| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014 | 5456 | 2014 |
| 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 | 2689 | 2016 |
| On the interpretability of artificial intelligence in radiology: challenges and opportunities M Reyes, R Meier, S Pereira, CA Silva, FM Dahlweid, H Tengg-Kobligk, ... Radiology: artificial intelligence 2 (3), e190043, 2020 | 363 | 2020 |
| Retinal vessel segmentation based on fully convolutional neural networks A Oliveira, S Pereira, CA Silva Expert Systems with Applications 112, 229-242, 2018 | 295 | 2018 |
| MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ... Computational intelligence and neuroscience 2015, 1-1, 2015 | 276 | 2015 |
| 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 | 170 | 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 | 166 | 2018 |
| 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 | 144 | 2018 |
| Brain tumour segmentation based on extremely randomized forest with high-level features A Pinto, S Pereira, H Correia, J Oliveira, DMLD Rasteiro, CA Silva 2015 37th annual international conference of the IEEE engineering in …, 2015 | 120 | 2015 |
| 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 | 102 | 2018 |
| Hierarchical brain tumour segmentation using extremely randomized trees A Pinto, S Pereira, D Rasteiro, CA Silva Pattern Recognition 82, 105-117, 2018 | 100 | 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 | 81 | 2019 |
| Automatic Brain Tissue Segmentation of Multi-sequence MR images using Random Decision Forests S Pereira, J Festa, JA Mariz, N Sousa, CA Silva | 80 | 2013 |
| 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, 384549, 2018 | 79 | 2018 |
| Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls C Barros, CA Silva, AP Pinheiro Artificial Intelligence in Medicine 114, 102039, 2021 | 67 | 2021 |
| 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 |
| Automatic brain tissue segmentation in MR images using random forests and conditional random fields S Pereira, A Pinto, J Oliveira, AM Mendrik, JH Correia, CA Silva Journal of neuroscience methods 270, 111-123, 2016 | 62 | 2016 |
| Aspect-oriented fault tolerance for real-time embedded systems F Afonso, C Silva, N Brito, S Montenegro, A Tavares Proceedings of the 2008 AOSD workshop on Aspects, components, and patterns …, 2008 | 48 | 2008 |
| Augmenting data when training a CNN for retinal vessel segmentation: How to warp? A Oliveira, S Pereira, CA Silva 2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG), 1-4, 2017 | 47 | 2017 |
| 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 | 42 | 2018 |
