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ORCIDKarim Lekadir
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- affiliation: Universitat de Barcelona, Spain
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2020 – today
- 2025
[j35]Zihao Zhou
, Yaosheng Lu, Jieyun Bai, Víctor M. Campello, Fan Feng, Karim Lekadir:
Segment Anything Model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis. Expert Syst. Appl. 263: 125699 (2025)- [j34]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. 99: 103353 (2025) - 2024
- [j33]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz:
A review of evaluation approaches for explainable AI with applications in cardiology. Artif. Intell. Rev. 57(9): 240 (2024) - [j32]Katerina Nikiforaki, Ioannis Karatzanis, Aikaterini Dovrou, Maciej Bobowicz, Katarzyna Gwozdziewicz, Oliver Díaz, Manolis Tsiknakis, Dimitrios I. Fotiadis, Karim Lekadir, Kostas Marias:
Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions. J. Imaging 10(5): 115 (2024) - [j31]Zhensen Chen, Yaosheng Lu, Shun Long, Víctor M. Campello, Jieyun Bai, Karim Lekadir:
Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network. IEEE J. Biomed. Health Informatics 28(8): 4648-4659 (2024) - [c37]Vien Ngoc Dang, Adrià Casamitjana, Jerónimo Hernández-González, Karim Lekadir, Alzheimer's Disease Neuroimaging Initiative:
Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly. FAIMI/EPIMI@MICCAI 2024: 46-55 - [c36]Jianmei Jiang, Huijin Wang, Jieyun Bai, Shun Long, Shuangping Chen, Víctor M. Campello, Karim Lekadir:
Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning. MICCAI (1) 2024: 448-458 - [c35]Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir:
Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. MICCAI (5) 2024: 713-723 - [c34]Esmeralda Ruiz Pujadas, Nay Aung, Liliana Szabo, Zahra Raisi-Estabragh, Marina Camacho, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir:
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers. MIUA (2) 2024: 441-453 - [c33]Vien Ngoc Dang, Jerónimo Hernández-González, Karim Lekadir:
Understanding Early-Life Stress Impact on Mental-Physical Comorbidity Using Machine Learning. SIPAIM 2024: 1-4 - [c32]Joan Perramon Llussà, Júlia Altarriba Paracolls, Ricard Sanjosé Alemany, Marina Bataller, Núria Pastor Hernández, Unai Sánchez Luque, Karim Lekadir, Polyxeni Gkontra:
Enhancing Heart Failure Management: Integrating AI with Telemonitoring Systems for Advanced Alarm-Based Solutions. SIPAIM 2024: 1-4 - [c31]Xènia Puig-Bosch, Machteld J. Boonstra, Miriam Cabrita, Joan Perramon, Sara Munive, Andrea Guala, Vladimír Kincl, Saskia Haitjema, Carina Dantas, Folkert W. Asselbergs, Karim Lekadir:
Requirements for Human-Centered Artificial Intelligence: A Heart Failure Study Across Europe and Latin America. SIPAIM 2024: 1-4 - [c30]Esmeralda Ruiz Pujadas, Anna Cascarano, Vien Ngoc Dang, Marina Camacho, Angélica Maria Atehortúa Labrador, Karim Lekadir:
A Structural Equation Model Linking Early-Life Stress to Adult Mental and Cardiovascular Disease. SIPAIM 2024: 1-4 - [e14]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15001, Springer 2024, ISBN 978-3-031-72377-3 [contents] - [e13]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15002, Springer 2024, ISBN 978-3-031-72068-0 [contents] - [e12]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15003, Springer 2024, ISBN 978-3-031-72383-4 [contents] - [e11]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15004, Springer 2024, ISBN 978-3-031-72082-6 [contents] - [e10]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15005, Springer 2024, ISBN 978-3-031-72085-7 [contents] - [e9]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15006, Springer 2024, ISBN 978-3-031-72088-8 [contents] - [e8]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15007, Springer 2024, ISBN 978-3-031-72103-8 [contents] - [e7]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15008, Springer 2024, ISBN 978-3-031-72110-6 [contents] - [e6]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15009, Springer 2024, ISBN 978-3-031-72113-7 [contents] - [e5]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15010, Springer 2024, ISBN 978-3-031-72116-8 [contents] - [e4]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15011, Springer 2024, ISBN 978-3-031-72119-9 [contents] - [e3]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15012, Springer 2024, ISBN 978-3-031-72389-6 [contents] - [i30]Richard Osuala, Daniel Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir:
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models. CoRR abs/2403.13890 (2024) - [i29]Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra:
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. CoRR abs/2403.19508 (2024) - [i28]Marta Buetas Arcas, Richard Osuala, Karim Lekadir, Oliver Díaz:
Mitigating annotation shift in cancer classification using single image generative models. CoRR abs/2405.19754 (2024) - [i27]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, 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, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir:
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR abs/2406.13844 (2024) - [i26]Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir:
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data. CoRR abs/2407.12669 (2024) - [i25]Jorge Fabila, Víctor M. Campello, Carlos Martín-Isla, Johnes Obungoloch, Kinyera Leo, Amodoi Ronald, Karim Lekadir:
Democratizing AI in Africa: FL for Low-Resource Edge Devices. CoRR abs/2408.17216 (2024) - [i24]Jianmei Jiang, Huijin Wang, Jieyun Bai, Shun Long, Shuangping Chen, Víctor M. Campello, Karim Lekadir:
Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning. CoRR abs/2409.06928 (2024) - [i23]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR abs/2409.10980 (2024) - [i22]Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Díaz, Karim Lekadir:
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. CoRR abs/2409.18872 (2024) - 2023
- [j30]Anna Cascarano, Jordi Mur-Petit, Jerónimo Hernández-González, Marina Camacho, Nina de Toro Eadie, Polyxeni Gkontra, Marc Chadeau-Hyam, Jordi Vitrià, Karim Lekadir:
Machine and deep learning for longitudinal biomedical data: a review of methods and applications. Artif. Intell. Rev. 56(S2): 1711-1771 (2023) - [j29]Angélica Atehortúa, Polyxeni Gkontra, Marina Camacho, Oliver Díaz, Maria Bulgheroni, Valentina Simonetti, Marc Chadeau-Hyam, Janine F. Felix, Sylvain Sebert, Karim Lekadir:
Cardiometabolic risk estimation using exposome data and machine learning. Int. J. Medical Informatics 179: 105209 (2023) - [j28]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Anal. 84: 102704 (2023) - [j27]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, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c29]Vien Ngoc Dang, Adrià Casamitjana, Martijn P. A. Starmans, Carlos Martín-Isla, Jerónimo Hernández-González, Karim Lekadir, Alzheimer's Disease Neuroimaging Initiative:
Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. CLIP/FAIMI/EPIMI@MICCAI 2023: 172-182 - [c28]Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala:
Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CLIP/FAIMI/EPIMI@MICCAI 2023: 246-255 - [i21]Ahmed M. A. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Gloria Menegaz, Karim Lekadir:
Commentary on explainable artificial intelligence methods: SHAP and LIME. CoRR abs/2305.02012 (2023) - [i20]Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala:
Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CoRR abs/2308.09640 (2023) - [i19]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, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - [i18]Adrià Casamitjana, Roser Sala-Llonch, Karim Lekadir, Juan Eugenio Iglesias:
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR. CoRR abs/2311.08371 (2023) - [i17]Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Karim Lekadir:
Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. CoRR abs/2311.10879 (2023) - 2022
- [j26]Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir:
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. Artif. Intell. Medicine 132: 102386 (2022) - [j25]Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla, David Viladés, Martín Luís Descalzo, Andrea Guala, José F. Rodríguez Palomares, Karim Lekadir:
Domain generalization in deep learning for contrast-enhanced imaging. Comput. Biol. Medicine 149: 106052 (2022) - [j24]Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga:
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. 75: 102263 (2022) - [j23]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [j22]Thijs Devriendt, Mahsa Shabani, Karim Lekadir, Pascal Borry:
Data sharing platforms: instruments to inform and shape science policy on data sharing? Scientometrics 127(6): 3007-3019 (2022) - [c27]Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) 2022: 514-524 - [e2]Esther Puyol-Antón, Mihaela Pop, Carlos Martín-Isla, Maxime Sermesant, Avan Suinesiaputra, Oscar Camara, Karim Lekadir, Alistair Young:
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13131, Springer 2022, ISBN 978-3-030-93721-8 [contents] - [i16]Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir:
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study. CoRR abs/2201.11620 (2022) - [i15]Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Díaz:
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. CoRR abs/2203.04961 (2022) - [i14]Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR abs/2203.08878 (2022) - [i13]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, Sikolia Z. Wanyonyi, Marleen Temmerman, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir:
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. CoRR abs/2209.09610 (2022) - [i12]Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir:
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. CoRR abs/2209.09809 (2022) - [i11]Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho, Eloy García, Smriti Joshi, Socayna Jouide, Michael W. Rutherford, Fred W. Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir:
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. CoRR abs/2209.14472 (2022) - [i10]Vien Ngoc Dang, Anna Cascarano, Rosa H. Mulder, Charlotte Cecil, Maria A. Zuluaga, Jerónimo Hernández-González, Karim Lekadir:
Fairness and bias correction in machine learning for depression prediction: results from four different study populations. CoRR abs/2211.05321 (2022) - 2021
- [j21]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c26]Akis Linardos, Kaisar Kushibar, Karim Lekadir:
Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. BrainLes@MICCAI (2) 2021: 481-493 - [c25]Smriti Joshi, Richard Osuala, Carlos Martín-Isla, Víctor M. Campello, Carla Sendra-Balcells, Karim Lekadir, Sergio Escalera:
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging. BrainLes@MICCAI (2) 2021: 540-551 - [c24]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva:
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS 2021: 492-497 - [c23]Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Style Curriculum Learning for Robust Medical Image Segmentation. MICCAI (1) 2021: 451-460 - [e1]Esther Puyol-Antón, Mihaela Pop, Maxime Sermesant, Víctor M. Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12592, Springer 2021, ISBN 978-3-030-68106-7 [contents] - [i9]Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir:
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR abs/2107.03901 (2021) - [i8]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR abs/2107.09543 (2021) - [i7]Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Style Curriculum Learning for Robust Medical Image Segmentation. CoRR abs/2108.00402 (2021) - [i6]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, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí:
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. CoRR abs/2109.09658 (2021) - [i5]Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla, David Vilades Medel, Martín Luís Descalzo, Andrea Guala, José F. Rodríguez Palomares, Karim Lekadir:
Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI. CoRR abs/2110.07360 (2021) - 2020
- [c22]Carlos Martín-Isla, Maryam Asadi-Aghbolaghi, Polyxeni Gkontra, Víctor M. Campello, Sergio Escalera, Karim Lekadir:
Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 1-16 - [i4]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i3]Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A radiomics approach to analyze cardiac alterations in hypertension. CoRR abs/2007.10717 (2020)
2010 – 2019
- 2019
- [c21]Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Analyze Cardiac Alterations in Hypertension. ISBI 2019: 640-643 - [c20]Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir:
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. STACOM@MICCAI 2019: 290-299 - [i2]Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel Ángel González Ballester, Karim Lekadir:
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI. CoRR abs/1909.01182 (2019) - [i1]Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. CoRR abs/1909.11854 (2019) - 2018
- [j20]Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Karim Lekadir, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester:
Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation. Comput. Medical Imaging Graph. 69: 52-59 (2018) - [j19]Xènia Albà, Karim Lekadir, Marco Pereañez, Pau Medrano-Gracia, Alistair A. Young, Alejandro F. Frangi:
Automatic initialization and quality control of large-scale cardiac MRI segmentations. Medical Image Anal. 43: 129-141 (2018) - [j18]Ali Gooya, Karim Lekadir, Isaac Castro-Mateos, José María Pozo, Alejandro F. Frangi:
Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 891-904 (2018) - [j17]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, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [j16]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - 2017
- [j15]Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel:
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. IEEE J. Biomed. Health Informatics 21(1): 48-55 (2017) - [c19]Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI. STACOM@MICCAI 2017: 82-90 - 2016
- [j14]Karim Lekadir, Matthias Lange, Veronika A. M. Zimmer, Corné Hoogendoorn, Alejandro F. Frangi:
Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model. Medical Image Anal. 27: 105-116 (2016) - [j13]Xènia Albà, Marco Pereañez, Corné Hoogendoorn, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi, Karim Lekadir:
An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model. IEEE Trans. Medical Imaging 35(3): 845-859 (2016) - 2015
- [j12]Veronika A. M. Zimmer, Karim Lekadir, Corné Hoogendoorn, Alejandro F. Frangi, Gemma Piella:
A framework for optimal kernel-based manifold embedding of medical image data. Comput. Medical Imaging Graph. 41: 93-107 (2015) - [j11]Marco Pereañez, Karim Lekadir, Isaac Castro-Mateos, José María Pozo, Áron Lazary, Alejandro F. Frangi:
Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models. IEEE Trans. Medical Imaging 34(8): 1627-1639 (2015) - [j10]Isaac Castro-Mateos, José María Pozo, Marco Pereañez, Karim Lekadir, Áron Lazary, Alejandro F. Frangi:
Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation. IEEE Trans. Medical Imaging 34(8): 1663-1675 (2015) - [j9]Karim Lekadir, Corné Hoogendoorn, Javad Hazrati-Marangalou, Zeike A. Taylor, Christopher Noble, Bert van Rietbergen, Alejandro F. Frangi:
A Predictive Model of Vertebral Trabecular Anisotropy From Ex Vivo Micro-CT. IEEE Trans. Medical Imaging 34(8): 1747-1759 (2015) - [c18]