King's College London

Research portal

Research Outputs

  1. 2020
  2. Ahmed, Y, Hussein, AA, May, PR, Ahmad, B, Khan, A, Benkowski, J, Durrani, A, Khan, S, Kozlowski, J, Saar, M, Wijburg, CJ, Richstone, L, Wagner, A, Yuh, B, Redorta, JP, Dasgupta, P, Khan, MS, Menon, M, Peabody, JO, Hosseini, A, Gaboardi, F, Pini, G, Schanne, F, Mottrie, A, Rha, KH, Hemal, A, Stockle, M, Kelly, J, Tan, WS, Maatman, TJ, Poulakis, V, Kaouk, J, Canda, AE, Balbay, MD, Wiklund, P & Guru, KA 2020, 'Quality of surgical care can impact survival in patients with bladder cancer after robot-assisted radical cystectomy: results from the International Robotic Cystectomy Consortium', African Journal of Urology, vol. 26, no. 1, 22. https://doi.org/10.1186/s12301-020-00031-y
  3. Higuchi, M, Abe, T, Hotta, K, Morita, K, Miyata, H, Furumido, J, Iwahara, N, Kon, M, Osawa, T, Matsumoto, R, Kikuchi, H, Kurashima, Y, Murai, S, Aydin, A, Raison, N, Ahmed, K, Khan, MS, Dasgupta, P & Shinohara, N 2020, 'Development and validation of a porcine organ model for training in essential laparoscopic surgical skills', International Journal of Urology. https://doi.org/10.1111/iju.14315
  4. 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
  5. 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
  6. 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.
  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. Krimphove, MJ, Reese, S, Chen, X, Marchese, M, Cone, E, Tully, KH, Paciotti, M, Kibel, AS, Melnitchouk, N, Kluth, LA, Dasgupta, P & Trinh, Q-D 2020, 'Minimally invasive cancer surgery is associated with a lower risk of venous thromboembolic events', Journal of Surgical Oncology, vol. 121, no. 3, pp. 578-583. https://doi.org/10.1002/jso.25832
  13. Uro-technology and SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology 2020, 'Artificial intelligence and neural networks in urology: current clinical applications', Minerva urologica e nefrologica = The Italian journal of urology and nephrology, vol. 72, no. 1, pp. 49-57. https://doi.org/10.23736/S0393-2249.19.03613-0
  14. 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
  15. 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
  16. Chen, MY, Skewes, J, Desselle, M, Wong, C, Woodruff, MA, Dasgupta, P & Rukin, NJ 2020, 'Current applications of three-dimensional printing in urology', BJU International, vol. 125, no. 1, pp. 17-27. https://doi.org/10.1111/bju.14928
  17. 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
Previous 1 2 3 4 5 6 7 8 ...27 Next

Export:RIS BibTex Word PDF - will at most contain 500 items

Refine results Clear filters

Language

Language

Publication year

Publication year

Full text

Full text

Meeting and poster abstracts

Authors

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454