King's College London

Research portal

Research Outputs

  1. 2019
  2. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

    Wang, G., Li, W., Aertsen, M., Deprest, J., Ourselin, S. & Vercauteren, T., 21 Apr 2019, In : NEUROCOMPUTING. 338, p. 34-45 12 p.

    Research output: Contribution to journalArticle

  3. Exploring the effect of implementation and context on a stepped-wedge randomised controlled trial of a vital sign triage device in routine maternity care in low-resource settings

    Vousden, N., Lawley, E., Seed, P. T., Gidiri, M. F., Charantimath, U., Makonyola, G., Brown, A., Yadeta, L., Best, R., Chinkoyo, S., Vwalika, B., Nakimuli, A., Ditai, J., Greene, G., Chappell, L. C., Sandall, J., Shennan, A. H., Bukani, D., Toussaint, P., Vixama, A. & 30 others, Hill, C., Nakirijja, E., Birungi, D., Kalyowa, N., Namakuli, D., Byamugisha, J., Odeke, N. M., Wandabwa, J., Momodou, F., Sesay, M., Sandi, P., Conteh, J., Kamara, J., Clarke, M., Miti, J., Chima, M., Kopeka, M., Jere, C., Musonda, T., Mambo, V., Guchale, Y., Surur, F., Mungarwadi, G. M., Mastiholi, S. S., Karadiguddi, C. C., Hezelgrave, N., Duhig, K. E., Kachinjika, M., Bellad, M. & Makwakwa, J., 18 Apr 2019, In : Implementation Science. 14, 1, 38.

    Research output: Contribution to journalArticle

  4. A framework for memory performance prediction from brain volume in preterm-born adolescents

    Irzan, H., O'Reilly, H., Ourselin, S., Marlow, N. & Melbourne, A., 1 Apr 2019, In : International Symposium on Biomedical Imaging (ISBI). 2019-April, p. 400-403 4 p.

    Research output: Contribution to journalArticle

  5. Cerebellar, limbic, and midbrain volume alterations in sudden unexpected death in epilepsy

    Allen, L. A., Vos, S. B., Kumar, R., Ogren, J. A., Harper, R. K., Winston, G. P., Balestrini, S., Wandschneider, B., Scott, C. A., Ourselin, S., Duncan, J. S., Lhatoo, S. D., Harper, R. M. & Diehl, B., 1 Apr 2019, In : Epilepsia. 60, 4, p. 718-729 12 p.

    Research output: Contribution to journalArticle

  6. Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images

    Hyde, E. R., Berger, L. U., Ramachandran, N., Hughes-Hallett, A., Pavithran, N. P., Tran, M. G. B., Ourselin, S., Bex, A. & Mumtaz, F. H., 1 Apr 2019, In : International Journal of Computer Assisted Radiology and Surgery. 14, 4, p. 723-732 10 p.

    Research output: Contribution to journalArticle

  7. Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling

    for the Alzheimer's Disease Neuroimaging Initiative, Apr 2019, In : Medical Image Analysis. 53, p. 39-46 8 p.

    Research output: Contribution to journalArticle

  8. Incidence of eclampsia and related complications across 10 low- and middle-resource geographical regions: Secondary analysis of a cluster randomised controlled trial

    CRADLE Trial Collaborative Group, 29 Mar 2019, In : PLoS Medicine. 16, 3, 15 p., e1002775.

    Research output: Contribution to journalArticle

  9. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

    Kuijf, H. J., Biesbroek, J. M., De Bresser, J., Heinen, R., Andermatt, S., Bento, M., Berseth, M., Belyaev, M., Cardoso, M. J., Casamitjana, A., Collins, D. L., Dadar, M., Georgiou, A., Ghafoorian, M., Jin, D., Khademi, A., Knight, J., Li, H., Llado, X., Luna, M. & 24 others, Mahmood, Q., Mckinley, R., Mehrtash, A., Ourselin, S., Park, B., Park, H., Park, S. H., Pezold, S., Puybareau, E., Rittner, L., Sudre, C. H., Valverde, S., Vilaplana, V., Wiest, R., Xu, Y., Xu, Z., Zeng, G., Zhang, J., Zheng, G., Chen, C., Van Der Flier, W., Barkhof, F., Viergever, M. A. & Biessels, G. J., 19 Mar 2019, In : IEEE transactions on medical imaging. 38, 11, p. 2556-2568 13 p.

    Research output: Contribution to journalArticle

  10. PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., Sørensen, L., Cardoso, J., Modat, M., Ourselin, S., Sommer, S., Nielsen, M., Igel, C. & Pai, A., 15 Mar 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, Vol. 10949. 109490S

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

  11. Association of Piriform Cortex Resection With Surgical Outcomes in Patients With Temporal Lobe Epilepsy

    Galovic, M., Baudracco, I., Wright-Goff, E., Pillajo, G., Nachev, P., Wandschneider, B., Woermann, F., Thompson, P., Baxendale, S., McEvoy, A. W., Nowell, M., Mancini, M., Vos, S. B., Winston, G. P., Sparks, R., Prados, F., Miserocchi, A., de Tisi, J., Van Graan, L. A., Rodionov, R. & 13 others, Wu, C., Alizadeh, M., Kozlowski, L., Sharan, A. D., Kini, L. G., Davis, K. A., Litt, B., Ourselin, S., Moshé, S. L., Sander, J. W. A., Löscher, W., Duncan, J. S. & Koepp, M. J., 11 Mar 2019, In : JAMA Neurology. 76, 6, p. 690-700 11 p.

    Research output: Contribution to journalArticle

  12. Association of adverse perinatal outcomes of intrahepatic cholestasis of pregnancy with biochemical markers: results of aggregate and individual patient data meta-analyses

    Ovadia, C., Seed, P. T., Sklavounos, A., Geenes, V., Di Illio, C., Chambers, J., Kohari, K., Bacq, Y., Bozkurt, N., Brun-furrer, R., Bull, L., Estiú, M. C., Grymowicz, M., Gunaydin, B., Hague, W. M., Haslinger, C., Hu, Y., Kawakita, T., Kebapcilar, A. G., Kebapcilar, L. & 20 others, Kondrackienė, J., Koster, M. P. H., Kowalska-kańka, A., Kupčinskas, L., Lee, R. H., Locatelli, A., Macias, R. I. R., Marschall, H., Oudijk, M. A., Raz, Y., Rimon, E., Shan, D., Shao, Y., Tribe, R., Tripodi, V., Yayla Abide, C., Yenidede, I., Thornton, J. G., Chappell, L. C. & Williamson, C., 2 Mar 2019, In : The Lancet. 393, 10174, p. 899-909 11 p.

    Research output: Contribution to journalArticle

  13. Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study

    Everson, M., Garcia-Peraza-Herrera, L. C., Li, W., Luengo, I. M., Ahmad, O., Banks, M., Magee, C., Alzoubaidi, D., Hsu, H., Graham, D., Vercauteren, T., Lovat, L. B., Ourselin, S., Kashin, S., Wang, H., Wang, W. & Haidry, R., 1 Mar 2019, In : United European Gastroenterology Journal. 7, 2, p. 297-306 10 p.

    Research output: Contribution to journalArticle

  14. Quality of stepped-wedge trial reporting can be reliably assessed using an updated CONSORT: crowd-sourcing systematic review

    The SW-CRT Review Group, Hemming, K., Carroll, K., Thompson, J., Forbes, A., Taljaard, M., Dutton, S. J., Madurasinghe, V., Morgan, K., Stuart, B., Fielding, K., Cornelius, V., Turner, E. L., Hooper, R., Giraudeau, B., Seed, P. T., Nickless, A., Grayling, M., Prague, M., Kerry, S. & 31 others, Bell, L., Watson, E., Gafoor, R., Marlin, N., Yorganci, E., Smith, L., Mbekwe, M., Teerenstra, S., Chan, C., Moerbeek, M., Jacobsen, P., Bond, S., Jones, B., Preisser, J., Kanaan, M., Hewitt, C., Easter, C., Pellatt-Higgins, T., Pankhurst, L., Agbla, S. C., Eldridge, S., Lerner, R. G., Leyrat, C., Pilling, M., Forman, J. R., Bhattacharya, I., Magill, N., Candlish, J., McDowell, C., Martin, J. & Kristunas, C., 1 Mar 2019, In : Journal of Clinical Epidemiology. 107, p. 77-88 12 p.

    Research output: Contribution to journalReview article

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

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