Search results

• 2021

  Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets

  Dorent, R., Booth, T., Li, W., Sudre, C. H., Kafiabadi, S., Cardoso, M. J., Ourselin, S. & Vercauteren, T., Jan 2021, In: Medical Image Analysis. 67, 101862.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Segmentation 100%
  • Brain Lesion 100%
  • White Matter 50%
  • Building-Blocks 33%
  • Quantitative Assessment 33%
  21 Citations (Scopus)
• 2020

  An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

  Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P. A., Aughwane, R., Melbourne, A., Doel, T., Dymarkowski, S., De Coppi, P., David, A. L., Deprest, J., Ourselin, S. & Vercauteren, T., 1 Feb 2020, In: NeuroImage. 206, 116324.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • super resolution 100%
  • Segmentation 100%
  • Convolutional Neural Network 40%
  • Roles 20%
  • Reconstruction Result 20%
  169 Citations (Scopus)

  249 Downloads (Pure)
• 2019

  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 journal › Article › peer-review

  Open Access

  • Image Segmentation 100%
  • Convolutional Neural Network 100%
  • Uncertainty Estimation 100%
  • Segmentation 100%
  • Estimation 100%
  405 Citations (Scopus)

• An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI

  Shapey, J., Wang, G., Dorent, R., Dimitriadis, A., Li, W., Paddick, I., Kitchen, N., Bisdas, S., Saeed, S. R., Ourselin, S., Bradford, R. & Vercauteren, T., 6 Dec 2019, (E-pub ahead of print) In: Journal of Neurosurgery. p. 1-9 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Magnetic Resonance Imaging 100%
  • Vestibular Schwannoma 100%
  • Volumetry 100%
  • Automatic Segmentation 100%
  • Acoustic Neuroma 100%
  71 Citations (Scopus)

  70 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Diagnosis 100%
  • Capillary 100%
  • Esophageal Squamous Cell Carcinoma 100%
  • Neoplasm 50%
  • Squamous Cell 50%
  67 Citations (Scopus)

  63 Downloads (Pure)

• Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

  Wang, G., Li, W., Ourselin, S. & Vercauteren, T., 13 Aug 2019, In: Frontiers in Computational Neuroscience. 13, 56.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Tumor Segmentation 100%
  • Convolutional Neural Network 100%
  • Uncertainty Estimation 100%
  • segmentation accuracy 75%
  • Segmentation 75%
  169 Citations (Scopus)

  259 Downloads (Pure)

• 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 proceeding › Conference paper › peer-review

  Open Access

  File

  • Segmentation 100%
  • Brain Lesion 100%
  • Roles 50%
  • Building-Blocks 50%
  • Segmentation Approach 50%
  2 Citations (Scopus)

  55 Downloads (Pure)
• 2018

  An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI

  Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P. A., Aughwane, R., Melbourne, A., Doel, T., David, A. L., Deprest, J., Ourselin, S. & Vercauteren, T., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, Vol. 11070. p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Segmentation 100%
  • Convolutional Neural Network 40%
  • super resolution 40%
  • Roles 20%
  • User Interaction 20%
  38 Citations (Scopus)

• Deep boosted regression for mr to ct synthesis

  Kläser, K., Markiewicz, P., Ranzini, M., Li, W., Modat, M., Hutton, B. F., Atkinson, D., Thielemans, K., Cardoso, M. J. & Ourselin, S., 12 Sept 2018, (E-pub ahead of print) In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11037, p. 61-70 10 p.

  Research output: Contribution to journal › Conference paper › peer-review

  • Tomography 100%
  • Positron 66%
  • Emissions 66%
  • Error 33%
  • Show 16%
  13 Citations (Scopus)

• DEEP LEARNING BASED CLASSIFICATION OF INTRAPAPILLARY CAPILLARY LOOPS FOR DETECTION OF EARLY OESOPHAGEAL SQUAMOUS NEOPLASIA

  Everson, M., Herrera, L. G. P., Li, W., Muntion, I. L., Ahmad, O., Graham, D., Banks, M., Lovat, L., Vercauteren, T., Ourselin, S., Wang, W. & Haidry, R., Jun 2018, In: Gut. 67, p. A10-A11

  Research output: Contribution to journal › Meeting Abstract › peer-review

• DEEP LEARNING FOR REAL-TIME AUTOMATED POLYP LOCALISATION IN COLONOSCOPY VIDEOS

  Ahmad, O. F., Luengo, I., Herrera, L. G. P., Brandao, P., Li, W., Everson, M., Haidry, R., Vega, R., Seward, E., Vercauteren, T. & Lovat, L. B., Jun 2018, In: Gut. 67, p. A13-A14

  Research output: Contribution to journal › Meeting Abstract › peer-review

• Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning

  Bragman, F. J. S., Tanno, R., Eaton-Rosen, Z., Li, W., Hawkes, D. J., Ourselin, S., Alexander, D. C., McClelland, J. R. & Cardoso, M. J., 18 Jun 2018, In: arXiv.

  Research output: Contribution to journal › Article › peer-review

  File

  • Multitask Learning 100%
  • Segmentation 100%
  • Neural Network Architecture 50%
  30 Citations (Scopus)

  74 Downloads (Pure)