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 → 31 Aug 2020 - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Sep 2015 → 31 Jul 2020
Projects
1 - 10 of 17 results
- Privacy preserving core setsFrom1 Apr 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 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
- Advances in Neural Architecture SearchFrom10 Apr 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Privacy in machine learningFrom7 Apr 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- DISCO-Func: Discrete Optimization in Neural Network Function Classes through Submodular AnalysisFrom1 Jan 2019 → TodayFunding: FWO research project
- Machine learning for computer-aided diagnostics in echocardiographyFrom1 Oct 2018 → 30 Sep 2020Funding: IOF - Industrial Research Fund
Publications
1 - 10 of 43 results
- Pathological myopia classification with simultaneous lesion segmentation using deep learning(2021)
Authors: Ruben Hemelings, Bart Elen, Matthew Blaschko, Julie Jacob, Ingeborg Stalmans, Patrick De Boever
Number of pages: 9 - Commands 4 autonomous vehicles (C4AV) workshop summary(2021)
Authors: Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, 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: Huy Hoang Nguyen, Simo Saarakkala, Matthew Blaschko, Aleksei Tiulpin
Pages: 4346 - 4356 - Learning to ground medical text in a 3D human atlas(2020)
Authors: Dusan Grujicic, Gorjan Radevski, Tinne Tuytelaars, Matthew Blaschko
Pages: 302 - 312 - Tractable Approximations for Achieving Higher Model Efficiency in Computer Vision(2020)
Authors: Maxim Berman, Matthew Blaschko
- Additive tree-structured covariance function for conditional parameter spaces in Bayesian optimization(2020)
Authors: Xingchen Ma, Matthew Blaschko, S Chiappa, R Calandra
Pages: 1015 - 1025 - Optimization for medical image segmentation: Theory and practice when evaluating with Dice Score or Jaccard Index(2020)
Authors: Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew Blaschko
Pages: 3679 - 3690 - Function Norms for Neural Networks: Theory and Applications(2020)
Authors: Amal Rannen Ep Triki, Matthew Blaschko
- The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses(2020)
Authors: Jiaqian Yu, Matthew Blaschko
Pages: 735 - 748