79 citations · 123 across the 6 of their papers we have counts for
6 papers
Convolutional module for heart localization and segmentation in MRI
Daniel Lima, Catharine Graves, Marco Gutierrez +2
Magnetic resonance imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Deep learning (DL) models perform several tasks in cardiac MRI (CMR)…
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
Nader Zare, Bruno Brandoli, Mahtab Sarvmaili +2
Maritime autonomous transportation has played a crucial role in the globalization of the world economy. Deep Reinforcement Learning (DRL) has been applied to automatic path plannin…
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
Bruno Brandoli, Gabriel Spadon, Travis Esau +4
Pesticide application has been heavily used in the cultivation of major crops, contributing to the increase of crop production over the past decades. However, their appropriate use…
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Gabriel Spadon, Shenda Hong, Bruno Brandoli +3
Time-series forecasting is one of the most active research topics in artificial intelligence. Applications in real-world time series should consider two factors for achieving relia…
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
Lucas May Petry, Amilcar Soares, Vania Bogorny +2
The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last dec…
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
Jose F Rodrigues-Jr, Gabriel Spadon, Bruno Brandoli +1
Automated medical prognosis has gained interest as artificial intelligence evolves and the potential for computer-aided medicine becomes evident. Nevertheless, it is challenging to…