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Adriano Pinto
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2020 – today
- 2022
- [c6]Inês Rito Lima
, Nuno Leite, Adriano Pinto, Pedro Miguel Pires, Carlos Martins, Nuno Lopes:
eSardine: A General Purpose Platform with Autonomous AI and Explainable Outputs. ICAART (2) 2022: 612-625 - 2021
- [j5]Adriano Pinto
Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning. IEEE Access 9: 26260-26270 (2021) - [j4]Adriano Pinto, Sérgio Pereira
Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Anal. 69: 101888 (2021) - [i4]Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. CoRR abs/2101.00489 (2021) - [i3]Carlos A. Silva, Adriano Pinto, Sérgio Pereira, Ana Lopes:
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation. CoRR abs/2101.00490 (2021) - 2020
- [b1]Adriano Pinto:
Automatic prediction of ischemic stroke from MRI images using Deep Learning. University of Minho, Portugal, 2020 - [c5]Carlos A. Silva, Adriano Pinto, Sérgio Pereira
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 179-188 - [i2]Sérgio Pereira, Adriano Pinto, Joana Amorim, Alexandrine Ribeiro, Victor Alves, Carlos A. Silva:
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks. CoRR abs/2006.11193 (2020)
2010 – 2019
- 2019
- [j3]Sérgio Pereira
Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks. IEEE Trans. Medical Imaging 38(12): 2914-2925 (2019) - [c4]Rui Rua, Marco Couto, Adriano Pinto, Jácome Cunha, João Saraiva:
Towards using Memoization for Saving Energy in Android. CIbSE 2019: 279-292 - 2018
- [j2]Adriano Pinto
Hierarchical brain tumour segmentation using extremely randomized trees. Pattern Recognit. 82: 105-117 (2018) - [c3]Adriano Pinto, Sérgio Pereira
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. MICCAI (3) 2018: 107-115 - [i1]Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction. CoRR abs/1806.04413 (2018) - 2016
- [j1]Sérgio Pereira
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. IEEE Trans. Medical Imaging 35(5): 1240-1251 (2016) - 2015
- [c2]Adriano Pinto, Sérgio Pereira
Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features. EMBC 2015: 3037-3040 - [c1]Sérgio Pereira
Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI. Brainles@MICCAI 2015: 131-143
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