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Kaisar Kushibar
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Year
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
17742018
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
4152019
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
1122018
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
982020
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
942021
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
592021
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
502019
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
462022
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
442019
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
36*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
282018
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
232022
Face recognition using artificial neural networks in parallel architecture
B Omarov, A Suliman, K Kushibar
212016
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
172023
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
142021
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
11*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
112022
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
72023
Transductive transfer learning for domain adaptation in brain magnetic resonance image segmentation
K Kushibar, M Salem, S Valverde, À Rovira, J Salvi, A Oliver, X Lladó
Frontiers in Neuroscience 15, 608808, 2021
72021
A hybrid SLAM and object recognition system for pepper robot
P Ardón, K Kushibar, S Peng
arXiv preprint arXiv:1903.00675, 2019
72019
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Articles 1–20