Hugo Leite-Almeida
Principal Investigator
Project Leader
Comorbidity of cHronic Pain and mood disorders: breaking the vicious cYcle (HaPpY) – ESR 3 Predictive factors for pain evolution as well as susceptibility and resilience in chronic pain and mood disorders comorbidity
This project has as general aim to identify behavioural, functional (local field potentials) and molecular (e.g. inflammatory markers) predictive factors of chronic pain in preclinical models
Funding Agency
European Commission
Project Reference
–
Project Members
Main Project Outcomes
S. Queirós, “Right ventricular segmentation in multi-view cardiac MRI using a unified U-net model”, in E. Puyol Antón et al. (eds) Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science, vol 13131, pp. 287-295, Springer, Cham, 2022.
“Best Paper Award in the M&Ms-2 Challenge”, by M&Ms2 Challenge organizers and the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.
Main Project Outcomes
recently initiated
Contact us
Phone: +351 253 604 967
Fax: +351 253 604 809
Email: icvs.sec@med.uminho.pt
Address
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
GPS: +41° 33′ 47.33″, -8° 24′ 3.39″
Copyright ©2022 ICVS. All Rights Reserved
Copyright ©2022 ICVS. All Rights Reserved
Address
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
GPS: +41° 33′ 47.33″, -8° 24′ 3.39″
Copyright ©2022 ICVS. All Rights Reserved
Address
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
GPS: +41° 33′ 47.33″, -8° 24′ 3.39″