Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation VN Dang, F Galati, R Cortese, G Di Giacomo, V Marconetto, P Mathur, ... Medical Image Analysis 75, 102263, 2022 | 25 | 2022 |
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&ms Challenge C Martín-Isla, VM Campello, C Izquierdo, K Kushibar, C Sendra-Balcells, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 18 | 2023 |
From Accuracy to Reliability and Robustness in Cardiac Magnetic Resonance Image Segmentation: A Review F Galati, S Ourselin, MA Zuluaga Applied Sciences 12 (8), 3936, 2022 | 14 | 2022 |
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation F Galati, MA Zuluaga International Conference on Functional Imaging and Modeling of the Heart …, 2021 | 11 | 2021 |
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters P Riccio, B Psomas, F Galati, F Escolano, T Hofmann, NM Oliver | 7 | 2022 |
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA K Yang, F Musio, Y Ma, N Juchler, JC Paetzold, R Al-Maskari, L Höher, ... arXiv preprint arXiv:2312.17670, 2023 | 4 | 2023 |
Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation F Galati, MA Zuluaga International Workshop on Statistical Atlases and Computational Models of …, 2021 | 3 | 2021 |
Translating Emotions from EEG to Visual Arts P Riccio, F Galati, MA Zuluaga, JC De Martin, S Nichele International Conference on Computational Intelligence in Music, Sound, Art …, 2022 | 2 | 2022 |
A2V: A semi-supervised domain adaptation framework for brain vessel segmentation via two-phase training angiography-to-venography translation F Galati, D Falcetta, R Cortese, B Casolla, F Prados, N Burgos, ... arXiv preprint arXiv:2309.06075, 2023 | 1 | 2023 |
Cardiac Image Segmentation: towards better reliability and generalization. F Galati Politecnico di Torino, 2021 | 1 | 2021 |
Binary domain generalization for sparsifying binary neural networks R Schiavone, F Galati, MA Zuluaga arXiv preprint arXiv:2306.13515, 2023 | | 2023 |