi, M., Ferraris, S., Peter, L., Modat, M., Stevens, A., Fischl, B., Vercauteren, T. & Iglesias, J. E., Jan 2022, In: Medical Image Analysis. 75, p. 102265 102265.Research output: Contribution to journal › Article › peer-review
Illness characteristics of COVID-19 in children infected with the SARS-CoV-2 Delta variant
Molteni, E., Sudre, C. H., Dos Santos Canas, L., Bhopal, S. S., Hughes, R. C., Chen, L., Deng, J., Murray, B., Kerfoot, E., Antonelli, M., Graham, M., Klaser, K., May, A., Hu, C., Pujol, J. C., Wolf, J., Hammers, A., Spector, T., Ourselin, S. & Modat, M. & 3 others, Steves, C., Absoud, M. & Duncan, E., 3 May 2022, In: Children (Basel, Switzerland). 9, 5, 652.Research output: Contribution to journal › Article › peer-review
Uncertainty-Aware Deep Learning Based Deformable Registration
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D., Edwards, A. D., Hajnal, J. V., Modat, M. & Deprez, M., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-63 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
News
FoLSM researchers featured in 2023 Highly Cited Researcher List
Academics from the Faculty of Life Sciences & Medicine have been named on the annual Highly Cited Researcher 2023 list from Clarivate
Three types of long-COVID for people experiencing symptoms for 12 weeks or more
New research shows at least three distinct ‘types’ of long covid for people experiencing symptoms for 12 weeks or more.
Pfizer vaccine reduces the risk of COVID-19 infection in children
A single dose of the Pfizer vaccine reduces the risk of COVID-19 infection in children, new research has found. Data also showed a single dose made infection...
Double vaccination halves risk of Long COVID
Adults who have received a double vaccination are 49% less likely to have Long COVID should they contract a COVID-19 infection.
Early COVID-19 symptoms differ among age groups, research finds
Symptoms for early COVID-19 infection differ among age groups and between men and women, new research has found.
Changes should be made to routine scans for brain tumours, say researchers
A new Position Statement from UK stakeholders highlights evidence gaps for routine follow up brain tumor imaging, but paves the way for evidence-based imaging
Healthy pregnant women do not fall more seriously ill from COVID-19
A new pre-print study by King’s shows that healthy pregnant women do not differ in how severely they are likely to fall ill from COVID-19 compared with...
Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports
Agarwal, S., Wood, D., Murray, B. A. K., Wei, Y., Busaidi, A. A., Kafiabadi, S., Guilhem, E., Lynch, J., Townend, M., Mazumder, A., Barker, G. J., Cole, J. H., Sasieni, P., Ourselin, S., Modat, M. & Booth, T. C., 17 Mar 2025, (E-pub ahead of print) In: European Radiology. 102391.Research output: Contribution to journal › Article › peer-review
Symptom Evolution in Individuals with Ongoing Symptomatic COVID-19 and Post COVID-19 Syndrome After SARS-CoV-2 Vaccination Versus Influenza Vaccination
Rjoob, K., Antonelli, M., Murray, B., Molteni, E., Cheetham, N., Canas, L. S., Modat, M., Pujol, J. C., Hu, C., Bowyer, V., Wolf, J., Spector, T. D., Ourselin, S., Hammers, A., Duncan, E. L., Steves, C. J. & Sudre, C. H., 10 Jan 2025, (E-pub ahead of print) In: The Journal of infection. 90, 2, p. 106406 106406.Research output: Contribution to journal › Article › peer-review
Monai: An open-source framework for deep learning in healthcare
Cardoso, M. J., Li, W., Brown, R., Ma, N., Kerfoot, E., Wang, Y., Murrey, B., Myronenko, A., Zhao, C., Yang, D., Nath, V., He, Y., Xu, Z., Hatamizadeh, A., Myronenko, A., Zhu, W., Liu, Y., Zheng, M., Tang, Y. & Yang, I. & 37 others, Zephyr, M., Hashemian, B., Alle, S., Darestani, M. Z., Budd, C., Modat, M., Vercauteren, T., Wang, G., Li, Y., Hu, Y., Fu, Y., Gorman, B., Johnson, H., Genereaux, B., Erdal, B. S., Gupta, V., Diaz-Pinto, A., Dourson, A., Maier-Hein, L., Jaeger, P. F., Baumgartner, M., Kalpathy-Cramer, J., Flores, M., Kirby, J., Cooper, L. A. D., Roth, H. R., Xu, D., Bericat, D., Floca, R., Zhou, S. K., Shuaib, H., Farahani, K., Maier-Hein, K. H., Aylward, S., Dogra, P., Ourselin, S. & Feng, A., 4 Nov 2022.Research output: Working paper/Preprint › Preprint
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
Daga, K., Agarwal, S., Moti, Z., Lee, M., Din, M., Wood, D., Modat, M. & Booth, T., 15 Nov 2024, (E-pub ahead of print) In: Clinical neuroradiology.Research output: Contribution to journal › Review article › peer-review
Lazy Resampling: fast and information preserving preprocessing for deep learning
Murray, B., Brown, R., Ma, P., Kerfoot, E., Xu, D., Feng, A., Cardoso, J., Ourselin, S. & Modat, M., Dec 2024, In: Computer Methods and Programs in Biomedicine. 257, 108422.Research output: Contribution to journal › Article › peer-review
Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning
Nderitu, P., Nunez do Rio, J. M., Webster, L., Mann, S., Cardoso, M. J., Modat, M., Hopkins, D., Bergeles, C. & Jackson, T. L., 21 Aug 2024, In: Communications Medicine. 4, 1, p. 167 167.Research output: Contribution to journal › Article › peer-review
Knowledge barriers in a national symptomatic-COVID-19 testing programme
Graham, M. S., May, A., Varsavsky, T., Sudre, C. H., Murray, B., Kläser, K., Antonelli, M., Canas, L. S., Molteni, E., Modat, M., Cardoso, M. J., Drew, D. A., Nguyen, L. H., Rader, B., Hu, C., Capdevila, J., Hammers, A., Chan, A. T., Wolf, J. & Brownstein, J. S. & 4 others, Spector, T. D., Ourselin, S., Steves, C. J. & Astley, C. M., 19 Jan 2022, In: PLOS Global Public Health. 2, 1, e0000028.Research output: Contribution to journal › Article › peer-review
Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning
Nderitu, P., Nunez do Rio, J., Webster, M. L., Mann, S., Cardoso, M. J., Modat, M., Hopkins, D., Bergeles, C. & Jackson, T., 21 Aug 2024, In: Communications Medicine. 4, 1, 167.Research output: Contribution to journal › Article › peer-review
Acceptance and User Experiences of a Wearable Device for the Management of Hospitalized Patients in COVID-19-Designated Wards in Ho Chi Minh City, Vietnam: Action Learning Project
Vietnam ICU Translational Applications Laboratory (VITAL), Jan 2024, In: JMIR Human Factors. 11, 1, e44619.Research output: Contribution to journal › Article › peer-review
Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
Agarwal, S., Wood, D., Carpenter, R., Wei, Y., Modat, M. & Booth, T. C., 13 Mar 2024, (Accepted/In press) In: Clinical Radiology.Research output: Contribution to journal › Letter › peer-review
Operationalizing the centiloid scale for [18F]florbetapir PET studies on PET/MRI
Coath, W., Modat, M., Cardoso, M. J., Markiewicz, P. J., Lane, C. A., Parker, T. D., Keshavan, A., Buchanan, S. M., Keuss, S. E., Harris, M. J., Burgos, N., Dickson, J., Barnes, A., Thomas, D. L., Beasley, D., Malone, I. B., Wong, A., Erlandsson, K., Thomas, B. A. & Schöll, M. & 5 others, Ourselin, S., Richards, M., Fox, N. C., Schott, J. M. & Cash, D. M., 1 Apr 2023, In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 15, 2, e12434.Research output: Contribution to journal › Article › peer-review
Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study)
Chelliah, A., Wood, D. A., Canas, L. S., Shuaib, H., Currie, S., Fatania, K., Frood, R., Rowland-Hill, C., Thust, S., Wastling, S. J., Tenant, S., McBain, C., Foweraker, K., Williams, M., Wang, Q., Roman, A., Dragos, C., MacDonald, M., Lau, Y. H. & Linares, C. A. & 20 others, Bassiouny, A., Luis, A., Young, T., Brock, J., Chandy, E., Beaumont, E., Lam, T. C., Welsh, L., Lewis, J., Mathew, R., Kerfoot, E., Brown, R., Beasley, D., Glendenning, J., Brazil, L., Swampillai, A., Ashkan, K., Ourselin, S., Modat, M. & Booth, T. C., 1 Jun 2024, In: Neuro-oncology. 26, 6, p. 1138-1151 14 p.Research output: Contribution to journal › Article › peer-review
Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults
Zazzara, M. B., Penfold, R. S., Roberts, A. L., Lee, K. A., Dooley, H., Sudre, C. H., Welch, C., Bowyer, R. C. E., Visconti, A., Mangino, M., Freidin, M. B., El-Sayed Moustafa, J. S., Small, K. S., Murray, B., Modat, M., Graham, M. S., Wolf, J., Ourselin, S., Martin, F. C. & Steves, C. J. & 1 others, Lochlainn, M. N., 8 Jan 2021, In: Age and Ageing. 50, 1, p. 40-48 9 p.Research output: Contribution to journal › Article › peer-review
Machine Learning for Alzheimer’s Disease and Related Dementias
Modat, M., Cash, D. M., Dos Santos Canas, L., Bocchetta, M. & Ourselin, S., 2023, Neuromethods. Humana Press Inc, p. 807-846 40 p. (Neuromethods; vol. 197).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Author Correction: Volumetric MRI is a promising outcome measure of muscle reinnervation (Scientific Reports, (2021), 11, 1, (22433), 10.1038/s41598-021-01342-y)
Wilcox, M., Dos Santos Canas, L., Hargunani, R., Tidswell, T., Brown, H., Modat, M., Phillips, J. B., Ourselin, S. & Quick, T., Dec 2021, In: Scientific Reports. 11, 1, 23794.Research output: Contribution to journal › Comment/debate › peer-review
Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies
Ghimire, P., Kinnersley, B., Karami, G., Arumugam, P., Houlston, R., Ashkan, K., Modat, M. & Booth, T. C., 5 Apr 2024, In: Neuro-Oncology Advances. 6, 1, p. vdae055 vdae055.Research output: Contribution to journal › Article › peer-review
Courage in decision-making: A mixed-methods study of COVID-19 vaccine uptake in women of reproductive age in the UK
Magee, L., Brown, J. R. B., Bowyer, V., Horgan, G., Boulding, H., Khalil, A., Cheetham, N., Harvey, N., The CSSB Study Group, The RESILIENT Study Group, Mistry, H., Sudre, C. H., Silverio, S. A., von Dadelszen, P. & Duncan, E., 18 Apr 2024, In: Vaccines. 12, 4, p. 1-16 440.Research output: Contribution to journal › Article › peer-review
Symptoms before and after COVID-19: a population and case-control study using prospective data
Sudre, C. H., Antonelli, M., Cheetham, N. J., Molteni, E., Canas, L. S., Bowyer, V., Murray, B., Rjoob, K., Modat, M., Capdevila Pujol, J., Hu, C., Wolf, J., Spector, T. D., Hammers, A., Steves, C. J., Ourselin, S. & Duncan, E. L., 4 Apr 2024, (E-pub ahead of print) In: European Respiratory Journal. 64, 1, 2301853.Research output: Contribution to journal › Article › peer-review
Symptoms before and after COVID-19: a population and case-control study using prospective data
Sudre, C. H., Antonelli, M., Cheetham, N., Molteni, E., Dos Santos Canas, L., Bowyer, V., Murray, B., Rjoob, K., Modat, M., Pujol, J. C., Hu, C., Wolf, J., Spector, T., Hammers, A., Steves, C., Ourselin, S. & Duncan, E., 18 Jul 2024, In: ERJ Open Research.Research output: Contribution to journal › Article › peer-review
Effect of socioeconomic deprivation as determined by the English deprivation deciles on the progression of diabetic retinopathy and maculopathy: a multivariate case-control analysis of 88 910 patients attending a South-East London diabetic eye screening service
Giannakis, P., Nderitu, P., Nunez do Rio, J. M., Webster, L., Mann, S., Hopkins, D., Cardoso, M. J., Modat, M., Bergeles, C. & Jackson, T. L., 28 Jun 2023, (E-pub ahead of print) In: The British journal of ophthalmology.Research output: Contribution to journal › Article › peer-review
SARS-CoV-2 infection following booster vaccination: illness and symptom profile in a prospective, observational community-based case-control study
Antonelli, M., Penfold, R. S., Canas, L. D. S., Sudre, C., Rjoob, K., Murray, B., Molteni, E., Kerfoot, E., Cheetham, N., Pujol, J. C., Polidori, L., May, A., Wolf, J., Modat, M., Spector, T., Hammers, A., Ourselin, S. & Steves, C., Dec 2023, In: The Journal of infection. 87, 6, p. 506-515 10 p.Research output: Contribution to journal › Article › peer-review
The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study
Cheetham, N. J., Penfold, R., Giunchiglia, V., Bowyer, V., Sudre, C. H., Canas, L. S., Deng, J., Murray, B., Kerfoot, E., Antonelli, M., Rjoob, K., Molteni, E., Österdahl, M. F., Harvey, N. R., Trender, W. R., Malim, M. H., Doores, K. J., Hellyer, P. J., Modat, M. & Hammers, A. & 4 others, Ourselin, S., Duncan, E. L., Hampshire, A. & Steves, C. J., Aug 2023, In: EClinicalMedicine. 62, 102086.Research output: Contribution to journal › Article › peer-review
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, Modat, M., Jul 2023, In: The Lancet Digital Health. 5, 7, p. e421-e434Research output: Contribution to journal › Article › peer-review
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, Trinh, D. H. K., Duc, D. H., Geskus, R., Hai, H. B., Chanh, H. Q., Van hien, H., Trieu, H. T., Kestelyn, E., Yen, L. M., Van khoa, L. D., Phuong, L. T., Khanh, L. T. T., Tran, L. H. B., An, L. P., Mcbride, A., Vuong, N. L., Huy, N. Q., Quyen, N. T. H., Ngoc, N. T., Giang, N. T., Trinh, N. T. D., Le thanh, N. T., Dung, N. T. P., Thao, N. T. P., Van, N. T. T., Kieu, P. T., Khanh, P. N. Q., Lam, P. K., Nhat, P. T. H., Thwaites, G., Thwaites, L., Duc, T. M., Hung, T. M., Turner, H., Van nuil, J. I., Hoang, V. T., Huyen, V. N. T., Yacoub, S., Tam, C. T., Thuy, D. B., Duong, H. T. H., Nghia, H. D. T., Chau, L. B., Toan, L. M., Thu, L. N. M., Thao, L. T. M., Tai, L. T. H., Phu, N. H., Viet, N. Q., Dung, N. T., Nguyen, N. T., Phong, N. T., Anh, N. T. K., Van hao, N., Van thanh duoc, N., Oanh, P. K. N., Van, P. T. H., Qui, P. T., Tho, P. V., Thao, T. T. P., Ali, N., Clifton, D., English, M., Hagenah, J., Lu, P., Mcknight, J., Paton, C., Zhu, T., Georgiou, P., Perez, B. H., Hill-Cawthorne, K., Holmes, A., Karolcik, S., Ming, D., Moser, N., Manzano, J. R., Canas, L., Gomez, A., Kerdegari, H., King, A., Modat, M., Razavi, R., Xochicale, M., Karlen, W., Denehy, L., Rollinson, T., Pisani, L., Schultz, M. & Gomez, A., 1 Jul 2023, In: CRITICAL CARE. 27, 1, 257 .Research output: Contribution to journal › Article › peer-review
Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection
Agarwal, S., Wood, D., Grzeda, M., Suresh, C., Din, M., Cole, J., Modat, M. & Booth, T. C., Dec 2023, In: Clinical neuroradiology. 33, 4, p. 943-956 14 p.Research output: Contribution to journal › Article › peer-review
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., 1 Oct 2023, In: Journal Of Neurointerventional Surgery. 15, 10, p. 1056-1057 2 p., jnis-2023-020218.Research output: Contribution to journal › Letter › peer-review
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, Modat, M., Jul 2023, In: The Lancet Digital Health. 5, 7, p. e421-e434Research output: Contribution to journal › Article › peer-review
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D., Edwards, D., Hajnal, J., Modat, M. & Deprez, M., 22 Sept 2022, Lecture Notes in Computer Science. Springer, Vol. 13575.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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, Kashtanova, V., Kim, H. G., Kondo, S., Kruse, C. N., Lai-Yuen, S. K., Li, H., Liu, H., Ly, B., Oguz, I., Shin, H., Shirokikh, B., Su, Z., Wang, G., Wu, J., Xu, Y., Yao, K., Zhang, L., Ourselin, S., Shapey, J. & Vercauteren, T., 1 Jan 2023, In: Medical Image Analysis. 83, 102628.Research output: Contribution to journal › Article › peer-review
Federated learning enables big data for rare cancer boundary detection
Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S.-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K. & Zenk, M. & 259 others, Bendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Quintero, C. B., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M.-S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., Lamontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., Mckinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S.-K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., Van der voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., Van den bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T.-C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A.-C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu’aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., 5 Dec 2022, In: Nature Communications. 13, 1, 7346 .Research output: Contribution to journal › Article › peer-review
Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta- analysis
Booth, T., Modat, M., Grzeda, M., Agarwal, S. & Wood, D., 11 Oct 2022, (Accepted/In press) In: Journal Of Neurointerventional Surgery. 019456.Research output: Contribution to journal › Article › peer-review
Driving Points Prediction For Abdominal Probabilistic Registration
Joutard, S., Dorent, R., Ourselin, S., Vercauteren, T. & Modat, M., 18 Sept 2022, Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Putaminal diffusion tensor imaging measures predict disease severity across human prion diseases
Hyare, H., De Vita, E., Porter, M. C., Simpson, I., Ridgway, G., Lowe, J., Thompson, A., Carswell, C., Ourselin, S., Modat, M., Dos Santos Canas, L., Caine, D., Fox, Z., Rudge, P., Collinge, J., Mead, S. & Thornton, J. S., 2020, In: Brain Communications. 2, 1, fcaa032.Research output: Contribution to journal › Article › peer-review
Individual Factors Including Age, BMI, and Heritable Factors Underlie Temperature Variation in Sickness and in Health: An Observational, Multi-cohort Study
GSTT Covid Collaborative , Penfold, R. S., Zazzara, M. B., Österdahl, M. F., Welch, C., Ni Lochlainn, M., Freidin, M. B., Bowyer, R. C. E., Thompson, E. J., Antonelli, M., Tan, Y. X. R., Sudre, C. H., Modat, M., Murray, B., Wolf, J., Ourselin, S., Veenith, T., Lord, J. M. & Steves, C. J., Sept 2022, In: The journals of gerontology. Series A, Biological sciences and medical sciences. 77, 9, p. 1890-1897 8 p.Research output: Contribution to journal › Article › peer-review
COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study
COVID-19 Genomics U. K. (COG-UK) Consortium, 28 Jun 2022, In: Scientific Reports. 12, 1, p. 10904 10904.Research output: Contribution to journal › Article › peer-review
Post-vaccination infection rates and modification of COVID-19 symptoms in vaccinated UK school-aged children and adolescents: A prospective longitudinal cohort study
Molteni, E., Canas, L. S., Kläser, K., Deng, J., Bhopal, S. S., Hughes, R. C., Chen, L., Murray, B., Kerfoot, E., Antonelli, M., Sudre, C. H., Pujol, J. C., Polidori, L., May, A., Hammers, P. A., Wolf, J., Spector, P. T. D., Steves, C. J., Ourselin, P. S. & Absoud, M. & 2 others, Modat, M. & Duncan, P. E. L., Aug 2022, In: The Lancet Regional Health - Europe. 19, 100429.Research output: Contribution to journal › Article › peer-review
Automated image curation in diabetic retinopathy screening using deep learning
Nderitu, P., Nunez do Rio, J. M., Webster, M. L., Mann, S. S., Hopkins, D., Cardoso, M. J., Modat, M., Bergeles, C. & Jackson, T. L., Dec 2022, In: Scientific Reports. 12, 1, 11196.Research output: Contribution to journal › Article › peer-review
Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study
Menni, C., Valdes, A. M., Polidori, L., Antonelli, M., Penamakuri, S., Nogal, A., Louca, P., May, A., Figueiredo, J. C., Hu, C., Molteni, E., Canas, L., Österdahl, M. F., Modat, M., Sudre, C. H., Fox, B., Hammers, A., Wolf, J., Capdevila, J. & Chan, A. T. & 4 others, David, S. P., Steves, C. J., Ourselin, S. & Spector, T. D., 23 Apr 2022, In: Lancet. 399, 10335, p. 1618-1624 7 p.Research output: Contribution to journal › Article › peer-review
A Pareto front based methodology to better assess medical image registration algorithms
Joutard, S., Dorent, R., Vercauteren, T. & Modat, M., 4 Apr 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). 120322R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
A multi-organ point cloud registration algorithm for abdominal CT registration
Joutard, S., Pheiffer, T., Audigier, C., Wohlfahrt, P., Dorent, R., Piat, S., Juergens, M., Vercauteren, T., Modat, M. & Mansi, T., 2022, Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M. & Rueckert, D. (eds.). p. 75–84 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13386 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review
Vietnam ICU Translational Applications Laboratory (VITAL), Feb 2022, In: Journal of Medical Internet Research. 24, 2, e32392.Research output: Contribution to journal › Review article › peer-review
Emerging Treatments for Disorders of Consciousness in Paediatric Age
Irzan, H., Pozzi, M., Chikhladze, N., Cebanu, S., Tadevosyan, A., Calcii, C., Tsiskaridze, A., Melbourne, A., Strazzer, S., Modat, M. & Molteni, E., Feb 2022, In: Brain Sciences. 12, 2, p. e198 198.Research output: Contribution to journal › Article › peer-review
Imaging biomarkers of glioblastoma treatment response: a systematic review and meta-analysis of recent machine learning studies" has been approved for production and accepted for publication in Frontiers in Oncology, section Cancer Imaging and Image-directed Interventions
Booth, T. C., Grzeda, M., Chelliah, A., Roman, A., Al busaidi, A., Dragos, C., Shuaib, H., Luis, A., Mirchandani, A., Alparslan, B., Mansoor, N., Lavrador, J., Vergani, F., Ashkan, K., Modat, M. & Ourselin, S., 2022, In: Frontiers in oncology. 12Research output: Contribution to journal › Article › peer-review
Author Correction: Attributes and predictors of long COVID (Nature Medicine, (2021), 27, 4, (626-631), 10.1038/s41591-021-01292-y)
Sudre, C. H., Murray, B., Varsavsky, T., Graham, M. S., Penfold, R. S., Bowyer, R. C., Pujol, J. C., Klaser, K., Antonelli, M., Canas, L. S., Molteni, E., Modat, M., Jorge Cardoso, M., May, A., Ganesh, S., Davies, R., Nguyen, L. H., Drew, D. A., Astley, C. M. & Joshi, A. D. & 13 others, Merino, J., Tsereteli, N., Fall, T., Gomez, M. F., Duncan, E. L., Menni, C., Williams, F. M. K., Franks, P. W., Chan, A. T., Wolf, J., Ourselin, S., Spector, T. & Steves, C. J., Jun 2021, In: Nature Medicine. 27, 6, p. 1116 1 p.Research output: Contribution to journal › Comment/debate › peer-review
COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study
Klaser, K., Molteni, E., Graham, M., Dos Santos Canas, L., Osterdahl, M., Antonelli, M., Chen, L., Deng, J., Murray, B., Kerfoot, E., Wolf, J., May, A., Fox, B., Capdevila, J., Modat, M., Hammers, A., Spector, T. D., Steves, C. J., Sudre, C. H. & Ourselin, S. & 1 others, Duncan, E. L., 31 May 2022, (Accepted/In press) In: Annals of internal medicine.Research output: Contribution to journal › Article › peer-review
Volumetric MRI is a promising outcome measure of muscle reinnervation
Wilcox, M., Dos Santos Canas, L., Hargunani, R., Tidswell, T., Brown, H., Modat, M., Phillips, J. B., Ourselin, S. & Quick, T., Dec 2021, In: Scientific Reports. 11, 1, 22433.Research output: Contribution to journal › Article › peer-review
Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app
Klaser, K., Thompson, E. J., Nguyen, L. H., Sudre, C. H., Antonelli, M., Murray, B., Canas, L. S., Molteni, E., Graham, M. S., Kerfoot, E., Chen, L., Deng, J., May, A., Hu, C., Guest, A., Selvachandran, S., Drew, D. A., Modat, M., Chan, A. T. & Wolf, J. & 5 others, Spector, T. D., Hammers, A., Duncan, E. L., Ourselin, S. & Steves, C. J., 16 Nov 2021, In: Journal of Neurology, Neurosurgery and Psychiatry. 92, 12, p. 1254-1258 5 p.Research output: Contribution to journal › Article
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
Casamitjana, A., Lorenzi, M., Ferraris, S., Peter, L., Modat, M., Stevens, A., Fischl, B., Vercauteren, T. & Iglesias, J. E., Jan 2022, In: Medical Image Analysis. 75, p. 102265 102265.Research output: Contribution to journal › Article › peer-review
Illness characteristics of COVID-19 in children infected with the SARS-CoV-2 Delta variant
Molteni, E., Sudre, C. H., Dos Santos Canas, L., Bhopal, S. S., Hughes, R. C., Chen, L., Deng, J., Murray, B., Kerfoot, E., Antonelli, M., Graham, M., Klaser, K., May, A., Hu, C., Pujol, J. C., Wolf, J., Hammers, A., Spector, T., Ourselin, S. & Modat, M. & 3 others, Steves, C., Absoud, M. & Duncan, E., 3 May 2022, In: Children (Basel, Switzerland). 9, 5, 652.Research output: Contribution to journal › Article › peer-review
Uncertainty-Aware Deep Learning Based Deformable Registration
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D., Edwards, A. D., Hajnal, J. V., Modat, M. & Deprez, M., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-63 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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