Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

 CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Sébastien Ourselin

School of Biomedical Engineering and Imaging Sciences

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

Sep 23, 2020
Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang


  Access Paper or Ask Questions
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking

Sep 07, 2020
Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin

* Accepted in CARE Workshop, held in conjunction with MICCAI 2016 
  Access Paper or Ask Questions
Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning

Jun 28, 2020
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin

* 13 pages, 6 figures, accepted at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 
  Access Paper or Ask Questions
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework

Apr 20, 2020
Marta B. M. Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat

* Accepted at IEEE International Symposium on Biomedical Imaging (ISBI) 2020 
  Access Paper or Ask Questions
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI

Apr 05, 2020
Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin

* Workshop on RV Segmentation Challenge in Cardiac MRI in conjunction with Medical Image Computing and Computer-Assisted Intervention 2012 
  Access Paper or Ask Questions
Privacy-preserving Federated Brain Tumour Segmentation

Oct 02, 2019
Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng

* MICCAI MLMI 2019 
  Access Paper or Ask Questions
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning

Sep 17, 2019
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso

* Accepted at 1st International Workshop on Domain Adaptation and Representation Transfer held at MICCAI 2019 
  Access Paper or Ask Questions
Let's agree to disagree: learning highly debatable multirater labelling

Sep 04, 2019
Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Rolf H. Jäger, M. Jorge Cardoso

* Accepted at MICCAI 2019 
  Access Paper or Ask Questions
Robust parametric modeling of Alzheimer's disease progression

Aug 14, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen


  Access Paper or Ask Questions
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation

Jul 25, 2019
Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren

* Accepted at MICCAI 2019 
  Access Paper or Ask Questions
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Apr 01, 2019
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Elodie Puybareau, Leticia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels

* Accepted for publication in IEEE Transactions on Medical Imaging 
  Access Paper or Ask Questions
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

Aug 20, 2018
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai

* Conference on Medical Imaging with Deep Learning MIDL 2018 
  Access Paper or Ask Questions
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

Jul 09, 2018
Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

* Accepted manuscript in Medical Image Analysis 
  Access Paper or Ask Questions
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation

Jul 06, 2018
Lorenz Berger, Eoin Hyde, Matt Gibb, Nevil Pavithran, Garin Kelly, Faiz Mumtaz, Sébastien Ourselin

* arXiv admin note: substantial text overlap with arXiv:1709.02764 
  Access Paper or Ask Questions
VTrails: Inferring Vessels with Geodesic Connectivity Trees

Jun 08, 2018
Stefano Moriconi, Maria A. Zuluaga, H. Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

* IPMI 2017: Information Processing in Medical Imaging pp 672-684 
  Access Paper or Ask Questions
Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy

Feb 28, 2018
Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren

* Accepted for publication in International Journal of Computer Assisted Radiology and Surgery (IJCARS) 
  Access Paper or Ask Questions
NiftyNet: a deep-learning platform for medical imaging

Oct 16, 2017
Eli Gibson, Wenqi Li, Carole Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren

* Wenqi Li and Eli Gibson contributed equally to this work. M. Jorge Cardoso and Tom Vercauteren contributed equally to this work. 26 pages, 6 figures; Update includes additional applications, updated author list and formatting for journal submission 
  Access Paper or Ask Questions
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Jul 14, 2017
Carole H Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso


  Access Paper or Ask Questions
What is the distribution of the number of unique original items in a bootstrap sample?

Feb 18, 2016
Alex F. Mendelson, Maria A. Zuluaga, Brian F. Hutton, Sébastien Ourselin


  Access Paper or Ask Questions