Dementia modelling

Informacje na temat projektu

DEMO

Identyfikator umowy o grant: 721820

DOI 10.3030/721820

Projekt został zamknięty

Data podpisania przez KE 1 Sierpnia 2016

Data rozpoczęcia 1 Września 2016

Data zakończenia 31 Sierpnia 2020

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity € 853 451,64

Wkład UE € 853 451,64

Koordynowany przez

BIOMEDIQ AS
Denmark

Rezultaty

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

Publikacje

Other (1)

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

Autorzy: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Opublikowane w: Proceedings of the RSNA, 2019
Wydawca: NA

Conference proceedings (7)

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

Autorzy: 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
Opublikowane w: SPIE Medical Imaging, 2021
Wydawca: SPIE

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

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

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

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

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

Autorzy: Mauricio Orbes, Lauge Sørensen, Jorge Cardoso, Marc Modat, Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
Opublikowane w: Medical Imaging 2019: Image Processing, 2019, Strona(/y) 27, ISBN 9781-510625464
Wydawca: SPIE
DOI: 10.1117/12.2512520

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

Autorzy: 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
Opublikowane w: 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, Numer 11795, 2019, Strona(/y) 54-62, ISBN 978-3-030-33390-4
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-33391-1_7

Knowledge Distillation for Semi-supervised Domain Adaptation

Autorzy: Mauricio Orbes-Arteainst, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Opublikowane w: 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, Numer 11796, 2019, Strona(/y) 68-76, ISBN 978-3-030-32694-4
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-32695-1_8

On the Initialization of Long Short-Term Memory Networks

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

Peer reviewed articles (2)

Robust parametric modeling of Alzheimer’s disease progression

Autorzy: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Opublikowane w: NeuroImage, 2020, Strona(/y) 117460, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.117460

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

Autorzy: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Opublikowane w: Medical Image Analysis, Numer 53, 2019, Strona(/y) 39-46, ISSN 1361-8415
Wydawca: Elsevier BV
DOI: 10.1016/j.media.2019.01.004