Robust parametric modeling of Alzheimer's disease progression Mehdipour Ghazi, M., Nielsen, M., Pai, A., Modat, M., Jorge Cardoso, M., Ourselin, S. & Sørensen, L., 15 Jan 2021, In : NeuroImage. 225, 117460. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1016/j.neuroimage.2020.117460 A position statement on the utility of interval imaging in standard of care brain tumour management: defining the evidence gap and opportunities for future research Booth, T., Thompson, G., Bulbeck, H., Boele, F., Buckley, C., Cardoso, M. J., Dos Santos Canas, L., Jenkinson, D., Ashkan, K., Kreindler, J., Huskens, N., Luis, A., McBain, C., Mills, S. J., Modat, M., Morley, N., Murphy, C., Ourselin, S., Pennington, M., Powell, J. & 6 others, Summers, D., Waldman, A. D., Watts, C., Matthew, W., Grant, R. & Jenkinson, M. D., 6 Jan 2021, (Accepted/In press) In : Frontiers in oncology. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.3389/fonc.2021.620070_Booth Current smoking and COVID-19 risk: results from a population symptom app in over 2.4 million people Hopkinson, N. S., Rossi, N., El-Sayed Moustafa, J., Laverty, A. A., Quint, J. K., Freidin, M., Visconti, A., Murray, B., Modat, M., Ourselin, S., Small, K., Davies, R., Wolf, J., Spector, T. D., Steves, C. J. & Falchi, M., 5 Jan 2021, In : Thorax. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1136/thoraxjnl-2020-216422 Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021 Booth, T., Akpinar, B., Roman, A., Shuaib, H., Luis, A., Chelliah, A., Al Busaidi, A., Mirchandani, A., Alparslan, B., Mansoor, N., Ashkan, K., Ourselin, S. & Modat, M., 31 Dec 2020, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449.. Springer Nature Switzerland AG Research output: Chapter in Book/Report/Conference proceeding - Conference paper. DOIs: https://doi.org/10.1007/978-3-030-66843-3_21 Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI Ma, D., Cardoso, M. J., Zuluaga, M. A., Modat, M., Powell, N. M., Wiseman, F. K., Cleary, J. O., Sinclair, B., Harrison, I. F., Siow, B., Popuri, K., Lee, S., Matsubara, J. A., Sarunic, M. V., Beg, M. F., Tybulewicz, V. L. J., Fisher, E. M. C., Lythgoe, M. F. & Ourselin, S., Dec 2020, In : NeuroImage. 223, 117271. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1016/j.neuroimage.2020.117271 Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study Graham, M., Ourselin, S., Modat, M., Cardoso, M. J., Sudre, C. H., Murray, B., Spector, T. & Steves, C., 10 Nov 2020, (Accepted/In press) In : The Lancet Public Health. Research output: Contribution to journal - Article Measuring cortical mean diffusivity to assess early microstructural cortical change in presymptomatic familial Alzheimer's disease Weston, P. S. J., Poole, T., Nicholas, J. M., Toussaint, N., Simpson, I. J. A., Modat, M., Ryan, N. S., Liang, Y., Rossor, M. N., Schott, J. M., Ourselin, S., Zhang, H. & Fox, N. C., 17 Sep 2020, In : Alzheimer's research & therapy. 12, 1, 1 p., 112. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1186/s13195-020-00679-2 SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology Molteni, E., Astley, C. M., Ma, W., Sudre, C. H., Magee, L. A., Murray, B., Fall, T., Gomez, M. F., Tsereteli, N., Franks, P. W., Brownstein, J. S., Davies, R., Wolf, J., Spector, T., Ourselin, S., Steves, C., Chan, A. T. & Modat, M., 19 Aug 2020, In : MedRxiv. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.1101/2020.08.17.20161760 Feasibility Randomized Trial for an Intensive Memory-Focused Training Program for School-Aged Children with Acquired Brain Injury Molteni, E. & Modat, M., 7 Jul 2020, In : JOURNAL OF BRAIN SCIENCE. 10, 7, p. 1-20 20 p., 430. Research output: Contribution to journal - Article. DOIs: https://doi.org/10.3390/brainsci10070430 Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework Ranzini, M. B. M., Groothuis, I., Klaser, K., Cardoso, M. J., Henckel, J., Ourselin, S., Hart, A. & Modat, M., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 600-604 5 p. 9098633. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April). Research output: Chapter in Book/Report/Conference proceeding - Conference paper. DOIs: https://doi.org/10.1109/ISBI45749.2020.9098633 View all publications
25 August 2020 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…