Adriano Pinto

Orcid: 0000-0001-9397-3722

According to our database1, Adriano Pinto authored at least 12 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
eSardine: A General Purpose Platform with Autonomous AI and Explainable Outputs.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021
Combining unsupervised and supervised learning for predicting the final stroke lesion.
Medical Image Anal., 2021

Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning.
IEEE Access, 2021

2020
Automatic prediction of ischemic stroke from MRI images using Deep Learning
PhD thesis, 2020

Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Towards using Memoization for Saving Energy in Android.
Proceedings of the XXII Iberoamerican Conference on Software Engineering, 2019

2018
Hierarchical brain tumour segmentation using extremely randomized trees.
Pattern Recognit., 2018

Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2016
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
IEEE Trans. Medical Imaging, 2016

2015
Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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