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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
1 - 10 of 78
- Metrics reloaded: recommendations for image analysis validation(2024)
Authors: Matthew Blaschko, Ben Van Calster
- Deep learning for prediction of future endoscopic disease activity in ulcerative colitis(2023)
Authors: Matthew Blaschko, Tom Eelbode, Frederik Maes, Raf Bisschops
Pages: 1 - 7 - Surrogate model extension (SME): A fast and accurate weight update attack on federated learning(2023)
Authors: Junyi Zhu, Matthew Blaschko
Pages: 43228 - 43257 - A generalizable deep learning regression model for automated glaucoma screening from fundus images(2023)
Authors: Ruben Hemelings, Matthew Blaschko, João Breda
- Mitigating bias in Bayesian optimized data while designing MacPherson suspension architecture(2023)
Authors: Matthew Blaschko
Pages: 904 - 915 - Kinematics design of a MacPherson suspension architecture based on Bayesian optimization(2023)
Authors: Matthew Blaschko
- MRF-UNets: Searching UNet with Markov Random Fields(2023)
Authors: Zifu Wang, Matthew Blaschko
Pages: 599 - 614 - Uncertainty Estimation in Machine Learning: Applications in Neural Network Compression and Calibration(2023)
Authors: Xingchen Ma, Matthew Blaschko
- Improved imagery throughput via cascaded uncertainty pruning on U-Net++(2023)
Authors: Zifu Wang, Matthew Blaschko
- Confidence-aware personalized federated learning via variational expectation maximization(2023)
Authors: Junyi Zhu, Matthew Blaschko
Pages: 24542 - 24551