Scholar
Matthew Blaschko
Google Scholar ID: EmmO7LcAAAAJ
KU Leuven
Citations & Impact
Citations
10,344
H-index
36
i10-index
73
Publications
20
Co-authors
170
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Co-organizer of the CVPR 2025 workshop: 'Another Brick in the AI Wall: Building Practical Solutions from Theoretical Foundations'
- Co-organized the ECCV 2020 workshop and challenge: 'Commands 4 Autonomous Vehicles'
- Co-organized the 2nd Learning from Limited Labeled Data (LLD) Workshop at ICLR 2019
- Co-organized the NIPS 2017 workshop on 'Learning with Limited Labeled Data: Weak Supervision and Beyond'
- Supervised numerous PhD theses on cutting-edge topics such as deep learning calibration, semantic segmentation, Alzheimer’s disease heterogeneity, and privacy-preserving learning
Education
- Habilitation (HDR), École Normale Supérieure de Cachan
- Newton International Fellow, University of Oxford
- Dr. rer. nat., Max Planck Institutes Tübingen, awarded by Technische Universität Berlin
- M.S., University of Massachusetts Amherst
- B.S., Columbia University
Background
- Director of the KU Leuven ELLIS Unit
- Fellow in the ELLIS Health program, part of the European Laboratory for Learning and Intelligent Systems
- Core PI in the Flanders AI Research Program
- Work package lead for Decision Support Systems and Medical Imaging
- Member of the KU Leuven Institute for Artificial Intelligence
- Leader of the Machine Learning and Data Science working group
- Research technology integrated into MONA, software for ophthalmic image analysis
