| Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools O Diaz, K Kushibar, R Osuala, A Linardos, L Garrucho, L Igual, P Radeva, ... Physica Medica 83, 25-37, 2021 | 190 | 2021 |
| DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling A Linardos, M Kümmerer, O Press, M Bethge ICCV 2021, 2021 | 136 | 2021 |
| Federated Learning for Multi-Center Imaging Diagnostics: A Simulation Study in Cardiovascular Disease A Linardos, K Kushibar, S Walsh, P Gkontra, K Lekadir Scientific Reports, 2021 | 128 | 2021 |
| Simple vs complex temporal recurrences for video saliency prediction P Linardos, E Mohedano, JJ Nieto, NE O'Connor, X Giro-i-Nieto, ... British Machine Vision Conference (BMVC) 2019, 2019 | 126 | 2019 |
| Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging R Osuala, K Kushibar, L Garrucho, A Linardos, Z Szafranowska, S Klein, ... Medical Image Analysis 84, 102704, 2023 | 110* | 2023 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 48 | 2022 |
| Layer ensembles: A single-pass uncertainty estimation in deep learning for segmentation K Kushibar, V Campello, L Garrucho, A Linardos, P Radeva, K Lekadir International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 30 | 2022 |
| Center dropout: A simple method for speed and fairness in federated learning A Linardos, K Kushibar, K Lekadir International MICCAI Brainlesion Workshop, 481-493, 2021 | 6 | 2021 |
| BraTS orchestrator: Democratizing and Disseminating state-of-the-art brain tumor image analysis F Kofler, M Rosier, M Astaraki, U Baid, H Möller, JA Buchner, F Steinbauer, ... arXiv preprint arXiv:2506.13807, 2025 | 5 | 2025 |
| Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge M Zenk, U Baid, S Pati, A Linardos, B Edwards, M Sheller, P Foley, ... Nature communications 16 (1), 6274, 2025 | 4 | 2025 |
| MediaEval 2019: Concealed FGSM perturbations for privacy preservation P Linardos, S Little, K McGuinness MediaEval Workshop 2019, 2019 | 3 | 2019 |
| The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods A Linardos, S Pati, U Baid, B Edwards, P Foley, K Ta, V Chung, M Sheller, ... Machine Learning for Biomedical Imaging 3 (December 2025 issue), 757-774, 2025 | 1* | 2025 |
| BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis F Kofler, M Rosier, M Astaraki, H Möller, II Mekki, JA Buchner, A Schmick, ... arXiv preprint arXiv:2507.09036, 2025 | 1 | 2025 |
| Consentful-by-design: a perspective on safeguarding data ownership from generative AI leveraging lessons from the healthcare domain A Linardos, T Willem, A Buyx, S Hossain, T Jung, D Makris, S Bakas AI & SOCIETY, 1-13, 2026 | | 2026 |
| IMG-121. BraTS-Pathology 2024: Insights and Future Directions Informed by the AI-RANO & RANO-RGP Effort to Assess Glioblastoma Heterogeneity S Thakur, S Malec, C Pitarc, A Linardos, S Innani, S Adap, S Faghani, ... Neuro-Oncology 27 (Supplement_5), v303-v304, 2025 | | 2025 |
| Galileo Galilei Award KL Oliver Diaz, Kaisar Kushibar, Richard Osuala, Akis Linardos, Lidia ... Physica Medica 98, 80, 2022 | | 2022 |
| New enhancements to the DeepGaze models for a better understanding of human scanpaths M Kümmerer, A Linardos, M Bethge Journal of Vision 21 (9), 2568-2568, 2021 | | 2021 |
| FeTS-AI/Challenge: Creating a new release after incorporating all analysis code M Zenk, S Pati, P Foley, U Baid, S Bakas, A Linardos, K Ta, S Thakur Zenodo, 0 | | |
Kaisar KushibarUniversity of BarcelonaVerified email at ub.edu
