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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 27
- Efficient deep learning workflows and novel neural network architecture for transforming remote sensing data into geo-indicatorsFrom12 Jun 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- 2D neural networks for artefact correction during CT reconstructionFrom13 Jun 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Label Efficient AI architecture for Screen-Task WORKflow assistance (LEASTWORK)From16 Sep 2021 → TodayFunding: Baekeland
- 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 (including WEAVE projects)
- Uncertainty in deep learning models with application to remote sensingFrom22 Mar 2021 → 18 Mar 2022Funding: 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-EU.1.3.- EXCELLEN SCIENCE - Marie Skłodowska-Curie actions
- IMPULS-AI-2021From1 Jan 2021 → 31 Dec 2023Funding: Department General Affairs and Finance
- 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
Publications
31 - 40 of 75
- 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
- Additive tree-structured covariance function for conditional parameter spaces in Bayesian optimization(2020)
Authors: Xingchen Ma, Matthew Blaschko
Pages: 1015 - 1025 - Predictive uncertainty for probabilistic novelty detection in text classification(2020)
Authors: Jordy Van Landeghem, Matthew Blaschko, Marie-Francine Moens
Number of pages: 7 - 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: Matthew Blaschko
Pages: 735 - 748 - Accurate prediction of glaucoma from color fundus images with a convolutional neural network that relies on active and transfer learning(2020)
Authors: Ruben Hemelings, Sophie Lemmens, Maarten Meire, Evelien Vandewalle, Matthew Blaschko, Ingeborg Stalmans
Pages: e94 - e100 - Discriminative training of conditional random fields with probably submodular constraints(2020)
Authors: Maxim Berman, Matthew Blaschko
- AOWS: Adaptive and optimal network width search with latency constraints(2020)
Authors: Maxim Berman, Matthew Blaschko
Pages: 11214 - 11223