Dr Marc Modat Academics Supervisors Senior Lecturer Research subject areas Biomedical and life sciences Contact details marc.modat@kcl.ac.uk
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 othersKashtanova, 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. DOIs: https://doi.org/10.1016/j.media.2022.102628 Federated learning enables big data for rare cancer boundary detection Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S., 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 othersBendszus, 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., 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., 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., Adabi, S., Niclou, S. P., Keunen, O., Hau, A., 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. DOIs: https://doi.org/10.1038/s41467-022-33407-5 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. DOIs: https://doi.org/10.1038/s41598-022-15491-1 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. DOIs: https://doi.org/doi:10.1136/jnis-2022-019456 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 Sep 2022, Lecture Notes in Computer Science. Springer, Vol. 13575. Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review. DOIs: https://doi.org/10.1007/978-3-031-17117-8_7 Driving Points Prediction For Abdominal Probabilistic Registration Joutard, S., Dorent, R., Ourselin, S., Vercauteren, T. & Modat, M., 18 Sep 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 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., Sep 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. DOIs: https://doi.org/10.1093/gerona/glab295 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 othersModat, M. & Duncan, P. E. L., Aug 2022, In: The Lancet Regional Health - Europe. 19, 100429. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.lanepe.2022.100429 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. DOIs: https://doi.org/10.1038/s41598-022-14016-0 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 othersSteves, CJ., Absoud, M. & Duncan, E., 3 May 2022, In: Children (Basel, Switzerland). 9, 5, 652. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3390/children9050652 View all publications
1 August 2022 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…