Akis Linardos

12 papers A* 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis.
CoRR
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, Anton Schmick, Sarthak Pati, Akis Linardos, Carla Pitarch, Sanyukta Adap, Jeffrey D. Rudie, Maria Correia de Verdier, Rachit Saluja, Evan Calabrese, Dominic LaBella, Mariam Aboian, Ahmed W. Moawad, Nazanin Maleki, Udunna Anazodo, Maruf Adewole, Marius George Linguraru, Anahita Fathi Kazerooni, Zhifan Jiang, Gian Marco Conte, Hongwei Li, Juan Eugenio Iglesias, Spyridon Bakas, Benedikt Wiestler, Marie Piraud, Bjoern H. Menze
2025 J jnl
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis.
CoRR
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, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf A. Heckemann, Spyridon Bakas, Jan Kirschke, Constantin von See, Ivan Ezhov, Marie Piraud, Benedikt Wiestler, Bjoern H. Menze
2025 — conf
My Model Is Better Than Yours! Statistically-Aware Ranking for Fair Benchmarking of AI Models.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Spyridon Bakas, Siddhesh P. Thakur, Ujjwal Baid, Akis Linardos, Sarthak Pati, Jimit Doshi, Russell T. Shinohara
2025 J jnl
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning.
CoRR
Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhammad Irfan Khan, Mojtaba Jafaritadi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold, Gustav Grimberg, Manuel Nickel, David Naccache, Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, Daewoon Kim, Leonard L. Klausmann, Prashant Shah, Bjoern H. Menze, Dimitrios Makris, Spyridon Bakas
2023 J jnl
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging.
Medical Image Anal.
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir
2022 — conf
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation.
MICCAI (8)
Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir
2022 J jnl
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation.
CoRR
Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir
2021 J jnl
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.
CoRR
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir
2021 J jnl
Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling.
CoRR
Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
2021 — conf
Center Dropout: A Simple Method for Speed and Fairness in Federated Learning.
BrainLes@MICCAI (2)
Akis Linardos, Kaisar Kushibar, Karim Lekadir
2021 A* conf
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling.
ICCV
Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
2021 J jnl
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease.
CoRR
Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir