Karim Lekadir
Orcid: 0000-0002-9456-1612Affiliations:
- Universitat de Barcelona, Spain
According to our database1,
Karim Lekadir
authored at least 87 papers
between 2006 and 2025.
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Bibliography
2025
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.
Medical Image Anal., 2025
2024
A review of evaluation approaches for explainable AI with applications in cardiology.
Artif. Intell. Rev., September, 2024
Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network.
IEEE J. Biomed. Health Informatics, August, 2024
Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions.
J. Imaging, May, 2024
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks.
CoRR, 2024
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images.
CoRR, 2024
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data.
CoRR, 2024
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations.
CoRR, 2024
Mitigating annotation shift in cancer classification using single image generative models.
CoRR, 2024
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024
2023
Int. J. Medical Informatics, November, 2023
Machine and deep learning for longitudinal biomedical data: a review of methods and applications.
Artif. Intell. Rev., November, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging.
Medical Image Anal., 2023
CoRR, 2023
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR.
CoRR, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
Data sharing platforms: instruments to inform and shape science policy on data sharing?
Scientometrics, 2022
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.
Medical Image Anal., 2022
Fairness and bias correction in machine learning for depression prediction: results from four different study populations.
CoRR, 2022
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging.
CoRR, 2022
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection.
CoRR, 2022
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries.
CoRR, 2022
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification.
CoRR, 2022
Comput. Biol. Medicine, 2022
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study.
Artif. Intell. Medicine, 2022
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI.
CoRR, 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.
CoRR, 2021
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.
CoRR, 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
2019
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Automatic initialization and quality control of large-scale cardiac MRI segmentations.
Medical Image Anal., 2018
Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation.
Comput. Medical Imaging Graph., 2018
2017
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
IEEE J. Biomed. Health Informatics, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
2016
An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model.
IEEE Trans. Medical Imaging, 2016
Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model.
Medical Image Anal., 2016
2015
Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models.
IEEE Trans. Medical Imaging, 2015
IEEE Trans. Medical Imaging, 2015
IEEE Trans. Medical Imaging, 2015
Comput. Medical Imaging Graph., 2015
Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation.
IEEE Trans. Biomed. Eng., 2014
A framework for the merging of pre-existing and correspondenceless 3D statistical shape models.
Medical Image Anal., 2014
Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014
2013
A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning.
IEEE Trans. Medical Imaging, 2013
IEEE Trans. Medical Imaging, 2013
Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes.
Medical Image Anal., 2013
Patient-Specific Manifold Embedding of Multispectral Images Using Kernel Combinations.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Personalized Modeling of Cardiac Electrophysiology Using Shape-Based Prediction of Fiber Orientation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013
2012
Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
An Inter-Landmark Approach to 4-D Shape Extraction and Interpretation: Application to Myocardial Motion Assessment in MRI.
IEEE Trans. Medical Imaging, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
2008
Optimal Feature Point Selection and Automatic Initialization in Active Shape Model Search.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
2007
IEEE Trans. Medical Imaging, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2006
Carotid Artery Segmentation Using an Outlier Immune 3D Active Shape Models Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006