Kaisar Kushibar

42 papers Journal 33Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines. IEEE J. Biomed. Health Informatics Haridimos Kondylakis, Richard Osuala, Xènia Puig-Bosch, Noussair Lazrak, Oliver Díaz, Kaisar Kushibar, Ioanna Chouvarda, Stefanie Charalambous, Martijn P. A. Starmans, Sara Colantonio, Nikolaos S. Tachos, Smriti Joshi, Henry C. Woodruff, Zohaib Salahuddin, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Nikolaos Papanikolaou, Philippe Lambin, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis, Luis Martí-Bonmatí, Karim Lekadir
2026	J	`jnl`	Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets. Medical Image Anal. Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel Lang, Sungheon Gene Kim, Lars J. Grimm, John Lewin, James S. Duncan, Julia A. Schnabel, Oliver Díaz, Karim Lekadir, Maciej A. Mazurowski
2026	J	`jnl`	The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction. CoRR Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, 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, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir
2025	J	`jnl`	Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. Comput. Biol. Medicine Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias Stefan May, Zhaohong Pan, Xiang Zhou, XiaoKun Liang, Franciskus Xaverius Erick, Andrea Prenner, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Kaisar Kushibar, Carlos Martín-Isla, Petia Radeva, Karim Lekadir, Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren, Lucas Gago, Justin Englemann, Joy-Marie Kleiss, Anton Aubanell, Andreu Antolin, Javier García López, Miguel Ángel González Ballester, Adrian Galdran
2025	J	`jnl`	Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. CoRR Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias Stefan May, Zhaohong Pan, Xiang Zhou, XiaoKun Liang, Franciskus Xaverius Erick, Andrea Prenner, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Kaisar Kushibar, Carlos Martín-Isla, Petia Radeva, Karim Lekadir, Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren, Lucas Gago, Justin Englemann, Joy-Marie Kleiss, Anton Aubanell, Andreu Antolin, Javier García López, Miguel Ángel González Ballester, Adrian Galdran
2025	—	`conf`	Clinically-Guided Data Synthesis for Laryngeal Lesion Detection. MICCAI (11) Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Díaz, Karim Lekadir, Leonardo S. Mattos
2025	J	`jnl`	Clinically-guided Data Synthesis for Laryngeal Lesion Detection. CoRR Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Díaz, Karim Lekadir, Leonardo S. Mattos
2025	—	`conf`	Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models. FAIMI@MICCAI Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Vien Ngoc Dang, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
2025	J	`jnl`	Federated nnU-Net for Privacy-Preserving Medical Image Segmentation. CoRR 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, Karim Lekadir
2025	—	`conf`	Single Image Test-Time Adaptation via Multi-View Co-Training. MICCAI (6) Smriti Joshi, Richard Osuala, Lidia Garrucho, Kaisar Kushibar, Dimitri A. Kessler, Oliver Díaz, Karim Lekadir
2025	J	`jnl`	Single Image Test-Time Adaptation via Multi-View Co-Training. CoRR Smriti Joshi, Richard Osuala, Lidia Garrucho, Kaisar Kushibar, Dimitri A. Kessler, Oliver Díaz, Karim Lekadir
2024	J	`jnl`	Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. CoRR Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
2024	J	`jnl`	Efficient MedSAMs: Segment Anything in Medical Images on Laptop. CoRR Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang
2024	—	`conf`	Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation. Deep-Breath@MICCAI Lidia Garrucho, Eve Delegue, Richard Osuala, Dimitri A. Kessler, Kaisar Kushibar, Oliver Díaz, Karim Lekadir, Laura Igual
2024	J	`jnl`	MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR 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
2024	J	`jnl`	Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models. CoRR 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
2024	—	`conf`	Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. MICCAI (5) 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
2023	J	`jnl`	Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Anal. Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir
2023	J	`jnl`	Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 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
2023	—	`conf`	Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CLIP/FAIMI/EPIMI@MICCAI Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala
2023	J	`jnl`	Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CoRR Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala
2022	J	`jnl`	Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. Artif. Intell. Medicine Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir
2022	J	`jnl`	Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study. CoRR Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir
2022	J	`jnl`	High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. CoRR Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir
2022	—	`conf`	Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir
2022	J	`jnl`	Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir
2022	J	`jnl`	Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. CoRR Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Díaz
2022	J	`jnl`	medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. CoRR 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
2021	J	`jnl`	A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir
2021	—	`conf`	Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. BrainLes@MICCAI (2) Akis Linardos, Kaisar Kushibar, Karim Lekadir
2021	J	`jnl`	FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. CoRR 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
2021	J	`jnl`	Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir
2021	J	`jnl`	Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. Neuroinformatics José Bernal, Sergi Valverde, Kaisar Kushibar, Mariano Cabezas, Arnau Oliver, Xavier Lladó
2020	—	`—`	Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques. Kaisar Kushibar
2019	J	`jnl`	A Hybrid SLAM and Object Recognition System for Pepper Robot. CoRR Paola Ardón, Kaisar Kushibar, Songyou Peng
2019	J	`jnl`	Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. Artif. Intell. Medicine José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó
2019	J	`jnl`	Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging. IEEE Access José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó
2018	J	`jnl`	Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. Medical Image Anal. Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó
2018	J	`jnl`	Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging. CoRR José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó
2018	J	`jnl`	Survival prediction using ensemble tumor segmentation and transfer learning. CoRR Mariano Cabezas, Sergi Valverde, Sandra González-Villà, Albert Clérigues, Mostafa Salem, Kaisar Kushibar, José Bernal, Arnau Oliver, Xavier Lladó
2017	J	`jnl`	Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. CoRR Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó
2017	J	`jnl`	Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. CoRR José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Marti, Xavier Lladó