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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
21 - 30 of 78
- Talk2Car: Predicting physical trajectories for natural language commands(2022)
Authors: Dusan Grujicic, Matthew Blaschko, Marie-Francine Moens
Pages: 23809 - 123834 - Deep learning on fundus images detects glaucoma beyond the optic disc(2021)
Authors: Ruben Hemelings, João Breda, Matthew Blaschko, Ingeborg Stalmans
- 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 - R-GAP: Recursive gradient attack on privacy(2021)
Authors: Junyi Zhu, Matthew Blaschko
Number of pages: 17 - Pathological myopia classification with simultaneous lesion segmentation using deep learning(2021)
Authors: Ruben Hemelings, Matthew Blaschko, Julie Jacob, Ingeborg Stalmans
- On the relationship between calibrated predictors and unbiased volume estimation(2021)
Authors: Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew Blaschko
Pages: 678 - 688 - Meta-cal: well-controlled post-hoc calibration by ranking(2021)
Authors: Xingchen Ma, Matthew Blaschko
- 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