| 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 | 1971 | 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, 2018 | 453 | 2018 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 183 | 2022 |
| 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 | 122 | 2018 |
| Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks A Clerigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó Computers in biology and medicine 115, 103487, 2019 | 110 | 2019 |
| Acute and sub-acute stroke lesion segmentation from multimodal MRI A Clèrigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó Computer methods and programs in biomedicine 194, 105521, 2020 | 90 | 2020 |
| Transfer learning for classification of cardiovascular tissues in histological images C Mazo, J Bernal, M Trujillo, E Alegre Computer methods and programs in biomedicine 165, 69-76, 2018 | 73 | 2018 |
| 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 | 51 | 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 | 47 | 2019 |
| A probabilistic granular tabu search for the distance constrained capacitated vehicle routing problem J Bernal, JW Escobar, JC Paz, R Linfati, G Gatica International Journal of Industrial and Systems Engineering 29 (4), 453-477, 2018 | 45 | 2018 |
| Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review RJ Borchert, T Azevedo, AP Badhwar, J Bernal, M Betts, R Bruffaerts, ... Alzheimer's & Dementia 19 (12), 5885-5904, 2023 | 41 | 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 | 31 | 2018 |
| A granular tabu search algorithm for a real case study of a vehicle routing problem with a heterogeneous fleet and time windows J Bernal, JW Escobar, R Linfati Journal of Industrial Engineering and Management 10 (4), 646-662, 2017 | 31 | 2017 |
| Transparency of artificial intelligence in healthcare: insights from professionals in computing and healthcare worldwide J Bernal, C Mazo Applied Sciences 12 (20), 10228, 2022 | 27 | 2022 |
| A simulated annealing-based approach for a real case study of vehicle routing problem with a heterogeneous fleet and time windows J Bernal, JW Escobar, R Linfati International Journal of Shipping and Transport Logistics 13 (1-2), 185-204, 2021 | 27 | 2021 |
| Automatic characterisation of chars from the combustion of pulverised coals using machine vision D Chaves, L Fernández-Robles, J Bernal, E Alegre, M Trujillo Powder technology 338, 110-118, 2018 | 22 | 2018 |
| A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage J Bernal, M dC Valdés-Hernández, J Escudero, AK Heye, E Sakka, ... NeuroImage 230, 117786, 2021 | 21 | 2021 |
| 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 | 15 | 2021 |
| Assessment of perivascular space filtering methods using a three-dimensional computational model J Bernal, MDC Valdés-Hernández, J Escudero, R Duarte, L Ballerini, ... Magnetic Resonance Imaging 93, 33-51, 2022 | 13 | 2022 |
| A comparison of trajectory granular based algorithms for the location-routing problem with heterogeneous fleet (LRPH) JA Bernal-Moyano, JW Escobar, C Marín-Moreno, R Linfati, G Gatica Dyna 84 (200), 193-201, 2017 | 13 | 2017 |
Xavier LladoFull Professor. ICREA Academia. University of Girona.Email verificata su eia.udg.edu
