Publications

@article{garrucho2026mama,
  title={The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction},
  author={Garrucho, Lidia and Joshi, Smriti and Kushibar, Kaisar and Osuala, Richard and Bobowicz, Maciej and Bargalló, Xavier and Jaruševičius, Paulius and Geissler, Kai and Schäfer, Raphael and Alberb, Muhammad and others},
  journal={arXiv preprint arXiv:2603.01250},
  year={2026}
}

@article{konz2026frechet,
  title={Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets},
  author={Konz, Nicholas and Osuala, Richard and Verma, Preeti and Chen, Yuwen and Gu, Hanxue and Dong, Haoyu and Chen, Yaqian and Marshall, Andrew and Garrucho, Lidia and Kushibar, Kaisar and others},
  journal={Medical Image Analysis},
  pages={103943},
  year={2026}
}

@article{lekadir2025future,
  title={FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare},
  author={Lekadir, Karim and Frangi, Alejandro F and Porras, Antonio R and Glocker, Ben and Cintas, Celia and Langlotz, Curtis P and Weicken, Eva and Asselbergs, Folkert W and Prior, Fred and Collins, Gary S and others},
  journal={bmj},
  volume={388},
  year={2025}
}

@article{skorupko2025federated,
  title={Federated nnU-Net for privacy-preserving medical image segmentation},
  author={Skorupko, Grzegorz and Avgoustidis, Fotios and Mart\'\in-Isla, Carlos and Garrucho, Lidia and Kessler, Dimitri A and Pujadas, Esmeralda Ruiz and D\'\iaz, Oliver and Bobowicz, Maciej and Gwo\'zdziewicz, Katarzyna and Bargall\'o, Xavier and others},
  journal={Scientific Reports},
  volume={15},
  pages={38312},
  year={2025}
}

@article{garrucho2025large,
  title={A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations},
  author={Garrucho, Lidia and Kushibar, Kaisar and Reidel, Claire-Anne and Joshi, Smriti and Osuala, Richard and Tsirikoglou, Apostolia and Bobowicz, Maciej and Del Riego, Javier and Catanese, Alessandro and Gwo\'zdziewicz, Katarzyna and others},
  journal={Scientific data},
  volume={12},
  pages={453},
  year={2025}
}

@article{riera2025calibration,
  title={Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results},
  author={Riera-Mar\'\in, Meritxell and Sikha, OK and Rodr\'\iguez-Comas, J\'ulia and May, Matthias Stefan and Pan, Zhaohong and Zhou, Xiang and Liang, Xiaokun and Erick, Franciskus Xaverius and Prenner, Andrea and H\'emon, C\'edric and others},
  journal={Computers in Biology and Medicine},
  volume={197},
  pages={111024},
  year={2025}
}

@inproceedings{joshi2025single,
  title={Single Image Test-Time Adaptation via Multi-View Co-Training},
  author={Joshi, Smriti and Osuala, Richard and Garrucho, Lidia and Kushibar, Kaisar and Kessler, Dimitri and Diaz, Oliver and Lekadir, Karim},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={617--627},
  year={2025}
}

@article{zenk2025towards,
  title={Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge},
  author={Zenk, Maximilian and Baid, Ujjwal and Pati, Sarthak and Linardos, Akis and Edwards, Brandon and Sheller, Micah and Foley, Patrick and Aristizabal, Alejandro and Zimmerer, David and Gruzdev, Alexey and others},
  journal={Nature communications},
  volume={16},
  pages={6274},
  year={2025}
}

@inproceedings{baldini2025clinically,
  title={Clinically-guided data synthesis for laryngeal lesion detection},
  author={Baldini, Chiara and Kushibar, Kaisar and Osuala, Richard and Balocco, Simone and Diaz, Oliver and Lekadir, Karim and Mattos, Leonardo S},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={54--63},
  year={2025}
}

@inproceedings{skorupko2025fairness,
  title={Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models},
  author={Skorupko, Grzegorz and Osuala, Richard and Szafranowska, Zuzanna and Kushibar, Kaisar and Dang, Vien Ngoc and Aung, Nay and Petersen, Steffen E and Lekadir, Karim and Gkontra, Polyxeni},
  booktitle={MICCAI Workshop on Fairness of AI in Medical Imaging},
  pages={63--73},
  year={2025}
}

@article{kondylakis2025review,
  title={A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines},
  author={Kondylakis, Haridimos and Osuala, Richard and Puig-Bosch, X\'enia and Lazrak, Noussair and Diaz, Oliver and Kushibar, Kaisar and Chouvarda, Ioanna and Charalambous, Stefanie and Starmans, Martijn PA and Colantonio, Sara and others},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2025}
}

@article{martin2025fedder,
  title={Fedder, federated learning orientada a l’\`ambit sanitari},
  author={Mart\'\in Isla, Carlos and Kushibar, Kaisar and Lekadir, Karim},
  year={2025}
}

@inproceedings{osuala2024towards,
  title={Towards learning contrast kinetics with multi-condition latent diffusion models},
  author={Osuala, Richard and Lang, Daniel M and Verma, Preeti and Joshi, Smriti and Tsirikoglou, Apostolia and Skorupko, Grzegorz and Kushibar, Kaisar and Garrucho, Lidia and Pinaya, Walter HL and Diaz, Oliver and others},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={713--723},
  year={2024}
}

@article{skorupko2024debiasing,
  title={Debiasing cardiac imaging with controlled latent diffusion models},
  author={Skorupko, Grzegorz and Osuala, Richard and Szafranowska, Zuzanna and Kushibar, Kaisar and Aung, Nay and E Petersen, Steffen and Lekadir, Karim and Gkontra, Polyxeni},
  journal={arXiv e-prints},
  pages={arXiv--2403},
  year={2024}
}

@inproceedings{joshi2024leveraging,
  title={Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis},
  author={Joshi, Smriti and Osuala, Richard and Garrucho, Lidia and Tsirikoglou, Apostolia and del Riego, Javier and Gwo\'zdziewicz, Katarzyna and Kushibar, Kaisar and Diaz, Oliver and Lekadir, Karim},
  booktitle={Medical Imaging 2024: Image Processing},
  volume={12926},
  pages={292--300},
  year={2024}
}

@article{ma2024efficient,
  title={Efficient medsams: Segment anything in medical images on laptop},
  author={Ma, Jun and Li, Feifei and Kim, Sumin and Asakereh, Reza and Le, Bao-Hiep and Nguyen-Vu, Dang-Khoa and Pfefferle, Alexander and Wei, Muxin and Gao, Ruochen and Lyu, Donghang and others},
  journal={arXiv preprint arXiv:2412.16085},
  year={2024}
}

@inproceedings{garrucho2024fat,
  title={Fat-suppressed breast MRI synthesis for domain adaptation in tumour segmentation},
  author={Garrucho, Lidia and Delegue, Eve and Osuala, Richard and Kessler, Dimitri and Kushibar, Kaisar and D\'\iaz, Oliver and Lekadir, Karim and Igual, Laura},
  booktitle={Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care},
  pages={202--211},
  year={2024}
}

@article{garrucho2023high,
  title={High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection},
  author={Garrucho, Lidia and Kushibar, Kaisar and Osuala, Richard and Diaz, Oliver and Catanese, Alessandro and Del Riego, Javier and Bobowicz, Maciej and Strand, Fredrik and Igual, Laura and Lekadir, Karim},
  journal={Frontiers in oncology},
  volume={12},
  pages={1044496},
  year={2023}
}

@article{osuala2023medigan,
  title={medigan: a Python library of pretrained generative models for medical image synthesis},
  author={Osuala, Richard and Skorupko, Grzegorz and Lazrak, Noussair and Garrucho, Lidia and Garc\'\ia, Eloy and Joshi, Smriti and Jouide, Socayna and Rutherford, Michael and Prior, Fred and Kushibar, Kaisar and others},
  journal={Journal of Medical Imaging},
  volume={10},
  pages={061403--061403},
  year={2023}
}

@article{osuala2023data,
  title={Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging},
  author={Osuala, Richard and Kushibar, Kaisar and Garrucho, Lidia and Linardos, Akis and Szafranowska, Zuzanna and Klein, Stefan and Glocker, Ben and Diaz, Oliver and Lekadir, Karim},
  journal={Medical Image Analysis},
  volume={84},
  pages={102704},
  year={2023}
}

@article{martin2023deep,
  title={Deep learning segmentation of the right ventricle in cardiac MRI: the M&Ms challenge},
  author={Mart\'\in-Isla, Carlos and Campello, V\'\ictor M and Izquierdo, Cristian and Kushibar, Kaisar and Sendra-Balcells, Carla and Gkontra, Polyxeni and Sojoudi, Alireza and Fulton, Mitchell J and Arega, Tewodros Weldebirhan and Punithakumar, Kumaradevan and others},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={27},
  pages={3302--3313},
  year={2023}
}

@inproceedings{kalb2023revisiting,
  title={Revisiting skin tone fairness in dermatological lesion classification},
  author={Kalb, Thorsten and Kushibar, Kaisar and Cintas, Celia and Lekadir, Karim and Diaz, Oliver and Osuala, Richard},
  booktitle={Workshop on Clinical Image-Based Procedures},
  pages={246--255},
  year={2023}
}

@incollection{bernal2022deep,
  title={Deep learning for medical imaging},
  author={Bernal, Jose and Kushibar, Kaisar and Cl\`erigues, Albert and Oliver, Arnau and Llad\'o, Xavier},
  booktitle={Deep Learning in Biology and Medicine},
  pages={11--54},
  year={2022}
}

@article{linardos2022federated,
  title={Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease},
  author={Linardos, Akis and Kushibar, Kaisar and Walsh, Sean and Gkontra, Polyxeni and Lekadir, Karim},
  journal={Scientific Reports},
  volume={12},
  pages={3551},
  year={2022}
}

@inproceedings{szafranowska2022sharing,
  title={Sharing generative models instead of private data: a simulation study on mammography patch classification},
  author={Szafranowska, Zuzanna and Osuala, Richard and Breier, Bennet and Kushibar, Kaisar and Lekadir, Karim and Diaz, Oliver},
  booktitle={16th international workshop on breast imaging (IWBI2022)},
  volume={12286},
  pages={169--177},
  year={2022}
}

@inproceedings{kushibar2022layer,
  title={Layer ensembles: A single-pass uncertainty estimation in deep learning for segmentation},
  author={Kushibar, Kaisar and Campello, Victor and Garrucho, Lidia and Linardos, Akis and Radeva, Petia and Lekadir, Karim},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={514--524},
  year={2022}
}

@article{kushibarcancer,
  title={Cancer radiomics extraction and selection pipeline},
  author={Kushibar, Kaisar and Jouide, Socayna},
  year={2022}
}

@article{garrucho2022domain,
  title={Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study},
  author={Garrucho, Lidia and Kushibar, Kaisar and Jouide, Socayna and Diaz, Oliver and Igual, Laura and Lekadir, Karim},
  journal={Artificial Intelligence in Medicine},
  volume={132},
  year={2022}
}

@article{kushibar2022methods,
  title={Methods to assess errors and procedures to address uncertainty},
  author={Kushibar, Kaisar and Salahuddin, Zohaib},
  year={2022}
}

@article{bernal2021generating,
  title={Generating longitudinal atrophy evaluation datasets on brain magnetic resonance images using convolutional neural networks and segmentation priors},
  author={Bernal, Jose and Valverde, Sergi and Kushibar, Kaisar and Cabezas, Mariano and Oliver, Arnau and Llado, Xavier and Alzheimer’s Disease Neuroimaging Initiative},
  journal={Neuroinformatics},
  volume={19},
  pages={477--492},
  year={2021}
}

@article{diaz2021data,
  title={Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools},
  author={Diaz, Oliver and Kushibar, Kaisar and Osuala, Richard and Linardos, Akis and Garrucho, Lidia and Igual, Laura and Radeva, Petia and Prior, Fred and Gkontra, Polyxeni and Lekadir, Karim},
  journal={Physica medica},
  volume={83},
  pages={25--37},
  year={2021}
}

@article{kushibar2021transductive,
  title={Transductive transfer learning for domain adaptation in brain magnetic resonance image segmentation},
  author={Kushibar, Kaisar and Salem, Mostafa and Valverde, Sergi and Rovira, \`Alex and Salvi, Joaquim and Oliver, Arnau and Llad\'o, Xavier},
  journal={Frontiers in Neuroscience},
  volume={15},
  pages={608808},
  year={2021}
}

@inproceedings{linardos2021center,
  title={Center dropout: A simple method for speed and fairness in federated learning},
  author={Linardos, Akis and Kushibar, Kaisar and Lekadir, Karim},
  booktitle={International MICCAI Brainlesion Workshop},
  pages={481--493},
  year={2021}
}

@article{rakic2020improving,
  title={Improving the detection of autism spectrum disorder by combining structural and functional MRI information},
  author={Raki\'c, Mladen and Cabezas, Mariano and Kushibar, Kaisar and Oliver, Arnau and Llado, Xavier},
  journal={NeuroImage: Clinical},
  volume={25},
  pages={102181},
  year={2020}
}

@article{kushibar2020automatic,
  title={Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques},
  author={Kushibar, Kaisar and others},
  year={2020}
}

@article{bernal2019deep,
  title={Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review},
  author={Bernal, Jose and Kushibar, Kaisar and Asfaw, Daniel S and Valverde, Sergi and Oliver, Arnau and Mart\'\i, Robert and Llad\'o, Xavier},
  journal={Artificial intelligence in medicine},
  volume={95},
  pages={64--81},
  year={2019}
}

@article{bernal2019quantitative,
  title={Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging},
  author={Bernal, Jose and Kushibar, Kaisar and Cabezas, Mariano and Valverde, Sergi and Oliver, Arnau and Llad\'o, Xavier},
  journal={IEEE Access},
  volume={7},
  pages={89986--90002},
  year={2019}
}

@article{ardon2019hybrid,
  title={A hybrid slam and object recognition system for pepper robot},
  author={Ard\'on, Paola and Kushibar, Kaisar and Peng, Songyou},
  journal={arXiv preprint arXiv:1903.00675},
  year={2019}
}

@article{kushibar2019supervised,
  title={Supervised domain adaptation for automatic sub-cortical brain structure segmentation with minimal user interaction},
  author={Kushibar, Kaisar and Valverde, Sergi and Gonzalez-Villa, Sandra and Bernal, Jose and Cabezas, Mariano and Oliver, Arnau and Llado, Xavier},
  journal={Scientific reports},
  volume={9},
  pages={6742},
  year={2019}
}

@article{bernalquantitative,
  title={Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging},
  author={Bernal Moyano, Jose and Kushibar, Kaisar and Cabezas Grebol, Mariano and Valverde Valverde, Sergi and Oliver i Malagelada, Arnau and Llad\'o Bardera, Xavier and others},
  year={2019}
}

@article{kushibar2018automated,
  title={Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features},
  author={Kushibar, Kaisar and Valverde, Sergi and Gonzalez-Villa, Sandra and Bernal, Jose and Cabezas, Mariano and Oliver, Arnau and Llado, Xavier},
  journal={Medical image analysis},
  volume={48},
  pages={177--186},
  year={2018}
}

@inproceedings{clerigues2018ensemble,
  title={Ensemble of convolutional neural networks for acute stroke anatomy differentiation},
  author={Cl\`erigues, Albert and Valverde, Sergi and Bernal, Jose and Kushibar, Kaisar and Cabezas, Mariano and Oliver, Arnau and Llad\'o, Xavier},
  booktitle={International MICCAI Brainlesion Workshop},
  year={2018}
}

@article{cabezas2018survival,
  title={Survival prediction using ensemble tumor segmentation and transfer learning},
  author={Cabezas, Mariano and Valverde, Sergi and Gonz\'alez-Vill\`a, Sandra and Cl\'erigues, Albert and Salem, Mostafa and Kushibar, Kaisar and Bernal, Jose and Oliver, Arnau and Llad\'o, Xavier},
  journal={arXiv preprint arXiv:1810.04274},
  year={2018}
}

@article{bernal2018mr,
  title={MR brain segmentation using an ensemble of multi-path u-shaped convolutional neural networks and tissue segmentation priors},
  author={Bernal, Jose and Salem, Mostafa and Kushibar, K and Cl\`erigues, A and Valverde, S and Cabezas, M and Gonz\'ales-Villa, S and Salvi, JW and Oliver, A and Llad\'o, X},
  journal={Accessed: Feb},
  volume={20},
  pages={2019},
  year={2018}
}

@article{bakas2018identifying,
  title={Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge},
  author={Bakas, Spyridon and Reyes, Mauricio and Jakab, Andras and Bauer, Stefan and Rempfler, Markus and Crimi, Alessandro and Shinohara, Russell Takeshi and Berger, Christoph and Ha, Sung Min and Rozycki, Martin and others},
  journal={arXiv preprint arXiv:1811.02629},
  year={2018}
}

@article{omarov2016face,
  title={Face recognition using artificial neural networks in parallel architecture},
  author={Omarov, Batyrkhan and Suliman, Azizah and Kushibar, Kaisar},
  year={2016}
}