Survival prediction using ensemble tumor segmentation and transfer learning. - Mariano Cabezas; Sergi Valverde; Sandra González-Villà; Albert Clérigues; Mostafa Salem; Kaisar Kushibar; José Bernal; Arnau Oliver; Xavier Lladó (CoRR, 2018)

Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. - Kaisar Kushibar; Sergi Valverde; Sandra González-Villà; José Bernal; Mariano Cabezas; Arnau Oliver; Xavier Lladó (Medical Image Anal., 2018)

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging. - José Bernal; Kaisar Kushibar; Mariano Cabezas; Sergi Valverde; Arnau Oliver; Xavier Lladó (IEEE Access, 2019)

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. - José Bernal; Kaisar Kushibar; Daniel S. Asfaw; Sergi Valverde; Arnau Oliver; Robert Martí; Xavier Lladó (Artif. Intell. Medicine, 2019)

A Hybrid SLAM and Object Recognition System for Pepper Robot. - Paola Ardón; Kaisar Kushibar; Songyou Peng (CoRR, 2019)

Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques. - Kaisar Kushibar (2020)

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

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. - Karim Lekadir; Richard Osuala; Catherine Gallin; Noussair Lazrak; Kaisar Kushibar; Gianna Tsakou; Susanna Aussó; Leonor Cerdá Alberich; Konstantinos Marias; Manolis Tsiknakis; Sara Colantonio; Nickolas Papanikolaou 003; et al. (CoRR, 2021)

Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. - José Bernal; Sergi Valverde; Kaisar Kushibar; Mariano Cabezas; Arnau Oliver; Xavier Lladó (Neuroinformatics, 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)

Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. - Lidia Garrucho; Kaisar Kushibar; Socayna Jouide; Oliver Díaz; Laura Igual; Karim Lekadir (Artif. Intell. Medicine, 2022)

Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. - Zuzanna Szafranowska; Richard Osuala; Bennet Breier; Kaisar Kushibar; Karim Lekadir; Oliver Díaz (CoRR, 2022)

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. - Lidia Garrucho; Kaisar Kushibar; Richard Osuala; Oliver Díaz; Alessandro Catanese; Javier del Riego; Maciej Bobowicz; Fredrik Strand; Laura Igual; Karim Lekadir (CoRR, 2022)

medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. - Richard Osuala; Grzegorz Skorupko; Noussair Lazrak; Lidia Garrucho; Eloy García 001; Smriti Joshi; Socayna Jouide; Michael W. Rutherford; Fred W. Prior; Kaisar Kushibar; Oliver Díaz; Karim Lekadir (CoRR, 2022)

Revisiting Skin Tone Fairness in Dermatological Lesion Classification. - Thorsten Kalb; Kaisar Kushibar; Celia Cintas; Karim Lekadir; Oliver Díaz; Richard Osuala (CLIP/FAIMI/EPIMI@MICCAI, 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 001; Ben Glocker; Oliver Díaz; Karim Lekadir (Medical Image Anal., 2023)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation. - Lidia Garrucho; Eve Delegue; Richard Osuala; Dimitri A. Kessler; Kaisar Kushibar; Oliver Díaz; Karim Lekadir; Laura Igual (Deep-Breath@MICCAI, 2024)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. - Richard Osuala; Daniel M. Lang 003; Preeti Verma; Smriti Joshi; Apostolia Tsirikoglou; Grzegorz Skorupko; Kaisar Kushibar; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (MICCAI (5), 2024)

Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. - Grzegorz Skorupko; Richard Osuala; Zuzanna Szafranowska; Kaisar Kushibar; Nay Aung; Steffen E. Petersen; Karim Lekadir; Polyxeni Gkontra (CoRR, 2024)

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. - Lidia Garrucho; Claire-Anne Reidel; Kaisar Kushibar; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwozdziewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; et al. (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Federated nnU-Net for Privacy-Preserving Medical Image Segmentation. - Grzegorz Skorupko; Fotios Avgoustidis; Carlos Martín-Isla; Lidia Garrucho; Dimitri A. Kessler; Esmeralda Ruiz Pujadas; Oliver Díaz; Maciej Bobowicz; Katarzyna Gwozdziewicz; Xavier Bargalló; Paulius Jarusevicius; Kaisar Kushibar; et al. (CoRR, 2025)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)

Single Image Test-Time Adaptation via Multi-View Co-Training. - Smriti Joshi; Richard Osuala; Lidia Garrucho; Kaisar Kushibar; Dimitri A. Kessler; Oliver Díaz; Karim Lekadir (CoRR, 2025)