| Brain tumor segmentation using convolutional neural networks in MRI images S Pereira, A Pinto, V Alves, CA Silva IEEE transactions on medical imaging 35 (5), 1240-1251, 2016 | 2984 | 2016 |
| A hitchhiker's guide to diffusion tensor imaging JM Soares, P Marques, V Alves, N Sousa Frontiers in neuroscience 7, 31, 2013 | 1159 | 2013 |
| A Hitchhiker's guide to functional magnetic resonance imaging JM Soares, R Magalhães, PS Moreira, A Sousa, E Ganz, A Sampaio, ... Frontiers in neuroscience 10, 515, 2016 | 345 | 2016 |
| Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment S Pereira, R Meier, V Alves, M Reyes, CA Silva Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018 | 182 | 2018 |
| Deep convolutional neural networks for the segmentation of gliomas in multi-sequence MRI S Pereira, A Pinto, V Alves, CA Silva Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 180 | 2016 |
| ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ... Frontiers in neurology 9, 679, 2018 | 178 | 2018 |
| Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation S Pereira, R Meier, R McKinley, R Wiest, V Alves, CA Silva, M Reyes Medical image analysis 44, 228-244, 2018 | 117 | 2018 |
| Adaptive feature recombination and recalibration for semantic segmentation with fully convolutional networks S Pereira, A Pinto, J Amorim, A Ribeiro, V Alves, CA Silva IEEE transactions on medical imaging 38 (12), 2914-2925, 2019 | 90 | 2019 |
| Stroke lesion outcome prediction based on MRI imaging combined with clinical information A Pinto, R Mckinley, V Alves, R Wiest, CA Silva, M Reyes Frontiers in neurology 9, 1060, 2018 | 85 | 2018 |
| On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: a preliminary study S Pereira, A Oliveira, V Alves, CA Silva 2017 IEEE 5th Portuguese meeting on bioengineering (ENBENG), 1-4, 2017 | 67 | 2017 |
| Automated computer-aided design of cranial implants using a deep volumetric convolutional denoising autoencoder A Morais, J Egger, V Alves World conference on information systems and technologies, 151-160, 2019 | 59 | 2019 |
| Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI S Pereira, V Alves, CA Silva Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 49 | 2018 |
| AutoImplant 2020-first MICCAI challenge on automatic cranial implant design J Li, P Pimentel, A Szengel, M Ehlke, H Lamecker, S Zachow, L Estacio, ... IEEE transactions on medical imaging 40 (9), 2329-2342, 2021 | 46 | 2021 |
| Enhancing clinical MRI perfusion maps with data-driven maps of complementary nature for lesion outcome prediction A Pinto, S Pereira, R Meier, V Alves, R Wiest, CA Silva, M Reyes Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 42 | 2018 |
| Ambient intelligence via multiagent systems in the medical arena JM Machado, V Alves, A Abelha, J Neves CRL Publishing, 2007 | 39 | 2007 |
| Promoting entrepreneurship among informatics engineering students: insights from a case study JM Fernandes, P Afonso, V Fonte, V Alves, AN Ribeiro European Journal of Engineering Education 42 (1), 91-108, 2017 | 35 | 2017 |
| Synthetic skull bone defects for automatic patient-specific craniofacial implant design J Li, C Gsaxner, A Pepe, A Morais, V Alves, G von Campe, J Wallner, ... Scientific Data 8 (1), 36, 2021 | 34 | 2021 |
| Use of phase change materials microcapsules in aerial lime and gypsum mortars SRL Cunha, V Alves, JL Aguiar, VM Ferreira | 33 | 2011 |
| Entropy and organizational performance J Neves, N Maia, G Marreiros, M Neves, A Fernandes, J Ribeiro, I Araújo, ... International conference on hybrid artificial intelligence systems, 206-217, 2019 | 28 | 2019 |
| Combining unsupervised and supervised learning for predicting the final stroke lesion A Pinto, S Pereira, R Meier, R Wiest, V Alves, M Reyes, CA Silva Medical image analysis 69, 101888, 2021 | 27 | 2021 |
Jose Carlos Ferreira Maia NevesProfessor of Computer Science, The University of MinhoVerified email at di.uminho.pt