SELECTED PUBLICATIONS

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Lekadir, K., Frangi, A. F., Porras, A. R., Glocker, B., Cintas, C., Langlotz, C. P., Weicken, E., Asselbergs, F. W., Prior, F., Collins, G. S., Kaissis, G., Tsakou, G., Buvat, I., Kalpathy-Cramer, J., Mongan, J., Schnabel, J. A., Kushibar, K., Riklund, K., Marias, K., Amugongo, L. M., … FUTURE-AI Consortium (2025).

BMJ (Clinical research ed.), 388, e081554. February 2025.

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models

Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Diaz, Julia A. Schnabel & Karim Lekadir 

International Conference on Medical Image Computing and Computer-Assisted Intervention pp. 713-723, Cham: Springer Nature Switzerland. October 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, Victor M. Campello & Karim Lekadir 

International conference on medical image computing and computer-assisted intervention pp. 448-458, Cham: Springer Nature Switzerland. October 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, Julia A. Schnabel, Oliver Diaz & Karim Lekadir

Preprint submitted to arXiv, preprint arXiv:2409.18872. Sept 2024.

Democratizing AI in Africa: Federated learning for low-resource edge devices

Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Diaz, Julia A. Schnabel & Karim Lekadir

Preprint submitted to ArXiv, arXiv:2408.1721. Aug 2024.

A review of evaluation approaches for explainable AI with applications in cardiology

Ahmed M. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron Mark Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen & Gloria Menegaz

Artificial intelligence review, 57-9 -240. Aug 2024.

Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts

Daniela Polessa Paula, Marina Camacho, Odaleia Barbosa, Larissa Marques, Rosane Harter Griep, Maria Jesus Mendes da Fonseca, Sandhi Barreto & Karim Lekadir

BMC public health, 24(1), 2131. Aug 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 

In Annual Conference on Medical Image Understanding and Analysis (pp. 441-453). July 2024, Cham: Springer Nature Switzerland.

Enhancing the utility of privacy-preserving cancer classification using synthetic data

Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Diaz, Julia A. Schnabel & Karim Lekadir

Preprint submitted to ArXiv, arXiv:2407.12669. July 2024

Ischemic heart disease and cardiac arrhythmia are associated with increased cardiac aging

Ahmed Salih, Elisa Rauseo, Ilaria Galazzo, Esmeralda Ruiz Pujadas, Victor Campello, Karim Lekadir, Nay Aung, Greg Slabaugh, Ghaith Dabbagh, Anwar Chahal, Gloria Menegaz & Steffen Petersen

Preprint submitted to Research Square. June 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 Gwózdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad, Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oğuz Lafcı, Ritse Mann, Carlos Martín-Isla, Fred Prior, Kostas Marias, Martijn P.A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual & Karim Lekadir

Preprint submitted to Scientific Data, June 2024

Digital twins: reimagining the future of cardiovascular risk prediction and personalised care

Katarzyna Dziopa, Karim Lekadir, Pim van der Harst &
Folkert W. Asselbergs

Hellenic journal of cardiology. June 2024, S1109-9666(24)00125-8

A deep learning solution to detect left ventricular structural abnormalities with chest X-rays: towards trustworthy AI in cardiology

Karim Lekadir

European Heart Journal. June 2024, Vol. 45, Issue 22

Public data homogenization for AI model development in breast cancer

Vassilis Kilintzis, Varvara Kalokyri, Haridimos Kondylakis, Smriti Joshi, Katerina Nikiforaki, Oliver Díaz, Karim Lekadir, Manolis Tsiknakis & Kostas Marias

European Radiology Experimental. April 2024, Vol. 8, Article 42

Fairness and bias correction in machine learning for depression prediction across four study populations

Vien Ngoc Dang, Anna Cascarano, Rosa H. Mulder, Charlotte Cecil, Maria A. Zuluaga, Jerónimo Hernández-González & Karim Lekadir

Scientific Reports. April 2024, Vol. 14, Article 7848

Cohort Profile: The Cardiovascular Research Data Catalogue

Jaakko Reinikainen, Tarja Palosaari, Alejandro J Canosa-Valls, Carsten O Schmidt, Rita Wissa, Sucharitha Chadalavada, Laia Codó, Josep Lluís Gelpí, Bijoy Joseph, Aad van der Lugt, Elsa Pacella, Steffen E Petersen, Esmeralda Ruiz Pujadas, Liliana Szabo, Tanja Zeller, Teemu Niiranen, Karim Lekadir, Kari Kuulasmaa

International Journal of Epidemiology. February 2024, Vol. 53, Issue 1

A structural heart-brain axis mediates the association between cardiovascular risk and cognitive function 

Akshay Jaggi, Eleanor L.S. Conole, Zahra Raisi-Estabragh, Polyxeni Gkontra, Celeste McCracken, Liliana Szabo, Stefan Neubauer, Steffen E. Petersen, Simon R. Cox, Karim Lekadir

Imaging Neuroscience. January 2024, Vol. 2

Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset

Zahra Raisi-Estabragh,Carlos Martin-Isla, Louise Nissen, Liliana Szabo, Victor M. Campello, Sergio Escalera, Simon Winther, Morten Bøttcher, Karim Lekadir, Steffen E. Petersen

Frontiers in Cardiovascular Medicine. September 2023, Vol. 10, Article 1141026

Image‐Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers

Ahmed M Salih, Esmeralda Ruiz Pujadas, Víctor M Campello, Celeste McCracken, Nicholas C Harvey, Stefan Neubauer, Karim Lekadir, Thomas E Nichols, Steffen E Petersen, Zahra Raisi‐Estabragh

Journal of Magnetic Resonance Imaging. March 2023, Vol. 10, Article 28675

medigan: a Python library of pretrained generative models for medical image synthesis

Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho, Eloy García, Smriti Joshi, Socayna Jouide, Michael Rutherford, Fred Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir

Journal of Medical Imaging. February 2023, Vol. 10, Issue 6, Article 061403

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 Diaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir

Frontiers Oncology. January 2023, Section Breast Cancer, Vol 12

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Carla Sendra-Balcells, Víctor M Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene-Botwe, Pempho Nyangulu, William Stones, Mohammed Ammar, Lamya Nawal Benamer, Harriet Nalubega Kisembo, Senai Goitom Sereke, Sikolia Z Wanyonyi, Marleen Temmerman, Eduard Gratacós, Elisenda Bonet, Elisenda Eixarch, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir

Scientific Reports. February 2023, Vol. 13, Article 2728

Atrial fibrillation prediction by combining ECG markers and CMR radiomics

Esmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, Cristian Izquierdo Morcillo, Víctor M. Campello, Carlos Martin-Isla, Hajnalka Vago, Bela Merkely, Nicholas C. Harvey, Steffen E. Petersen and Karim Lekadir 

Scientific Reports. November 2022, Vol. 12, Article 18876

Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank
Irem Cetin, Zahra Raisi-Estabragh, Steffen E. Petersen, Sandy Napel, Stefan K. Piechnik, Stefan Neubauer, Miguel A. Gonzalez Ballester, Oscar Camara and Karim Lekadir

Frontiers in Cardiovascular Medicine. November 2020, Vol. 7, Pages 232-243

Current and Future Role of Artificial Intelligence in Cardiac Imaging
Karim Lekadir, Tim Leiner, Alistair A. Young and Steffen E. Petersen
Frontiers in Cardiovascular Medicine. August 2020, Vol. 7
Cardiac Magnetic Resonance Radiomics: Basic Principles and Clinical Perspectives
Zahra Raisi-Estabragh, Cristian Izquierdo, Victor M. Campello, Carlos Martin-Isla, Akshay Jaggi, Nicholas C. Harvey, Karim Lekadir and Steffen E. Petersen
European Heart Journal-Cardiovascular Imaging. April 2020, Vol. 21, Issue 4, Pages 349-356

Fusion of 3D real-time Echocardiography and cine MRI using a Saliency Analysis

Angélica Atehortúa, Mireille Garreau, Antoine Simon, Erwan Donal, Mathieu Lederlin and Eduardo Romero
Int. J. of Computer Assisted Radiology and Surgery. February 2020, Vol. 15, Issue 2, Pages 227-285

Image-Based Cardiac Diagnosis With Machine Learning: A Review

Carlos Martin-Isla, Victor M. Campello, Cristian Izquierdo, Zahra Raisi-Estabragh, Bettina Baeßler, Steffen E. Petersen and Karim Lekadir

Frontiers in Cardiovascular Medicine. January 2020, Vol. 7, Issue 1, Pages 1-19

Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction

Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, Jose Bernal, Mariano Cabezas, Arnau Oliver and Xavier Lladó
Scientific reports. May 2019, Vol. 9, Issue 1, Pages 1-15

Deep Convolutional Neural Networks for Brain Image Analysis on Magnetic Resonance Imaging: a review

Jose Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí and Xavier Lladó
Artificial intelligence in medicine. April 2019, Vol. 95, Issue 1, Pages 64-81
Sequential Bone-Marrow Cell Delivery of VEGFA/S1P Improves Vascularization and Limits Adverse Cardiac Remodeling After Myocardial Infarction in Mice
Magdalena M Żak, Polyxeni Gkontra, Cristina Clemente, Mario Leonardo Squadrito, Alessia Ferrarini, Rubén A. Mota, Eduardo Oliver, Susana Rocha, Jaume Agüero, Jesús Vázquez, Michele De Palma, Borja Ibáñez and Alicia G. Arroyo
Human gene therapy. March 2019, Vol. 30, Issue 7, Pages 893-905
Automatic Mass Detection in Mammograms using Deep Convolutional Neural Networks
Richa Agarwal, Oliver Diaz, Xavier Lladó, Moi Hoon Yap and Robert Martí
Journal of Medical Imaging. February 2019, Vol. 6, Issue 3, Pages 1-9

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 and Miguel A.González Ballester
Computerized Medical Imaging and Graphics. November 2018, Vol. 69, Issue 1, Pages 52-59

Automated sub-cortical Brain Structure Segmentation combining Spatial and Deep Convolutional Features

Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, Jose Bernal, Mariano Cabezas, Arnau Oliver and Xavier Lladó
Medical image analysis. August 2018, Vol. 48, Issue 1, Pages 177-186
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P. Heng, I. Cetin, K. Lekadir, O. Camara, M. A. Gonzalez Ballester, G. Sanroma, S. Napel, S. Petersen, G. Tziritas, E. Grinias, M. Khened, V. A. Kollerathu, G. Krishnamurthi, M. Rohé, X. Pennec, M. Sermesant, F. Isensee, P. Jäger, K. H. Maier-Hein, P. M. Full, I. Wolf, S. Engelhardt, C. F. Baumgartner, L. M. Koch, J. M. Wolterink, I. Išgum, Y. Jang, Y. Hong, J. Patravali, S. Jain, O. Humbert and P. Jodoin
IEEE Transactions on Medical Imaging. May 2018, Vol. 37, Issue 11, Pages 2514-525
Rule-based Modelling provides an Extendable Framework for Comparing Candidate Mechanisms Underpinning Clathrin Polymerisation
Anatoly Sorokin, Katharina F. Heil, J. Douglas Armstrong and Oksana Sorokina
Scientific reports. April 2018, Vol. 8, Issue 1, Pages 1-10

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

A. Suinesiaputra, P. Ablin, X. Albà, M. Alessandrini, J. Allen, W. Bai, S. Çimen, P. Claes, B. R. Cowan, J. D’hooge, N. Duchateau, J. Ehrhardt, A. F. Frangi, A. Gooya, V. Grau, K. Lekadir, A. Lu, A. Mukhopadhyay, I. Oksuz, N. Parajuli, X. Pennec, M. Pereañez, C. Pinto, P. Piras, M. Rohé, D. Rueckert, D. Säring, M. Sermesant, K. Siddiqi, M. Tabassian, L. Teresi, S. A. Tsaftaris, M. Wilms, A. Young, X. Zhang and P. Medrano-Gracia

IEEE Journal of Biomedical and Health Informatics. March 2018, Vol. 22, Issue 2, Pages 503-515

Deciphering Microvascular Changes after Myocardial Infarction through 3D Fully Automated Image Analysis
Polyxeni Gkontra, Kerri-Ann Norton, Magdalena M. Żak, Cristina Clemente, Jaume Agüero, Borja Ibáñez, Andrés Santos, Aleksander S. Popel and Alicia G. Arroyo

Scientific reports. January 2018, Vol. 8, Issue 1, Pages 1-19

Automatic Initialization and Quality Control of Large-Scale Cardiac MRI Segmentations
Xènia Albà, Karim Lekadir, Marco Pereañez, Pau Medrano-Gracia, Alistair A. Young and Alejandro F. Frangi
Medical Image Analysis. January 2018, Vol. 43, Issue 1, Pages 129-141

Automatic Segmentation of Right Ventricle in Cardiac cine MR Images using a Saliency Analysis

Angélica Atehortúa, Maria A. Zuluaga, Juan D. García and Eduardo Romero
Medical physics. December 2016, Vol. 43, Issue 12, Pages 6270-6281
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
Karim Lekadir, Alfiia Galimzianova, Angels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva and Sandy Napel
IEEE journal of biomedical and health informatics. November 2016, Vol. 21, Issue 1, Pages 48-55
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 and Karim Lekadir
IEEE Transactions on Medical Imaging. March 2016, Vol. 35, Issue 3, Pages 845-859

Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction

Karim Lekadir, Xènia Albà, Marco Pereañez and Alejandro F. Frangi
Statistical Atlases and Comp. Models of the Heart (STACOM). October 2015, Vol. 1, Issue 1, Pages 130-139

Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

Karim Lekadir, Christopher Noble, Javad Hazrati-Marangalou, Corné Hoogendoorn, Bert van Rietbergen, Zeike A. Taylor and Alejandro F. Frangi
Annals of Biomedical Engineering. August 2015, Vol. 44, Issue 1, Pages 234-246
Statistical Estimation of Femur Micro-Architecture using Optimal Shape and Density Predictors
Karim Lekadir, Javad Hazrati-Marangalou, Corné Hoogendoorn, Zeike Taylor, Bertvan Rietbergen and Alejandro F.Frangi
Medical Image Analysis. February 2015, Vol. 48, Issue 4, Pages 98-603
Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models
Marco Pereañez, Karim Lekadir, Isaac Castro-Mateos, José Maria Pozo, Áron. Lazáry and Alejandro F. Frangi
IEEE Transactions on Medical Imaging. January 2015, Vol. 34, Issue 8, Pages 1627-1639
Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation
Karim Lekadir, Ali Pashaei, Corné Hoogendoorn, Marco Pereanez, Xènia Albà and Alejandro F. Frangi
IEEE Transactions on Biomedical Engineering. November 2014, Vol. 61, Issue 11, Pages 2740-2748

Image Simulation and a Model of Noise Power Spectra across a Range of Mammographic Beam Qualities

Alistair Mackenzie, David R. Dance, Oliver Diaz and Kenneth C. Young

Medical physics. November 2014, Vol. 41, Issue 12, Pages 121901

Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors

Karim Lekadir, Corné Hoogendoorn, Marco Pereanez, Xènia Albà, Ali Pashaei and Alejandro F. Frangi
IEEE Transactions on Medical Imaging. April 2014, Vol. 33, Issue 4, Pages 882-890

Personalization of a Cardiac Electromechanical Model using Reduced Order Unscented Kalman Filtering from Regional Volumes

S. Marchesseau, H. Delingette, M. Sermesant, R. Cabrera-Lozoya, C. Tobon-Gomez, P. Moireau, R.M. Figueras, K. Lekadir, A. Hernandez, M. Garreau, E. Donal, C. Leclercq, S.G. Duckett, K. Rhode, C.A. Rinaldi, A.F. Frangi, R. Razavi, D. Chapelle and N. Ayache
Medical Image Analysis. October 2013, Vol. 17, Issue 7, Pages 816-829

Simulation and Assessment of Realistic Breast Lesions using Fractal Growth Models

A Rashidnasab, P Elangovan, M Yip, Oliver Diaz, D R Dance, K C Young and K Wells
Physics in Medicine & Biology. July 2013, Vol. 58, Issue 16, Pages 5613-5627

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

Corné Hoogendoorn, Nicolas Duchateau, Damián Sanchez-Quintana, Tristan Whitmarsh, Federico. M. Sukno, Mathieu De Craene, Karim Lekadir and Alejandro Frangi
IEEE transactions on medical imaging. November 2012, Vol. 32, Issue 1, Pages 28-44
An Inter-Landmark Approach to 4-D Shape Extraction and Interpretation: Application to Myocardial Motion Assessment in MRI
Karim Lekadir, Niall G. Keenan, Dudley J. Pennell and Guang-Zhong Yang
IEEE Transactions on Medical Imaging. January 2011, Vol. 30, Issue 1, Pages 52-68