Dementia modelling

Informazioni relative al progetto

DEMO

ID dell’accordo di sovvenzione: 721820

DOI 10.3030/721820

Progetto chiuso

Data della firma CE 1 Agosto 2016

Data di avvio 1 Settembre 2016

Data di completamento 31 Agosto 2020

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 853 451,64

Contributo UE € 853 451,64

Coordinato da

BIOMEDIQ AS
Denmark

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Other (1)

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

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

Conference proceedings (7)

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

Autori: 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
Pubblicato in: SPIE Medical Imaging, 2021
Editore: SPIE

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

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

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

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

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

Autori: Mauricio Orbes, Lauge Sørensen, Jorge Cardoso, Marc Modat, Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
Pubblicato in: Medical Imaging 2019: Image Processing, 2019, Pagina/e 27, ISBN 9781-510625464
Editore: SPIE
DOI: 10.1117/12.2512520

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

Autori: 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
Pubblicato 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, Numero 11795, 2019, Pagina/e 54-62, ISBN 978-3-030-33390-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33391-1_7

Knowledge Distillation for Semi-supervised Domain Adaptation

Autori: Mauricio Orbes-Arteainst, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Pubblicato 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, Numero 11796, 2019, Pagina/e 68-76, ISBN 978-3-030-32694-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-32695-1_8

On the Initialization of Long Short-Term Memory Networks

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

Peer reviewed articles (2)

Robust parametric modeling of Alzheimer’s disease progression

Autori: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Pubblicato in: NeuroImage, 2020, Pagina/e 117460, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.117460

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

Autori: Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Pubblicato in: Medical Image Analysis, Numero 53, 2019, Pagina/e 39-46, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2019.01.004