Dementia modelling

Información del proyecto

DEMO

Identificador del acuerdo de subvención: 721820

DOI 10.3030/721820

Proyecto cerrado

Fecha de la firma de la CE 1 Agosto 2016

Fecha de inicio 1 Septiembre 2016

Fecha de finalización 31 Agosto 2020

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total € 853 451,64

Aportación de la UE € 853 451,64

Coordinado por

BIOMEDIQ AS
Denmark

Resultado final

Websites, patent fillings, videos etc. (1)

Webpage completion

Webpage. Establishment of a project webpage explaining the obtained scientific results in layman’s terms and scientific reports.

Other (1)

Recruitment completed

Publicaciones

Other (1)

MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline

Autores: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Publicado en: Proceedings of the RSNA, 2019
Editor: NA

Conference proceedings (7)

Lesion-wise evaluation for effective performance monitoring of small object segmentation

Autores: Irme Groothuis, Carole Sudre, Silvia Ingala, Jo Barnes, Juan D.G. Lopez, Akshay Pai, Lauge Sørensen, Mads Nielsen, Sebastien Ourselin, Jorge M. Cardoso, Frederik Barkhof, Marc Modat
Publicado en: SPIE Medical Imaging, 2021
Editor: SPIE

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

Autores: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin, Lauge Sørensen
Publicado en: 1st International Conference on Medical Imaging with Deep Learning (MIDL), 2018, ISSN 2331-8422
Editor: arXiv

Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

Autores: Mauricio Orbes-Arteaga, Lauge Sørensen, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Mads Nielsen, Akshay Pai
Publicado en: 1st International conference on Medical Imaging with Deep Learning (MIDL), 2018, ISSN 2331-8422
Editor: arXiv

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

Autores: Mauricio Orbes, Lauge Sørensen, Jorge Cardoso, Marc Modat, Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
Publicado en: Medical Imaging 2019: Image Processing, 2019, Página(s) 27, ISBN 9781-510625464
Editor: SPIE
DOI: 10.1117/12.2512520

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning

Autores: 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
Publicado en: Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings, Edición 11795, 2019, Página(s) 54-62, ISBN 978-3-030-33390-4
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-33391-1_7

Knowledge Distillation for Semi-supervised Domain Adaptation

Autores: Mauricio Orbes-Arteainst, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Publicado en: OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings, Edición 11796, 2019, Página(s) 68-76, ISBN 978-3-030-32694-4
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-32695-1_8

On the Initialization of Long Short-Term Memory Networks

Autores: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Publicado en: Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I, Edición 11953, 2019, Página(s) 275-286, ISBN 978-3-030-36707-7
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-36708-4_23

Peer reviewed articles (2)

Robust parametric modeling of Alzheimer’s disease progression

Autores: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Publicado en: NeuroImage, 2020, Página(s) 117460, ISSN 1053-8119
Editor: Academic Press
DOI: 10.1016/j.neuroimage.2020.117460

Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling

Autores: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Publicado en: Medical Image Analysis, Edición 53, 2019, Página(s) 39-46, ISSN 1361-8415
Editor: Elsevier BV
DOI: 10.1016/j.media.2019.01.004