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Researcher
Matthew Blaschko
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → Today - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Sep 2015 → 31 Jul 2020
Projects
1 - 10 of 23
- Label Efficient AI architecture for Screen-Task WORKflow assistance (LEASTWORK)From16 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Risk factors for Alzheimer’s diseaseFrom21 Jun 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Privacy preserving core setsFrom1 Apr 2021 → TodayFunding: FWO research project
- Uncertainty in deep learning models with application to remote sensingFrom22 Mar 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research expertsFrom1 Mar 2021 → TodayFunding: H2020 - Skills and Career Development (Marie Skłodowska-Curie) actions
- Deep learning for environmental monitoring by transforming earth observation data into geo-indicatorsFrom7 Dec 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Deep Learning Models for Continual Extraction of Knowledge from TextFrom13 Nov 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Spatio-temporal deep learning workflows for transforming remote sensing data into geo-indicators for environmental policy supportFrom1 Oct 2020 → TodayFunding: FWO Strategic Basic Research (SBO)
- Resource aware, highly-scalable deep learningFrom25 Sep 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Representation Learning in Underspecified Problems via Decision FeedbackFrom31 Jul 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 47
- Deep learning on fundus images detects glaucoma beyond the optic disc(2021)
Authors: Ruben Hemelings, João Breda, Matthew Blaschko, Ingeborg Stalmans
Number of pages: 12 - Remote Sensing and Deep Learning for Environmental Policy Support: From Theory to Practice(2021)
Authors: Stien Heremans, Margot Verhulst, Matthew Blaschko, Ben Somers
Pages: 5728 - 5731 - Additive tree-structured conditional parameter spaces in Bayesian optimization: A novel covariance function and a fast implementation(2021)
Authors: Xingchen Ma, Matthew Blaschko
Pages: 3024 - 3036 - Post training uncertainty calibration of deep networks for medical image segmentation(2021)
Authors: Jeroen Bertels, Matthew Blaschko
Pages: 1052 - 1056 - Pathological myopia classification with simultaneous lesion segmentation using deep learning(2021)
Authors: Ruben Hemelings, Matthew Blaschko, Julie Jacob, Ingeborg Stalmans
Number of pages: 9 - Commands 4 autonomous vehicles (C4AV) workshop summary(2021)
Authors: Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Matthew Blaschko, Tinne Tuytelaars, Marie-Francine Moens
Pages: 3 - 26 - Pathological myopia classification with simultaneous lesion segmentation using deep learning(2020)
Authors: Ruben Hemelings, Bart Elen, Matthew Blaschko, Julie Jacob, Ingeborg Stalmans, Patrick De Boever
Number of pages: 9 - Semixup: In- and out-of-manifold regularization for deep semi-supervised knee osteoarthritis severity grading from plain radiographs(2020)
Authors: Matthew Blaschko, Aleksei Tiulpin
Pages: 4346 - 4356 - Learning to ground medical text in a 3D human atlas(2020)
Authors: Dusan Grujicic, Tinne Tuytelaars, Matthew Blaschko
Pages: 302 - 312 - Tractable Approximations for Achieving Higher Model Efficiency in Computer Vision(2020)
Authors: Maxim Berman, Matthew Blaschko