Kaisar Kushibar
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Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J Bernal, K Kushibar, DS Asfaw, S Valverde, A Oliver, R Martí, X Lladó
Artificial intelligence in medicine 95, 64-81, 2019
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
K Kushibar, S Valverde, S Gonzalez-Villa, J Bernal, M Cabezas, A Oliver, ...
Medical image analysis 48, 177-186, 2018
Improving the detection of autism spectrum disorder by combining structural and functional MRI information
M Rakić, M Cabezas, K Kushibar, A Oliver, X Lladó
NeuroImage: Clinical 25, 102181, 2020
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
O Diaz, K Kushibar, R Osuala, A Linardos, L Garrucho, L Igual, P Radeva, ...
Physica medica 83, 25-37, 2021
FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging
K Lekadir, R Osuala, C Gallin, N Lazrak, K Kushibar, G Tsakou, S Aussó, ...
arXiv preprint arXiv:2109.09658, 2021
Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
A Linardos, K Kushibar, S Walsh, P Gkontra, K Lekadir
Scientific Reports 12 (1), 3551, 2022
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
J Bernal, K Kushibar, M Cabezas, S Valverde, A Oliver, X Lladó
IEEE Access 7, 89986-90002, 2019
Supervised domain adaptation for automatic sub-cortical brain structure segmentation with minimal user interaction
K Kushibar, S Valverde, S Gonzalez-Villa, J Bernal, M Cabezas, A Oliver, ...
Scientific reports 9 (1), 6742, 2019
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
R Osuala, K Kushibar, L Garrucho, A Linardos, Z Szafranowska, S Klein, ...
Medical Image Analysis 84, 102704, 2023
Survival prediction using ensemble tumor segmentation and transfer learning
M Cabezas, S Valverde, S González-Villà, A Clérigues, M Salem, ...
arXiv preprint arXiv:1810.04274, 2018
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study
L Garrucho, K Kushibar, S Jouide, O Diaz, L Igual, K Lekadir
Artificial Intelligence in Medicine 132 (102386), 2022
Face recognition using artificial neural networks in parallel architecture
B Omarov, A Suliman, K Kushibar
Asian Research Publishing Network, 2016
Deep learning segmentation of the right ventricle in cardiac mri: The m&ms challenge
C Martín-Isla, VM Campello, C Izquierdo, K Kushibar, C Sendra-Balcells, ...
IEEE Journal of Biomedical and Health Informatics 27 (7), 3302-3313, 2023
medigan: a Python library of pretrained generative models for medical image synthesis
R Osuala, G Skorupko, N Lazrak, L Garrucho, E García, S Joshi, S Jouide, ...
Journal of Medical Imaging 10 (6), 061403-061403, 2023
Generating longitudinal atrophy evaluation datasets on brain magnetic resonance images using convolutional neural networks and segmentation priors
J Bernal, S Valverde, K Kushibar, M Cabezas, A Oliver, X Llado, ...
Neuroinformatics 19, 477-492, 2021
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
K Lekadir, A Feragen, AJ Fofanah, AF Frangi, A Buyx, A Emelie, A Lara, ...
arXiv preprint arXiv:2309.12325, 2023
Layer ensembles: A single-pass uncertainty estimation in deep learning for segmentation
K Kushibar, V Campello, L Garrucho, A Linardos, P Radeva, K Lekadir
International Conference on Medical Image Computing and Computer-Assisted …, 2022
High-resolution synthesis of high-density breast mammograms: application to improved fairness in deep learning based mass detection
L Garrucho, K Kushibar, R Osuala, O Diaz, A Catanese, J Del Riego, ...
Frontiers in Oncology 12, 1044496, 2023
Sharing generative models instead of private data: a simulation study on mammography patch classification
Z Szafranowska, R Osuala, B Breier, K Kushibar, K Lekadir, O Diaz
16th International Workshop on Breast Imaging (IWBI2022) 12286, 169-177, 2022
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