Karim Lekadir

Orcid: 0000-0002-9456-1612

Affiliations:
  • Universitat de Barcelona, Spain


According to our database1, Karim Lekadir authored at least 74 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models.
CoRR, 2024

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models.
CoRR, 2024

2023
Cardiometabolic risk estimation using exposome data and machine learning.
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

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation.
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

Commentary on explainable artificial intelligence methods: SHAP and LIME.
CoRR, 2023

Revisiting Skin Tone Fairness in Dermatological Lesion Classification.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease.
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

Domain generalization in deep learning for contrast-enhanced imaging.
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

Style Curriculum Learning for Robust Medical Image Segmentation.
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

Center Dropout: A Simple Method for Speed and Fairness in Federated Learning.
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

A Radiomics Approach to Analyze Cardiac Alterations in Hypertension.
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

Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets.
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

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI.
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

A Predictive Model of Vertebral Trabecular Anisotropy From Ex Vivo Micro-CT.
IEEE Trans. Medical Imaging, 2015

Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation.
IEEE Trans. Medical Imaging, 2015

A framework for optimal kernel-based manifold embedding of medical image data.
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

Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation.
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
Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors.
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

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT.
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

Fusing Correspondenceless 3D Point Distribution Models.
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

Healthy and Scar Myocardial Tissue Classification in DE-MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2012

Conical deformable model for myocardial segmentation in late-enhanced MRI.
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

Predictive Modeling of Cardiac Fiber Orientation Using the Knutsson Mapping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
Subject Specific Shape Modeling with Incremental Mixture Models.
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
Outlier Detection and Handling for Robust 3-D Active Shape Models Search.
IEEE Trans. Medical Imaging, 2007

Shape-Based Myocardial Contractility Analysis Using Multivariate Outlier Detection.
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

Tissue Characterization Using Dimensionality Reduction and Fluorescence Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006


  Loading...