Akis Linardos

According to our database, Akis Linardos authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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, Ben Glocker, Oliver Díaz, Karim Lekadir

Medical Image Anal., 2023

2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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, Ben Glocker, Oliver Díaz, Karim Lekadir

CoRR, 2021

Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease.

Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir

CoRR, 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

DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling.

Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Center Dropout: A Simple Method for Speed and Fairness in Federated Learning.

Akis Linardos, Kaisar Kushibar, Karim Lekadir

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021