Tissue Characterization Using Dimensionality Reduction and Fluorescence Imaging. - Karim Lekadir; Daniel S. Elson; Jose Requejo-Isidro; Christopher Dunsby; James McGinty; Neil Galletly; Gordon Stamp; Paul M. W. French; Guang-Zhong Yang (MICCAI (2), 2006)

Carotid Artery Segmentation Using an Outlier Immune 3D Active Shape Models Framework. - Karim Lekadir; Guang-Zhong Yang (MICCAI (1), 2006)

Shape-Based Myocardial Contractility Analysis Using Multivariate Outlier Detection. - Karim Lekadir; Niall Keenan; Dudley Pennell; Guang-Zhong Yang (MICCAI (2), 2007)

Outlier Detection and Handling for Robust 3-D Active Shape Models Search. - Karim Lekadir; Robert D. Merrifield; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2007)

Optimal Feature Point Selection and Automatic Initialization in Active Shape Model Search. - Karim Lekadir; Guang-Zhong Yang (MICCAI (1), 2008)

Subject Specific Shape Modeling with Incremental Mixture Models. - Lichao Wang; Karim Lekadir; Ismail El-Hamamsy; Magdi Yacoub; Guang-Zhong Yang (MIAR, 2010)

Predictive Modeling of Cardiac Fiber Orientation Using the Knutsson Mapping. - Karim Lekadir; Babak Ghafaryasl; Emma Muñoz-Moreno; Constantine Butakoff; Corné Hoogendoorn; Alejandro F. Frangi (MICCAI (2), 2011)

An Inter-Landmark Approach to 4-D Shape Extraction and Interpretation: Application to Myocardial Motion Assessment in MRI. - Karim Lekadir; Niall Keenan; Dudley Pennell; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2011)

Conical deformable model for myocardial segmentation in late-enhanced MRI. - Xènia Albà; Rosa M. Figueras i Ventura; Karim Lekadir; Alejandro F. Frangi (ISBI, 2012)

Healthy and Scar Myocardial Tissue Classification in DE-MRI. - Xènia Albà; Rosa M. Figueras i Ventura; Karim Lekadir; Alejandro F. Frangi (STACOM, 2012)

Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes. - Karim Lekadir; Alejandro F. Frangi; Guang-Zhong Yang (MICCAI (3), 2012)

Personalized Modeling of Cardiac Electrophysiology Using Shape-Based Prediction of Fiber Orientation. - Karim Lekadir; Ali Pashaei; Corné Hoogendoorn; Marco Pereañez; Xènia Albà; Alejandro F. Frangi (STACOM, 2013)

Fusing Correspondenceless 3D Point Distribution Models. - Marco Pereañez; Karim Lekadir; Constantine Butakoff; Corné Hoogendoorn; Alejandro F. Frangi (MICCAI (1), 2013)

Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations. - Veronika A. M. Zimmer; Roger Fonolla; Karim Lekadir; Gemma Piella; Corné Hoogendoorn; Alejandro F. Frangi (MLMI, 2013)

Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes. - Stéphanie Marchesseau; Hervé Delingette; Maxime Sermesant; Rocío Cabrera Lozoya; Catalina Tobon-Gomez; Philippe Moireau; Rosa M. Figueras i Ventura; Karim Lekadir; Alfredo Hernández 001; Mireille Garreau; Erwan Donal; Christophe Leclercq; et al. (Medical Image Anal., 2013)

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT. - Corné Hoogendoorn; Nicolas Duchateau; Damian Sánchez-Quintana; Tristan Whitmarsh; Federico Sukno; Mathieu De Craene; Karim Lekadir; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2013)

A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning. - Lichao Wang; Karim Lekadir; Su-Lin Lee; Robert D. Merrifield; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2013)

Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts. - Xènia Albà; Karim Lekadir; Corné Hoogendoorn; Marco Pereañez; Andrew J. Swift; Jim M. Wild; Alejandro F. Frangi (STACOM, 2014)

A framework for the merging of pre-existing and correspondenceless 3D statistical shape models. - Marco Pereañez; Karim Lekadir; Constantine Butakoff; Corné Hoogendoorn; Alejandro F. Frangi (Medical Image Anal., 2014)

Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation. - Karim Lekadir; Ali Pashaei; Corné Hoogendoorn; Marco Pereañez; Xènia Albà; Alejandro F. Frangi (IEEE Trans. Biomed. Eng., 2014)

Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors. - Karim Lekadir; Corné Hoogendoorn; Marco Pereañez; Xènia Albà; Ali Pashaei; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2014)

Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling. - Ali Gooya; Karim Lekadir; Xènia Albà; Andrew J. Swift; Jim M. Wild; Alejandro F. Frangi (IPMI, 2015)

Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network. - Toni Lassila; Matthias Lange 002; Antonio R. Porras Perez; Karim Lekadir; Xènia Albà; Gemma Piella; Alejandro F. Frangi (STACOM@MICCAI, 2015)

Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction. - Karim Lekadir; Xènia Albà; Marco Pereañez; Alejandro F. Frangi (STACOM@MICCAI, 2015)

Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation. - Marco Pereañez; Karim Lekadir; Xènia Albà; Pau Medrano-Gracia; Alistair A. Young; Alejandro F. Frangi (STACOM@MICCAI, 2015)

Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction. - Catarina Pinto; Serkan Çimen; Ali Gooya; Karim Lekadir; Alejandro F. Frangi (STACOM@MICCAI, 2015)

A framework for optimal kernel-based manifold embedding of medical image data. - Veronika A. M. Zimmer; Karim Lekadir; Corné Hoogendoorn; Alejandro F. Frangi; Gemma Piella (Comput. Medical Imaging Graph., 2015)

Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation. - Isaac Castro-Mateos; José María Pozo; Marco Pereañez; Karim Lekadir; Áron Lazary; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2015)

A Predictive Model of Vertebral Trabecular Anisotropy From Ex Vivo Micro-CT. - Karim Lekadir; Corné Hoogendoorn; Javad Hazrati-Marangalou; Zeike A. Taylor; Christopher Noble; Bert van Rietbergen; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2015)

Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models. - Marco Pereañez; Karim Lekadir; Isaac Castro-Mateos; José María Pozo; Áron Lazary; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2015)

Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model. - Karim Lekadir; Matthias Lange 002; Veronika A. M. Zimmer; Corné Hoogendoorn; Alejandro F. Frangi (Medical Image Anal., 2016)

An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model. - Xènia Albà; Marco Pereañez; Corné Hoogendoorn; Andrew J. Swift; Jim M. Wild; Alejandro F. Frangi; Karim Lekadir (IEEE Trans. Medical Imaging, 2016)

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. - Irem Cetin; Gerard Sanroma; Steffen E. Petersen; Sandy Napel; Oscar Camara 001; Miguel Ángel González Ballester; Karim Lekadir (STACOM@MICCAI, 2017)

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. - Karim Lekadir; Alfiia Galimzianova; Àngels Betriu; Maria del Mar Vila; Laura Igual; Daniel L. Rubin; Elvira Fernández; Petia Radeva; Sandy Napel (IEEE J. Biomed. Health Informatics, 2017)

Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation. - Gerard Sanroma; Oualid M. Benkarim; Gemma Piella; Karim Lekadir; Nadine Hahner; Elisenda Eixarch; Miguel Ángel González Ballester (Comput. Medical Imaging Graph., 2018)

Automatic initialization and quality control of large-scale cardiac MRI segmentations. - Xènia Albà; Karim Lekadir; Marco Pereañez; Pau Medrano-Gracia; Alistair A. Young; Alejandro F. Frangi (Medical Image Anal., 2018)

Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. - Ali Gooya; Karim Lekadir; Isaac Castro-Mateos; José María Pozo; Alejandro F. Frangi (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. - Avan Suinesiaputra; Pierre Ablin; Xènia Albà; Martino Alessandrini; Jack Allen; Wenjia Bai; Serkan Çimen; Peter Claes; Brett R. Cowan; Jan D'hooge; Nicolas Duchateau; Jan Ehrhardt; et al. (IEEE J. Biomed. Health Informatics, 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

A Radiomics Approach to Analyze Cardiac Alterations in Hypertension. - Irem Cetin; Steffen E. Petersen; Sandy Napel; Oscar Camara 001; Miguel Ángel González Ballester; Karim Lekadir (ISBI, 2019)

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)

Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. - Akis Linardos; Kaisar Kushibar; Karim Lekadir (BrainLes@MICCAI (2), 2021)

A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. - Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Zahra Raisi-Estabragh; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir; Gloria Menegaz; Petia Radeva (CBMS, 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)

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)

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 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)

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)

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)

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)

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)

Fairness and bias correction in machine learning for depression prediction: results from four different study populations. - Vien Ngoc Dang; Anna Cascarano; Rosa H. Mulder; Charlotte Cecil; Maria A. Zuluaga; Jerónimo Hernández-González; Karim Lekadir (CoRR, 2022)

Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. - Vien Ngoc Dang; Francesco Galati; Rosa Cortese; Giuseppe Di Giacomo; Viola Marconetto; Prateek Mathur; Karim Lekadir; Marco Lorenzi; Ferran Prados; Maria A. Zuluaga (Medical Image Anal., 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)

Data sharing platforms: instruments to inform and shape science policy on data sharing? - Thijs Devriendt; Mahsa Shabani; Karim Lekadir; Pascal Borry (Scientometrics, 2022)

Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. - Vien Ngoc Dang; Adrià Casamitjana; Martijn P. A. Starmans; Carlos Martín-Isla; Jerónimo Hernández-González; Karim Lekadir; Alzheimer's Disease Neuroimaging Initiative (CLIP/FAIMI/EPIMI@MICCAI, 2023)

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)

Commentary on explainable artificial intelligence methods: SHAP and LIME. - Ahmed M. A. Salih; Zahra Raisi-Estabragh; Ilaria Boscolo Galazzo; Petia Radeva; Steffen E. Petersen; Gloria Menegaz; Karim Lekadir (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR. - Adrià Casamitjana; Roser Sala-Llonch; Karim Lekadir; Juan Eugenio Iglesias (CoRR, 2023)

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Karim Lekadir (CoRR, 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)

Machine and deep learning for longitudinal biomedical data: a review of methods and applications. - Anna Cascarano; Jordi Mur-Petit; Jerónimo Hernández-González; Marina Camacho; Nina de Toro Eadie; Polyxeni Gkontra; Marc Chadeau-Hyam; Jordi Vitrià; Karim Lekadir (Artif. Intell. Rev., 2023)

Cardiometabolic risk estimation using exposome data and machine learning. - Angélica Atehortúa; Polyxeni Gkontra; Marina Camacho; Oliver Díaz; Maria Bulgheroni; Valentina Simonetti; Marc Chadeau-Hyam; Janine F. Felix; Sylvain Sebert; Karim Lekadir (Int. J. Medical Informatics, 2023)

Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly. - Vien Ngoc Dang; Adrià Casamitjana; Jerónimo Hernández-González; Karim Lekadir; Alzheimer's Disease Neuroimaging Initiative (FAIMI/EPIMI@MICCAI, 2024)

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)

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)

Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. - Richard Osuala; Daniel Lang 003; Anneliese Riess; Georgios Kaissis; Zuzanna Szafranowska; Grzegorz Skorupko; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (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)

Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. - Esmeralda Ruiz Pujadas; Nay Aung; Liliana Szabo; Zahra Raisi-Estabragh; Marina Camacho; Steffen E. Petersen; Polyxeni Gkontra; Karim Lekadir (MIUA (2), 2024)

Understanding Early-Life Stress Impact on Mental-Physical Comorbidity Using Machine Learning. - Vien Ngoc Dang; Jerónimo Hernández-González; Karim Lekadir (SIPAIM, 2024)

Enhancing Heart Failure Management: Integrating AI with Telemonitoring Systems for Advanced Alarm-Based Solutions. - Joan Perramon Llussà; Júlia Altarriba Paracolls; Ricard Sanjosé Alemany; Marina Bataller; Núria Pastor Hernández; Unai Sánchez Luque; Karim Lekadir; Polyxeni Gkontra (SIPAIM, 2024)

Requirements for Human-Centered Artificial Intelligence: A Heart Failure Study Across Europe and Latin America. - Xènia Puig-Bosch; Machteld J. Boonstra; Miriam Cabrita; Joan Perramon; Sara Munive; Andrea Guala 002; Vladimír Kincl; Saskia Haitjema; Carina Dantas; Folkert W. Asselbergs; Karim Lekadir (SIPAIM, 2024)

A Structural Equation Model Linking Early-Life Stress to Adult Mental and Cardiovascular Disease. - Esmeralda Ruiz Pujadas; Anna Cascarano; Vien Ngoc Dang; Marina Camacho; Angélica Maria Atehortúa Labrador; Karim Lekadir (SIPAIM, 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)

Mitigating annotation shift in cancer classification using single image generative models. - Marta Buetas Arcas; Richard Osuala; Karim Lekadir; Oliver Díaz (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)

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)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Daniel M. Lang 003; Julia A. Schnabel; Oliver Díaz; 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)

Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions. - Katerina Nikiforaki; Ioannis Karatzanis; Aikaterini Dovrou; Maciej Bobowicz; Katarzyna Gwozdziewicz; Oliver Díaz; Manolis Tsiknakis; Dimitrios I. Fotiadis; Karim Lekadir; Kostas Marias (J. Imaging, 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)

A review of evaluation approaches for explainable AI with applications in cardiology. - Ahmed M. A. Salih; Ilaria Boscolo Galazzo; Polyxeni Gkontra; Elisa Rauseo; Aaron M. Lee; Karim Lekadir; Petia Radeva; Steffen E. Petersen; Gloria Menegaz (Artif. Intell. Rev., 2024)

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)

USLR: An open-source tool for unbiased and smooth longitudinal registration of brain MRI. - Adrià Casamitjana; Roser Sala-Llonch; Karim Lekadir; Juan Eugenio Iglesias (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)

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME. - Ahmed M. A. Salih; Zahra Raisi-Estabragh; Ilaria Boscolo Galazzo; Petia Radeva; Steffen E. Petersen; Karim Lekadir; Gloria Menegaz (Adv. Intell. Syst., 2025)

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)

Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging. - Isabella Cama; Alejandro Guzmán; Cristina Campi; Michele Piana; Karim Lekadir; Sara Garbarino; Oliver Díaz (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)

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)

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI. - Daniel M. Lang 003; Richard Osuala; Veronika Spieker; Karim Lekadir; Rickmer Braren; Julia A. Schnabel (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)

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)