Video Processing and Understanding Lab
Universidad Autónoma de Madrid
,
Escuela Politécnica Superior
SI1/PJI/2019-00414 AISEEME (2020-2022)
Aiding diagnosis by self-supervised deep learning from unlabeled medical imaging
Supported by the
Consejería de Educación e Investigación
of the
Comunidad de Madrid
Home
Work Packages
Outcomes
Publications
Public Resources
Project's Documents
Members
Registered Observers
Contacts
News
... All the News
Project's Documents
Deliverables
D1.1 System infrastructure
D1.1 “System Infrastructure”
version 3 (Aug. 2022)
D1.2 Evaluation datasets
D1.2 “Evaluation Datasets”
(Jan. 2021)
D2 Enabling technologies: algorithms and findings
D2 “Enabling technologies: algorithms and findings”
(Mar. 2022)
D3 Design of a curriculum-based multi-task self-supervised learning regime
D3 "Design of a curriculum-based multi-task self-supervised learning regime"
(Aug. 2022)
D4 Multi-task SSL framework for applications in medical imaging
D4 “Multi-task SSL framework for applications in medical imaging”
(Dec. 2022)
D5 Results report
D5 “Results Report” version 1
(Jan. 2021)
D5 “Results Report” version 2
(Mar. 2022)
D5 “Results Report” version 3
(Dec. 2022)
Last update 12/12/2022
Universidad Autónoma de Madrid
,
Escuela Politécnica Superior
Video Processing and Understanding Lab