Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. - Víctor M. Campello; Carlos Martín-Isla; Cristian Izquierdo; Steffen E. Petersen; Miguel Ángel González Ballester; Karim Lekadir (STACOM@MICCAI, 2019)

Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge. - Carlos Martín-Isla; Maryam Asadi-Aghbolaghi; Polyxeni Gkontra; Víctor M. Campello; Sergio Escalera; Karim Lekadir (MyoPS@MICCAI, 2020)

nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging. - Smriti Joshi; Richard Osuala; Carlos Martín-Isla; Víctor M. Campello; Carla Sendra-Balcells; Karim Lekadir; Sergio Escalera (BrainLes@MICCAI (2), 2021)

Style Curriculum Learning for Robust Medical Image Segmentation. - Zhendong Liu; Manh The Van; Xin Yang 009; Xiaoqiong Huang; Karim Lekadir; Víctor M. Campello; Nishant Ravikumar; Alejandro F. Frangi; Dong Ni 001 (MICCAI (1), 2021)

Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI. - Carla Sendra-Balcells; Víctor M. Campello; Carlos Martín-Isla; David Vilades Medel; Martín Luís Descalzo; Andrea Guala 002; José F. Rodríguez Palomares; Karim Lekadir (CoRR, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 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 for contrast-enhanced imaging. - Carla Sendra-Balcells; Víctor M. Campello; Carlos Martín-Isla; David Viladés; Martín Luís Descalzo; Andrea Guala 002; José F. Rodríguez Palomares; Karim Lekadir (Comput. Biol. Medicine, 2022)

Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. - Carla Sendra-Balcells; Víctor M. Campello; Jordina Torrents-Barrena; Yahya Ali Ahmed; Mustafa A. Elattar; Benard Ohene Botwe; Pempho Nyangulu; William Stones; Mohammed Ammar; Lamya Nawal Benamer; Harriet Nalubega Kisembo; Senai Goitom Sereke; et al. (CoRR, 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

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)

Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning. - Jianmei Jiang; Huijin Wang; Jieyun Bai; Shun Long; Shuangping Chen; Víctor M. Campello; Karim Lekadir (MICCAI (1), 2024)

SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging. - Ajibola Oladokun; Bessie Malila; Víctor M. Campello; Muki Shey; Tinashe E. M. Mutsvangwa (MICCAI (3), 2024)

Democratizing AI in Africa: FL for Low-Resource Edge Devices. - Jorge Fabila; Víctor M. Campello; Carlos Martín-Isla; Johnes Obungoloch; Kinyera Leo; Amodoi Ronald; Karim Lekadir (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)

Generalizability in multi-centre cardiac image analysis with machine learning - Víctor M. Campello (2024)

Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network. - Zhensen Chen; Yaosheng Lu; Shun Long; Víctor M. Campello; Jieyun Bai; Karim Lekadir (IEEE J. Biomed. Health Informatics, 2024)

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. - Amelia Jiménez-Sánchez; Natalia Rozalia Avlona; Sarah de Boer; Víctor M. Campello; Aasa Feragen; Enzo Ferrante; Melanie Ganz; Judy Wawira Gichoya; Camila González; Steff Groefsema; Alessa Hering; Adam Hulman; et al. (FAccT, 2025)

Segment Anything Model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis. - Zihao Zhou; Yaosheng Lu; Jieyun Bai; Víctor M. Campello; Fan Feng; Karim Lekadir (Expert Syst. Appl., 2025)

PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. - Jieyun Bai; Zihao Zhou; Zhanhong Ou; Gregor Köhler; Raphael Stock; Klaus H. Maier-Hein; Marawan Elbatel; Robert Martí; Xiaomeng Li 001; Yaoyang Qiu; Panjie Gou; Gongping Chen; et al. (Medical Image Anal., 2025)

Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353]. - Jieyun Bai; Zihao Zhou; Zhanhong Ou; Gregor Köhler; Raphael Stock; Klaus H. Maier-Hein; Marawan Elbatel; Robert Martí; Xiaomeng Li 001; Yaoyang Qiu; Panjie Gou; Gongping Chen; et al. (Medical Image Anal., 2025)

ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries. - M. Sofia Sappia; Chris L. de Korte; Bram van Ginneken; Dean Ninalga; Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa; Tanya Akumu; Carlos Martín-Isla; Karim Lekadir; Víctor M. Campello; Jorge Fabila; et al. (Medical Image Anal., 2025)

Federated learning in low-resource settings: A chest imaging study in Africa - Challenges and lessons learned. - Jorge Fabila; Lidia Garrucho; Víctor M. Campello; Carlos Martín-Isla; Karim Lekadir (CoRR, 2025)

Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in Healthcare. - Vien Ngoc Dang; Víctor M. Campello; Jerónimo Hernández-González; Karim Lekadir (J. Heal. Informatics Res., 2025)

Uncertainty-fetal head and pubic symphysis segmentation with enhanced multi-scale features and sparse visual graph attention. - Zhensen Chen; Zhanhong Ou; Yaosheng Lu; Víctor M. Campello; Jieyun Bai; Karim Lekadir (Expert Syst. Appl., 2026)