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  1. 2020
  2. Rodionov, R, O'Keeffe, A, Nowell, M, Rizzi, M, Vakharia, VN, Wykes, V, Eriksson, SH, Miserocchi, A, McEvoy, AW, Ourselin, S & Duncan, JS 2020, 'Increasing the accuracy of 3D EEG implantations', Journal of Neurosurgery, vol. 133, no. 1, pp. 35-42. https://doi.org/10.3171/2019.2.JNS183313
  3. Aughwane, R, Mufti, N, Flouri, D, Maksym, K, Spencer, R, Sokolska, M, Kendall, G, Atkinson, D, Bainbridge, A, Deprest, J, Vercauteren, T, Ourselin, S, David, AL & Melbourne, A 2020, 'MRI Measurement of Placental Perfusion and Oxygen Saturation in Early Onset Fetal Growth Restriction', BJOG. https://doi.org/10.1111/1471-0528.16387
  4. Schirmer, MD, Venkataraman, A, Rekik, I, Kim, M, Mostofsky, S, Nebel, MB, Rosch, K, Seymour, K, Crocetti, D, Irzan, H, Hütel, M, Ourselin, S, Marlow, N, Melbourne, A, Levchenko, E, Zhou, S, Kunda, M, Lu, H, Dvornek, NC, Zhuang, J, Pinto, G, Samal, S, Bernal-Rusiel, JL, Pienaar, R & Chung, AW 2020, 'Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge', arXiv.
  5. von Dadelszen, P, Poston, L, Craik, R, Tribe, R, Sandall, J, Shennan, A, Magee, L, Russell, D, d’Alessandro, U, Roca, A, Jah, H, Temmerman, M, Koech Etyang, A, Sevene, E, Chin, P, Sevene, E, Lawn, J, Blencowe, H, Salisbury, T, Barratt, B & Makanga, PT 2020, 'The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) Network’s first protocol: deep phenotyping in three sub-Saharan African countries', Reproductive Health, vol. 17, 51. https://doi.org/10.1186/s12978-020-0872-9
  6. Daniele, MAS, Martinez-Alvarez, M, Etyang, AK, Vidler, M, Salisbury, T, Makanga, PT, Musitia, P, Flint-O'Kane, M, Brown, TW, Diallo, BA, Boene, H, Stones, W, Von Dadelszen, P, Magee, LA, Sandall, J, D'Alessandro, U, Roca, A, Jah, H, Oguchukwu, O, Prentice, A, Sesey, A, Lette, K, Bah, A, Sanyang, C, Temmerman, M, Amondi, M, Chege, D, Okiro, P, Omuse, G, Wanyonyi, S, Sevene, E, Chin, P, Tchavana, C, Macuacua, S, Vala, A, Quimice, L, Maculuve, S, Macete, E, Mandomando, I, Carillho, C, Craik, R, Strang, A, Poston, L, Tribe, R, Shennan, A, Moore, S, Barratt, B, Chappell, L, Beevers, S & Bramham, K 2020, 'The contribution of qualitative research within the PRECISE study in sub-Saharan Africa', Reproductive Health, vol. 17, 58. https://doi.org/10.1186/s12978-020-0875-6
  7. Oakley, LL, Awogbade, M, Brien, S, Briley, A, Chorozoglou, M, Drasar, E, Johns, J, Rhodes, E, Robinson, V, Seed, P, Sharif, J, Singh, C, Telfer, P, Thompson, H, Watt-Coote, I, Howard, J & Oteng-Ntim, E 2020, 'Serial prophylactic exchange blood transfusion in pregnant women with sickle cell disease (TAPS-2): study protocol for a randomised controlled feasibility trial', Trials, vol. 21, no. 1, pp. 347. https://doi.org/10.1186/s13063-020-4212-8
  8. Marcus, HJ, Vakharia, VN, Sparks, R, Rodionov, R, Kitchen, N, McEvoy, AW, Miserocchi, A, Thorne, L, Ourselin, S & Duncan, JS 2020, 'Computer-Assisted Versus Manual Planning for Stereotactic Brain Biopsy: A Retrospective Comparative Pilot Study', Operative neurosurgery (Hagerstown, Md.), vol. 18, no. 4, pp. 417-422. https://doi.org/10.1093/ons/opz177
  9. Prados, F, Moccia, M, Johnson, A, Yiannakas, M, Grussu, F, Cardoso, MJ, Ciccarelli, O, Ourselin, S, Barkhof, F & Wheeler-Kingshott, C 2020, 'Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy', NeuroImage, vol. 209, 116489. https://doi.org/10.1016/j.neuroimage.2019.116489
  10. Ranzini, MBM, Groothuis, I, Klaser, K, Cardoso, MJ, Henckel, J, Ourselin, S, Hart, A & Modat, M 2020, Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. in ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging., 9098633, Proceedings - International Symposium on Biomedical Imaging, vol. 2020-April, IEEE Computer Society, pp. 600-604, 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, United States, 3/04/2020. https://doi.org/10.1109/ISBI45749.2020.9098633
  11. Granados, A, Lucena, O, Vakharia, V, Miserocchi, A, McEvoy, AW, Vos, SB, Rodionov, R, Duncan, JS, Sparks, R & Ourselin, S 2020, Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. in ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging., 9098730, Proceedings - International Symposium on Biomedical Imaging, vol. 2020-April, IEEE Computer Society, pp. 674-677, 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, United States, 3/04/2020. https://doi.org/10.1109/ISBI45749.2020.9098730
  12. Lillington, J, Brusaferri, L, Kläser, K, Shmueli, K, Neji, R, Hutton, BF, Fraioli, F, Arridge, S, Cardoso, MJ, Ourselin, S, Thielemans, K & Atkinson, D 2020, 'PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques', Medical physics, vol. 47, no. 2, pp. 790-811. https://doi.org/10.1002/mp.13943
  13. Chung, KK, Altmann, D, Barkhof, F, Miszkiel, K, Brex, PA, O'Riordan, J, Ebner, M, Prados, F, Cardoso, MJ, Vercauteren, T, Ourselin, S, Thompson, A, Ciccarelli, O & Chard, DT 2020, 'A 30-Year Clinical and Magnetic Resonance Imaging Observational Study of Multiple Sclerosis and Clinically Isolated Syndromes', Annals of Neurology, vol. 87, no. 1, pp. 63-74. https://doi.org/10.1002/ana.25637
  14. Mehta, P, Antonelli, M, Ahmed, H, Emberton, M, Punwani, S & Ourselin, S 2020, Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. in HK Hahn & MA Mazurowski (eds), Medical Imaging 2020: Computer-Aided Diagnosis., 1131433, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11314, SPIE, Medical Imaging 2020: Computer-Aided Diagnosis, Houston, United States, 16/02/2020. https://doi.org/10.1117/12.2547682
  15. Shapey, J, Xie, Y, Nabavi, E, Ebner, M, Maneas, E, Saeed, SR, Dorward, N, Kitchen, N, Desjardins, AE, Ourselin, S, Jaunmuktane, Z, Brandner, S, Bradford, R & Vercauteren, T 2020, Ex vivo assessment of the optical characteristics of human brain and tumour tissue. in NT Shaked & O Hayden (eds), Label-Free Biomedical Imaging and Sensing (LBIS) 2020., 112510J, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11251, SPIE, Label-Free Biomedical Imaging and Sensing ,LBIS 2020, San Francisco, United States, 1/02/2020. https://doi.org/10.1117/12.2545694
  16. Convery, RS, Jiao, J, Clarke, MTM, Moore, KM, Koriath, CAM, Woollacott, IOC, Weston, PSJ, Gunn, R, Rabiner, I, Cash, DM, Rossor, MN, Warren, JD, Fox, NC, Ourselin, S, Bocchetta, M & Rohrer, JD 2020, 'Longitudinal (18F)AV-1451 PET imaging in a patient with frontotemporal dementia due to a Q351R MAPT mutation', Journal of Neurology, Neurosurgery and Psychiatry, vol. 91, no. 1, pp. 106-108. https://doi.org/10.1136/jnnp-2019-320904
  17. Drobny, D, Ranzini, M, Isaac, A, Vercauteren, T, Ourselin, S, Choi, D & Modat, M 2020, Towards automated spine mobility quantification: a locally rigid ct to x-ray registration framework. in Z Spiclin, J McClelland, J Kybic & O Goksel (eds), Biomedical Image Registration - 9th International Workshop, WBIR 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12120 LNCS, SPRINGER, pp. 67-77, 9th International Workshop on Biomedical Image Registration, WBIR 2020, Portoroz, Slovenia, 1/12/2020. https://doi.org/10.1007/978-3-030-50120-4_7
  18. Convery, RS, Neason, MR, Cash, DM, Cardoso, MJ, Modat, M, Ourselin, S, Warren, JD, Rohrer, JD & Bocchetta, M 2020, 'Basal forebrain atrophy in frontotemporal dementia', NeuroImage: Clinical, vol. 26, 102210. https://doi.org/10.1016/j.nicl.2020.102210
  19. Maneas, E, Aughwane, R, Huynh, N, Xia, W, Ansari, R, Kuniyil Ajith Singh, M, Hutchinson, JC, Sebire, NJ, Arthurs, OJ, Deprest, J, Ourselin, S, Beard, PC, Melbourne, A, Vercauteren, T, David, AL & Desjardins, AE 2020, 'Front Cover: Photoacoustic imaging of the human placental vasculature (J. Biophotonics 4/2020)', Journal of biophotonics, vol. 13, no. 4, pp. e202070009. https://doi.org/10.1002/jbio.202070009
  20. 2019
  21. Zhuang, X, Li, L, Payer, C, Štern, D, Urschler, M, Heinrich, MP, Oster, J, Wang, C, Smedby, Ö, Bian, C, Yang, X, Heng, P-A, Mortazi, A, Bagci, U, Yang, G, Sun, C, Galisot, G, Ramel, J-Y, Brouard, T, Tong, Q, Si, W, Liao, X, Zeng, G, Shi, Z, Zheng, G, Wang, C, MacGillivray, T, Newby, D, Rhode, K, Ourselin, S, Mohiaddin, R, Keegan, J, Firmin, D & Yang, G 2019, 'Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge', Medical Image Analysis, vol. 58, 101537, pp. 101537. https://doi.org/10.1016/j.media.2019.101537
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