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Sergio Pereira
Sergio Pereira
Lunit Inc.
在 lunit.io 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
57142014
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
27582016
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
3862020
Retinal vessel segmentation based on fully convolutional neural networks
A Oliveira, S Pereira, CA Silva
Expert Systems with Applications 112, 229-242, 2018
3012018
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
2812015
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
1712016
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
1532018
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
1262022
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
1242015
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
1052018
Hierarchical brain tumour segmentation using extremely randomized trees
A Pinto, S Pereira, D Rasteiro, CA Silva
Pattern Recognition 82, 105-117, 2018
1042018
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
852019
Automatic Brain Tissue Segmentation of Multi-sequence MR images using Random Decision Forests
S Pereira, J Festa, JA Mariz, N Sousa, CA Silva
812013
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
652017
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
632016
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
622023
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
492017
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
442018
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
402015
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
372018
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