Kaisar Kushibar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Convolutional Neural Networks

Diffusion Models

Magnetic Resonance Imaging

Top Venues

Artif. Intell. Medicine

Medical Image Anal.

BrainLes@MICCAI (2)

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2023)
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)
Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala
Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CoRR (2023)
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) (2023)
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 (2022)
Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho, Eloy García, Smriti Joshi, Socayna Jouide, Michael Rutherford, Fred Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. CoRR (2022)
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 (2022)
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)
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 (2022)
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 (2022)
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 (2022)
Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. CoRR (2021)
José Bernal, Sergi Valverde, Kaisar Kushibar, Mariano Cabezas, Arnau Oliver, Xavier Lladó
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. Neuroinformatics 19 (3) (2021)
Akis Linardos, Kaisar Kushibar, Karim Lekadir
Center Dropout: A Simple Method for Speed and Fairness in Federated Learning. BrainLes@MICCAI (2) (2021)
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 (2021)
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 (2021)
José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. Artif. Intell. Medicine 95 (2019)
José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó
Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging. IEEE Access 7 (2019)
Paola Ardón, Kaisar Kushibar, Songyou Peng
A Hybrid SLAM and Object Recognition System for Pepper Robot. CoRR (2019)
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. Medical Image Anal. 48 (2018)
José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging. CoRR (2018)
Mariano Cabezas, Sergi Valverde, Sandra González-Villà, Albert Clérigues, Mostafa Salem, Kaisar Kushibar, José Bernal, Arnau Oliver, Xavier Lladó
Survival prediction using ensemble tumor segmentation and transfer learning. CoRR (2018)
José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Marti, Xavier Lladó
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. CoRR (2017)
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. CoRR (2017)