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MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation


Mar 21, 2021
Marta B. M. Ranzini, Lucas Fidon, SĂ©bastien Ourselin, Marc Modat, Tom Vercauteren

* Abstract accepted at IEEE International Symposium on Biomedical Imaging (ISBI) 2021 

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Scale factor point spread function matching: Beyond aliasing in image resampling


Jan 16, 2021
M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sebastien Ourselin

* Published in MICCAI 2015 

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Scribble-based Domain Adaptation via Co-segmentation


Jul 07, 2020
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel Saeed, Marc Modat, Sebastien Ourselin, Tom Vercauteren

* Accepted at MICCAI 2020 

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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 

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On the Initialization of Long Short-Term Memory Networks


Dec 22, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sebastien Ourselin, Lauge Sorensen


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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 

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Knowledge distillation for semi-supervised domain adaptation


Aug 16, 2019
Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai

* MLCN MICCAI workshop 

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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


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Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation


Jul 25, 2019
Reuben Dorent, Samuel Joutard, Marc Modat, SĂ©bastien Ourselin, Tom Vercauteren

* Accepted at MICCAI 2019 

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Permutohedral Attention Module for Efficient Non-Local Neural Networks


Jul 01, 2019
Samuel Joutard, Reuben Dorent, Amanda Isaac, Sebastien Ourselin, Tom Vercauteren, Marc Modat

* Accepted at MICCAI-2019 

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Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling


Mar 17, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin, Lauge Sørensen

* Medical Image Analysis, Volume 53, Pages 39-46, 2019 
* arXiv admin note: substantial text overlap with arXiv:1808.05500 

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Grey matter sublayer thickness estimation in themouse cerebellum


Jan 08, 2019
Da Ma, Manuel J. Cardoso, Maria A. Zuluaga, Marc Modat, Nick. Powell, Frances Wiseman, Victor Tybulewicz, Elizabeth Fisher, Mark. F. Lythgoe, Sebastien Ourselin

* International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2015 
* 8 pages, 7 figures, International Conference on Medical Image Computing and Computer-Assisted Intervention 2015 

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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation


Oct 03, 2018
Mauricio Orbes Arteaga, Lauge Sørensen, Jorge Cardoso, Marc Modat, Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai


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Deep Boosted Regression for MR to CT Synthesis


Aug 22, 2018
Kerstin Kläser, Pawel Markiewicz, Marta Ranzini, Wenqi Li, Marc Modat, Brian F Hutton, David Atkinson, Kris Thielemans, M Jorge Cardoso, Sebastien Ourselin

* Accepted at SASHIMI2018 

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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 

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Robust training of recurrent neural networks to handle missing data for disease progression modeling


Aug 16, 2018
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin, Lauge Sørensen

* 9 pages, 1 figure, MIDL conference 

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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, SĂ©bastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

* Accepted manuscript in Medical Image Analysis 

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Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections


Jan 16, 2018
Juan Eugenio Iglesias, Marc Modat, Loic Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed Lein, Bruce Fischl, Sebastien Ourselin


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Label-driven weakly-supervised learning for multimodal deformable image registration


Dec 24, 2017
Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

* Accepted to ISBI 2018 

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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, SĂ©bastien 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 

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Part-to-whole Registration of Histology and MRI using Shape Elements


Aug 27, 2017
Jonas Pichat, Juan Eugenio Iglesias, Sotiris Nousias, Tarek Yousry, Sebastien Ourselin, Marc Modat

* Paper accepted at ICCV Workshop (Bio-Image Computing) 

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