Kaisar Kushibar
Cited by
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
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), 1-15, 2019
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
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
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
Face recognition using artificial neural networks in parallel architecture
B Omarov, A Suliman, K Kushibar
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, 102704, 2022
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 (3), 477-492, 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), 1-12, 2022
A hybrid SLAM and object recognition system for pepper robot
P Ardón, K Kushibar, S Peng
arXiv preprint arXiv:1903.00675, 2019
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
Ensemble of convolutional neural networks for acute stroke anatomy differentiation
A Clèrigues, S Valverde, J Bernal, K Kushibar, M Cabezas, A Oliver, ...
International MICCAI Brainlesion Workshop, 2018
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, 444, 2021
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, ...
arXiv preprint arXiv:2209.09809, 2022
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
arXiv preprint arXiv:2203.04961, 2022
Deep Learning for Medical Imaging
J Bernal, K Kushibar, A Clèrigues, A Oliver, X Lladó
Deep Learning In Biology And Medicine, 11-54, 2022
The system can't perform the operation now. Try again later.
Articles 1–20