| 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 | 5714 | 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 | 2758 | 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 | 386 | 2020 |
| Retinal vessel segmentation based on fully convolutional neural networks A Oliveira, S Pereira, CA Silva Expert Systems with Applications 112, 229-242, 2018 | 301 | 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 | 281 | 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 | 171 | 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 | 153 | 2018 |
| Artificial intelligence–powered spatial analysis of tumor-infiltrating lymphocytes as complementary biomarker for immune checkpoint inhibition in non–small-cell lung cancer S Park, CY Ock, H Kim, S Pereira, S Park, M Ma, S Choi, S Kim, S Shin, ... Journal of Clinical Oncology 40 (17), 1916, 2022 | 126 | 2022 |
| 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 | 124 | 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 | 105 | 2018 |
| Hierarchical brain tumour segmentation using extremely randomized trees A Pinto, S Pereira, D Rasteiro, CA Silva Pattern Recognition 82, 105-117, 2018 | 104 | 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 | 85 | 2019 |
| Automatic Brain Tissue Segmentation of Multi-sequence MR images using Random Decision Forests S Pereira, J Festa, JA Mariz, N Sousa, CA Silva | 81 | 2013 |
| 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 | 65 | 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 | 63 | 2016 |
| Benchmarking Self-Supervised Learning on Diverse Pathology Datasets M Kang, H Song, S Park, D Yoo, S Pereira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 62 | 2023 |
| 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 | 49 | 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 | 44 | 2018 |
| Random decision forests for automatic brain tumor segmentation on multi-modal MRI images A Pinto, S Pereira, H Dinis, CA Silva, DMLD Rasteiro 2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG), 1-5, 2015 | 40 | 2015 |
| 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 | 37 | 2018 |
Carlos A. SilvaUniversidade do Minho在 dei.uminho.pt 的电子邮件经过验证
