Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. - Akis Linardos; Kaisar Kushibar; Karim Lekadir (BrainLes@MICCAI (2), 2021)

DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. - Akis Linardos; Matthias Kümmerer; Ori Press; Matthias Bethge (ICCV, 2021)

Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. - Akis Linardos; Matthias Kümmerer; Ori Press; Matthias Bethge (CoRR, 2021)

Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. - Akis Linardos; Kaisar Kushibar; Sean Walsh 005; Polyxeni Gkontra; Karim Lekadir (CoRR, 2021)

A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (CoRR, 2021)

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. - Kaisar Kushibar; Víctor M. Campello; Lidia Garrucho; Akis Linardos; Petia Radeva; Karim Lekadir (MICCAI (8), 2022)

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (Medical Image Anal., 2023)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Hendrik Kristian Möller; Isra Mekki; Josef A. Buchner; Anton Schmick; Arianna Pfiffer; Eva Oswald; Lucas Zimmer; Ezequiel de la Rosa; Sarthak Pati; et al. (CoRR, 2025)