King's College London

Research portal

Research Outputs

  1. 2019
  2. Effect of a novel vital sign device on maternal mortality and morbidity in low-resource settings: a pragmatic, stepped-wedge, cluster-randomised controlled trial

    CRADLE Trial Collaborative Group, Vousden, N., Lawley, E., Nathan, H. L., Seed, P. T., Gidiri, M. F., Goudar, S., Sandall, J., Chappell, L. C., Shennan, A. H., Kachinjika, M., Bukani, D., Makwakwa, J., Makonyola, G., Brown, A., Toussaint, P., Vixama, A., Greene, G., Hill, C., Nakiriija, E. & 31 others, Birungi, D., Kalyowa, N., Namakula, D., Byamugisha, J., Nakimuli, A., Mackayi Odeke, N., Ditai, J., Wandabwa, J., Momodou, F., Sesay, M., Sandi, P., Conteh, J., Kamara, J., Clarke, M., Best, R., Miti, J., Kopeka, M., Vwalika, B., Chima, M., Musonda, T., Jere, C., Chinkoyo, S., Mambo, V., Guchale, Y., Yadeta, L., Surur, F., Mungarwadi, G. M., Mastiholi, S. S., Karadiguddi, C. C., Hezelgrave, N. & Duhig, K. E., Mar 2019, In : The Lancet. Global health. 7, 3, p. e347-e356

    Research output: Contribution to journalArticle

  3. Placental Perfusion and Fetal Blood Oxygen Saturation Measured with MRI in Normal Pregnancy and Fetal Growth Restriction.

    Aughwane, R., Sokolska, M., Flouri, D., Spencer, R., Maksym, K., Mufti, N., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., Ourselin, S., Melbourne, A. & David, A. L., Mar 2019, In : Reproductive Sciences. 26, p. 114A-114A

    Research output: Contribution to journalMeeting Abstract

  4. Serum creatinine in pregnancy: a systematic review

    Wiles, K., Bramham, K., Seed, P. T., Nelson-Piercy, C., Lightstone, L. & Chappell, L. C., Mar 2019, In : Kidney International Reports. 4, 3, p. 408-419 12 p.

    Research output: Contribution to journalArticle

  5. Enhancing photoacoustic visualization of medical devices with elastomeric nanocomposite coatings

    Xia, W., Noimark, S., Maneas, E., Brown, N. M., Singh, M. K. A., Ourselin, S., West, S. J. & Desjardins, A. E., 27 Feb 2019, Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019. Oraevsky, A. A. & Wang, L. V. (eds.). SPIE, Vol. 10878. 6 p. 108783G

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  6. Imaging of human peripheral blood vessels during cuff occlusion with a compact LED-based photoacoustic and ultrasound system

    Xia, W., Maneas, E., Huynh, N. T., Kuniyil Ajith Singh, M., Brown, N. M., Ourselin, S., Gilbert-Kawai, E., West, S. J. & Desjardins, A. E., 27 Feb 2019, Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019. Oraevsky, A. A. & Wang, L. V. (eds.). SPIE, Vol. 10878. 6 p. 1087804. (Photons Plus Ultrasound: Imaging and Sensing 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  7. Clinical relevance of cortical network dynamics in early primary progressive MS

    Tur, C., Kanber, B., Eshaghi, A., Altmann, D. R., Khaleeli, Z., Prados, F., Ourselin, S., Thompson, A. J., Gandini Wheeler-Kingshott, C. A. M., Toosy, A. T. & Ciccarelli, O., 25 Feb 2019, In : Multiple Sclerosis Journal.

    Research output: Contribution to journalArticle

  8. Clinical Applications for Diffusion MRI and Tractography of Cranial Nerves Within the Posterior Fossa: A Systematic Review

    Shapey, J., Vos, S. B., Vercauteren, T., Bradford, R., Saeed, S. R., Bisdas, S. & Ourselin, S., 7 Feb 2019, In : Frontiers in Neuroscience. 13, FEB, 23.

    Research output: Contribution to journalReview article

  9. GAS: A genetic atlas selection strategy in multi-atlas segmentation framework

    Antonelli, M., Cardoso, M. J., Johnston, E. W., Appayya, M. B., Presles, B., Modat, M., Punwani, S. & Ourselin, S., 1 Feb 2019, In : Medical Image Analysis. 52, p. 97-108 12 p.

    Research output: Contribution to journalArticle

  10. Computer-assisted planning for the insertion of stereoelectroencephalography electrodes for the investigation of drug-resistant focal epilepsy: an external validation study

    Vakharia, V. N., Sparks, R., Rodionov, R., Vos, S. B., Dorfer, C., Miller, J., Nilsson, D., Tisdall, M., Wolfsberger, S., McEvoy, A. W., Miserocchi, A., Winston, G. P., O'Keeffe, A. G., Ourselin, S. & Duncan, J. S., Feb 2019, In : Journal of Neurosurgery. 130, 2, p. 601-610 10 p.

    Research output: Contribution to journalArticle

  11. Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation

    Wang, G., Li, W., Ourselin, S. & Vercauteren, T., 26 Jan 2019, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Reyes, M., Bakas, S., Crimi, A., van Walsum, T., Kuijf, H. & Keyvan, F. (eds.). Springer Verlag, p. 61-72 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11384 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  12. A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation

    Granados, A., Schweiger, M., Vakharia, V., McEvoy, A. W., Miserocchi, A., Duncan, J. S., Sparks, R. & Ourselin, S., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 218-226 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11768 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  13. Deep sequential mosaicking of fetoscopic videos

    Bano, S., Vasconcelos, F., Tella Amo, M., Dwyer, G., Gruijthuijsen, C., Deprest, J., Ourselin, S., Vander Poorten, E., Vercauteren, T. & Stoyanov, D., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 311-319 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  14. Enhancing OCT signal by fusion of GANs: Improving statistical power of glaucoma clinical trials

    Lazaridis, G., Lorenzi, M., Ourselin, S. & Garway-Heath, D., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 3-11 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  15. Hemodynamic matrix factorization for functional magnetic resonance imaging

    Hütel, M., Antonelli, M., Ekanayake, J., Ourselin, S. & Melbourne, A., 1 Jan 2019, Connectomics in NeuroImaging - 3rd International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Schirmer, M. D., Chung, A. W., Venkataraman, A., Rekik, I. & Kim, M. (eds.). SPRINGER, p. 117-125 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11848 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  16. Hippocampal profiling: Localized magnetic resonance imaging volumetry and T2 relaxometry for hippocampal sclerosis

    Vos, S. B., Winston, G. P., Goodkin, O., Pemberton, H. G., Barkhof, F., Prados, F., Galovic, M., Koepp, M., Ourselin, S., Cardoso, M. J. & Duncan, J. S., 1 Jan 2019, In : Epilepsia.

    Research output: Contribution to journalArticle

  17. Imaging biomarkers in alzheimer’s disease

    Sudre, C. H., Jorge Cardoso, M., Modat, M. & Ourselin, S., 1 Jan 2019, Handbook of Medical Image Computing and Computer Assisted Intervention. Elsevier, p. 343-378 36 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  18. Improved MR to CT synthesis for pet/mr attenuation correction using imitation learning

    Kläser, K., Varsavsky, T., Markiewicz, P., Vercauteren, T., Atkinson, D., Thielemans, K., Hutton, B., Cardoso, M. J. & Ourselin, S., 1 Jan 2019, Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Burgos, N., Gooya, A. & Svoboda, D. (eds.). SPRINGER, p. 13-21 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11827 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  19. Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling

    Flouri, D., Owen, D., Aughwane, R., Mufti, N., Sokolska, M., Atkinson, D., Kendall, G., Bainbridge, A., Vercauteren, T., David, A. L., Ourselin, S. & Melbourne, A., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 609-616 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  20. Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteainst, M., Cardoso, J., Sørensen, L., Igel, C., Ourselin, S., Modat, M., Nielsen, M. & Pai, A., 1 Jan 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). SPRINGER, p. 68-76 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11796 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  21. Landmark-based evaluation of a block-matching registration framework on the RESECT pre- and intra-operative brain image data set

    Drobny, D., Ranzini, M., Ourselin, S., Vercauteren, T. & Modat, M., 1 Jan 2019, Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Heller, N., Shi, Y., Chen, D., Hu, X. S., Xiao, Y., Sznitman, R., Cheplygina, V., Mateus, D., Trucco, E., Chabanas, M., Rivaz, H. & Reinertsen, I. (eds.). SPRINGER, p. 136-144 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11851 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  22. Let’s agree to disagree: Learning highly debatable multirater labelling

    Sudre, C. H., Anson, B. G., Ingala, S., Lane, C. D., Jimenez, D., Haider, L., Varsavsky, T., Tanno, R., Smith, L., Ourselin, S., Jäger, R. H. & Cardoso, M. J., 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 665-673 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  23. On the initialization of long short-term memory networks

    Mehdipour Ghazi, M., Nielsen, M., Pai, A., Modat, M., Cardoso, M. J., Ourselin, S. & Sørensen, L., 1 Jan 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). SPRINGER, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11953 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  24. Periventricular magnetisation transfer ratio abnormalities in multiple sclerosis improve after alemtuzumab

    Brown, J. W. L., Prados Carrasco, F., Eshaghi, A., Sudre, C. H., Button, T., Pardini, M., Samson, R. S., Ourselin, S., Wheeler-Kingshott, C. AM. G., Jones, J. L., Coles, A. J. & Chard, D. T., 1 Jan 2019, In : Multiple Sclerosis Journal.

    Research output: Contribution to journalArticle

  25. Physics-informed brain MRI segmentation

    Borges, P., Sudre, C., Varsavsky, T., Thomas, D., Drobnjak, I., Ourselin, S. & Cardoso, M. J., 1 Jan 2019, Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Burgos, N., Gooya, A. & Svoboda, D. (eds.). SPRINGER, p. 100-109 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11827 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  26. Prion disease diagnosis using subject-specific imaging biomarkers within a multi-kernel Gaussian process

    Canas, L. S., Sudre, C. H., De Vita, E., Nihat, A., Mok, T. H., Slattery, C. F., Paterson, R. W., Foulkes, A. J. M., Hyare, H., Cardoso, M. J., Thornton, J., Schott, J. M., Barkhof, F., Collinge, J., Ourselin, S., Mead, S. & Modat, M., 1 Jan 2019, In : NeuroImage: Clinical. 24, 102051.

    Research output: Contribution to journalArticle

  27. Privacy-Preserving Federated Brain Tumour Segmentation

    Li, W., Milletarì, F., Xu, D., Rieke, N., Hancox, J., Zhu, W., Baust, M., Cheng, Y., Ourselin, S., Cardoso, M. J. & Feng, A., 1 Jan 2019, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). SPRINGER, p. 133-141 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  28. Reproducibility of functional connectivity estimates in motion corrected fetal fmri

    Sobotka, D., Licandro, R., Ebner, M., Schwartz, E., Vercauteren, T., Ourselin, S., Kasprian, G., Prayer, D. & Langs, G., 1 Jan 2019, Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - 1st International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Wang, Q., Gomez, A., Hutter, J., Gomez, A., Zimmer, V., Hutter, J., Robinson, E., Christiaens, D., Melbourne, A., McLeod, K., Zettinig, O., Licandro, R. & Turk, E. A. (eds.). SPRINGER, p. 123-132 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11798 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  29. Separating fetal and maternal placenta circulations using multiparametric MRI

    Melbourne, A., Aughwane, R., Sokolska, M., Owen, D., Kendall, G., Flouri, D., Bainbridge, A., Atkinson, D., Deprest, J., Vercauteren, T., David, A. & Ourselin, S., 1 Jan 2019, In : Magnetic Resonance in Medicine. 81, p. 350-361 12 p.

    Research output: Contribution to journalArticle

  30. Single-subject structural cortical networks in clinically isolated syndrome

    for the MAGNIMS Study Group, 1 Jan 2019, In : Multiple Sclerosis Journal.

    Research output: Contribution to journalArticle

  31. Study the longitudinal in vivo and cross-sectional ex vivo brain volume difference for disease progression and treatment effect on mouse model of tauopathy using automated MRI structural parcellation

    Ma, D., Holmes, H. E., Cardoso, M. J., Modat, M., Harrison, I. F., Powell, N. M., O'Callaghan, J. M., Ismail, O., Johnson, R. A., O'Neill, M. J., Collins, E. C., Beg, M. F., Popuri, K., Lythgoe, M. F. & Ourselin, S., 1 Jan 2019, In : Frontiers in Neuroscience. 13, 11.

    Research output: Contribution to journalArticle

  32. Towards Quantifying Neurovascular Resilience

    Moriconi, S., Rehwald, R., Zuluaga, M. A., Jäger, H. R., Nachev, P., Ourselin, S. & Cardoso, M. J., 1 Jan 2019, Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - 1st International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Liao, H., Wang, G., Liu, Y., Ding, Z., Balocco, S., Zhang, F., Duong, L., Phellan, R., Zahnd, G., Albarqouni, S., Demirci, S., Breininger, K., Moriconi, S. & Lee, S-L. (eds.). SPRINGER, p. 149-157 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11794 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  33. White matter hyperintensities in progranulin-associated frontotemporal dementia: A longitudinal GENFI study

    Sudre, C. H., Bocchetta, M., Heller, C., Convery, R., Neason, M., Moore, K. M., Cash, D. M., Thomas, D. L., Woollacott, I. O. C., Foiani, M., Heslegrave, A., Shafei, R., Greaves, C., van Swieten, J., Moreno, F., Sanchez-Valle, R., Borroni, B., Laforce, R., Masellis, M., Tartaglia, M. C. & 21 others, Graff, C., Galimberti, D., Rowe, J. B., Finger, E., Synofzik, M., Vandenberghe, R., de Mendonça, A., Tagliavini, F., Santana, I., Ducharme, S., Butler, C., Gerhard, A., Levin, J., Danek, A., Frisoni, G. B., Sorbi, S., Otto, M., Zetterberg, H., Ourselin, S., Cardoso, M. J. & Rohrer, J. D., 1 Jan 2019, In : NeuroImage: Clinical. 24, 102077.

    Research output: Contribution to journalArticle

  34. Temporal and external validation of the fullPIERS model for the prediction of adverse maternal outcomes in women with pre-eclampsia

    Ukah, U. V., Payne, B., Karjalainen, H., Kortelainen, E., Seed, P. T., Conti-Ramsden, F. I., Cao, V., Laivuori, H., Hutcheon, J., Chappell, L., Ansermino, J. M., Vatish, M., Redman, C., Lee, T., Li, L., Magee, L. A. & von Dadelszen, P., Jan 2019, In : Pregnancy Hypertension. 15, p. 42-50 9 p.

    Research output: Contribution to journalArticle

  35. Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model

    Van Der Merwe, J., Van Der Veeken, L., Ferraris, S., Gsell, W., Himmelreich, U., Toelen, J., Ourselin, S., Melbourne, A., Vercauteren, T. & Deprest, J., 2019, In : Scientific Reports. 9, 1, p. 1-10 3506 .

    Research output: Contribution to journalArticle

  36. Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets

    Dorent, R., Li, W., Ekanayake, J., Ourselin, S. & Vercauteren, T., 2019, Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. London, United Kingdom: PMLR, Vol. 102. p. 164--174 11 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  37. Learning task-specific and shared representations in medical imaging

    Bragman, F. J. S., Tanno, R., Ourselin, S., Alexander, D. C. & Cardoso, M. J., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). SPRINGER, p. 374-383 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  38. MAVRIC: A Multicentre Randomised Controlled Trial of Transabdominal Versus Transvaginal Cervical Cerclage

    Shennan, A., Chandiramani, M., Bennett, P., David, A. L., Girling, J., Ridout, A., Seed, P. T., Simpson, N., Thornton, S., Tydeman, G., Quenby, S. & Carter, J., 2019, In : American Journal of Obstetrics and Gynecology.

    Research output: Contribution to journalArticle

  39. Publisher Correction: Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model (Scientific Reports, (2019), 9, 1, (3506), 10.1038/s41598-019-39922-8)

    van der Merwe, J., van der Veeken, L., Ferraris, S., Gsell, W., Himmelreich, U., Toelen, J., Ourselin, S., Melbourne, A., Vercauteren, T. & Deprest, J., 2019, In : Scientific Reports. 9, 1, 17005.

    Research output: Contribution to journalComment/debate

  40. Soft optically-tuneable fluorescence phantoms based on gel wax and quantum dots: a tissue surrogate for fluorescence imaging validation

    Xie, Y., Maneas, E., Islam, S., Peveler, W., Shapey, J., Xia, W., Ourselin, S., Parkin, I. P., Desjardins, A. E. & Vercauteren, T., 2019, (Proceedings of SPIE)

    Research output: Book/ReportBook

  41. 2018
  42. Rationale & design of the PROMISES study: A prospective assessment and validation study of salivary progesterone as a test for preterm birth in pregnant women from rural India

    Sharma, P., Khan, S., Ghule, M., Shivkumar, V. B., Dargan, R., Seed, P. T., Sarkar, A., Mehra, S., Shivkumar, P. V. & Tribe, R. M., 22 Dec 2018, In : Reproductive Health. 15, 1, 215.

    Research output: Contribution to journalArticle

  43. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort

    Genetic FTD Initiative, GENFI, 6 Dec 2018, In : NeuroImage. 188, p. 282-290 9 p.

    Research output: Contribution to journalArticle

  44. Optimizing Trajectories for Cranial Laser Interstitial Thermal Therapy Using Computer-Assisted Planning: A Machine Learning Approach

    Li, K., Vakharia, V. N., Sparks, R., França, L. G. S., Granados, A., McEvoy, A. W., Miserocchi, A., Wang, M., Ourselin, S. & Duncan, J. S., 5 Dec 2018, In : Neurotherapeutics. 16, 1, p. 182-1891

    Research output: Contribution to journalReview article

  45. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

    The Genetic FTD Initiative (GENFI) & The Alzheimer’s Disease Neuroimaging Initiative (ADNI), 1 Dec 2018, In : Nature Communications. 9, 1, 4273.

    Research output: Contribution to journalArticle

  46. Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections

    Iglesias, J. E., Modat, M., Peter, L., Stevens, A., Annunziata, R., Vercauteren, T., Lein, E., Fischl, B. & Ourselin, S., Dec 2018, In : Medical Image Analysis. 50, p. 127-144

    Research output: Contribution to journalArticle

  47. Clinical phenotype, atrophy, and small vessel disease in ε2 carriers with Alzheimer disease

    Groot, C., Sudre, C. H., Barkhof, F., Teunissen, C. E., van Berckel, B. N. M., Seo, S. W., Ourselin, S., Scheltens, P., Cardoso, M. J., van der Flier, W. M. & Ossenkoppele, R., 13 Nov 2018, In : Neurology. 91, 20, p. e1851-e1859

    Research output: Contribution to journalArticle

  48. Cardiovascular risk factors and white matter hyperintensities: Difference in susceptibility in South Asians compared to Europeans

    Sudre, C. H., Smith, L., Atkinson, D., Chaturvedi, N., Ourselin, S., Barkhof, F., Hughes, A. D., Cardoso, M. J. & Jäger, R. H., 6 Nov 2018, In : Journal of the American Heart Association. 7, 21, e010533.

    Research output: Contribution to journalArticle

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