Akis Linardos

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Unsupervised Feature Learning

Prediction Accuracy

Top Venues

BrainLes@MICCAI (2)

Publications

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 (2023)
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)
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 (2022)
Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. CoRR (2021)
Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR (2021)
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)
Akis Linardos, Kaisar Kushibar, Karim Lekadir
Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. BrainLes@MICCAI (2) (2021)
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 (2021)