Matthew Blaschko
Katholieke Universiteit Leuven
H-index: 38
Europe-Belgium
Top articles of Matthew Blaschko
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Beyond classification: Definition and density-based estimation of calibration in object detection | Teodora Popordanoska Aleksei Tiulpin Matthew B Blaschko | 2024 | |
Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video | Karel Moens Jonas De Vylder Matthew B Blaschko Tinne Tuytelaars | 2024/2/13 | |
Beyond document page classification: Design, datasets, and challenges | Jordy Van Landeghem Sanket Biswas Matthew Blaschko Marie-Francine Moens | 2024 | |
Metrics reloaded: recommendations for image analysis validation | Lena Maier-Hein Annika Reinke Patrick Godau Minu D Tizabi Florian Buettner | 2024/2/12 | |
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better | Junyi Zhu Zinan Lin Enshu Liu Xuefei Ning Matthew B Blaschko | 2024 | |
Biological Valuation Map of Flanders: A Sentinel-2 Imagery Analysis | arXiv preprint arXiv:2401.15223 | Mingshi Li Dusan Grujicic Steven De Saeger Stien Heremans Ben Somers | 2024/1/26 |
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better | arXiv preprint arXiv:2404.02241 | Enshu Liu Junyi Zhu Zinan Lin Xuefei Ning Matthew B Blaschko | 2024/4/2 |
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors | Teodora Popordanoska Sebastian Gregor Gruber Aleksei Tiulpin Florian Buettner Matthew B Blaschko | 2024/4/18 | |
The Common Stability Mechanism behind most Self-Supervised Learning Approaches | arXiv preprint arXiv:2402.14957 | Abhishek Jha Matthew B Blaschko Yuki M Asano Tinne Tuytelaars | 2024/2/22 |
Uncertainty Estimation in Machine Learning: Applications in Neural Network Compression and Calibration | Xingchen Ma Matthew Blaschko | 2023/2/21 | |
Confidence-aware personalized federated learning via variational expectation maximization | Junyi Zhu Xingchen Ma Matthew B Blaschko | 2023 | |
Surrogate model extension (SME): A fast and accurate weight update attack on federated learning | Junyi Zhu Ruicong Yao Matthew B Blaschko | 2023/5/31 | |
Understanding metric-related pitfalls in image analysis validation | Annika Reinke Minu D Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Nötzel | 2024/2/12 | |
The eye as a window to the brain: hyperspectral retinal imaging as a biomarker for Alzheimer’s disease | Alzheimer's & Dementia | Yasmin Dahdouh‐Guebas Hana Kulenovic Eirini Christinaki Jan Van Eijgen Sophie Lemmens | 2023/12 |
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels | Zifu Wang Matthew B Blaschko | 2023/2/11 | |
Deep learning for prediction of future endoscopic disease activity in Ulcerative Colitis | Student Thinkers and Advanced Research | Robert Stefan Oniga Matthew Blaschko Tom Eelbode Frederik Maes Raf Bisschops | 2023/11/8 |
Clinically-inspired multi-agent transformers for disease trajectory forecasting from multimodal data | IEEE transactions on medical imaging | Huy Hoang Nguyen Matthew B Blaschko Simo Saarakkala Aleksei Tiulpin | 2023/9/6 |
Mitigating bias in Bayesian optimized data while designing MacPherson suspension architecture | IEEE transactions on artificial intelligence | Sinnu Susan Thomas Guillaume Lamine Jacopo Palandri Mohsen Lakehal-ayat Punarjay Chakravarty | 2023/5/8 |
Utilizing Hyperspectral Retinal Imaging as a Novel Diagnostic Biomarker for Alzheimer's Disease | Hana Kulenovic Eirini Christinaki Jan Van Eijgen Sophie Lemmens Jenny Ceccarini | 2023/2/2 | |
A spatial extension to beta calibration for medical segmentation models | Axel-Jan Rousseau Thijs Becker Simon Appeltans Matthew Blaschko Dirk Valkenborg | 2023/4/20 |
Co-Authors
