Dementia modelling

Projektinformationen

DEMO

ID Finanzhilfevereinbarung: 721820

DOI 10.3030/721820

Abgeschlossenes Projekt

Startdatum 1 September 2016

Enddatum 31 August 2020

Finanziert unter

• H2020-EU.1.3.
• H2020-EU.1.3.1.

Gesamtbudget € 853 451,64

EU-Beitrag € 853 451,64

Koordiniert durch

BIOMEDIQ AS
Denmark

Leistungen

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

Recruitment completed

Veröffentlichungen

Other (1)

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

Autoren: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Veröffentlicht in: Proceedings of the RSNA, 2019
Herausgeber: NA

Conference proceedings (7)

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

Autoren: 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
Veröffentlicht in: SPIE Medical Imaging, 2021
Herausgeber: SPIE

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

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

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

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

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

Autoren: Mauricio Orbes, Lauge Sørensen, Jorge Cardoso, Marc Modat, Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
Veröffentlicht in: Medical Imaging 2019: Image Processing, 2019, Page(s) 27, ISBN 9781-510625464
Herausgeber: SPIE
DOI: 10.1117/12.2512520

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

Autoren: 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
Veröffentlicht in: 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, 11795, 2019, Page(s) 54-62, ISBN 978-3-030-33390-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-33391-1_7

Knowledge Distillation for Semi-supervised Domain Adaptation

Autoren: Mauricio Orbes-Arteainst, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Veröffentlicht in: 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, 11796, 2019, Page(s) 68-76, ISBN 978-3-030-32694-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-32695-1_8

On the Initialization of Long Short-Term Memory Networks

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

Peer reviewed articles (2)

Robust parametric modeling of Alzheimer’s disease progression

Autoren: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Veröffentlicht in: NeuroImage, 2020, Page(s) 117460, ISSN 1053-8119
Herausgeber: Academic Press
DOI: 10.1016/j.neuroimage.2020.117460

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

Autoren: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Veröffentlicht in: Medical Image Analysis, 53, 2019, Page(s) 39-46, ISSN 1361-8415
Herausgeber: Elsevier BV
DOI: 10.1016/j.media.2019.01.004