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Akis Linardos
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2020 – today
- 2023
- [j1]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Anal. 84: 102704 (2023) - 2022
- [c3]Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) 2022: 514-524 - [i4]Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR abs/2203.08878 (2022) - 2021
- [c2]Akis Linardos, Kaisar Kushibar, Karim Lekadir:
Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. BrainLes@MICCAI (2) 2021: 481-493 - [c1]Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge:
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. ICCV 2021: 12899-12908 - [i3]Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge:
Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. CoRR abs/2105.12441 (2021) - [i2]Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir:
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR abs/2107.03901 (2021) - [i1]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR abs/2107.09543 (2021)
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