Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2879188
Abstract: Quantitative analysis of the heart is extremely necessary and significant for detecting and diagnosing heart disease, yet there are still some challenges. In this study, we propose a new end-to-end segmentation-based deep multi-task regression learning… read more here.
Keywords: multi task; task regression; segmentation;
Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2930496
Abstract: Increased growth in the global unmanned aerial vehicles (UAV) (drone) industry has expanded possibilities for fully autonomous UAV applications. A particular application which has in part motivated this research is the use of UAV in… read more here.
Keywords: outdoor environments; unstructured outdoor; task regression; flight ... See more keywords
Multi-Task Regression Model for Predicting Photocatalytic Performance of Inorganic Materials
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DOI: 10.3390/catal15070681
Abstract: As renewable energy technologies advance, identifying efficient photocatalytic materials for water splitting to produce hydrogen has become an important research focus in materials science. This study presents a multi-task regression model (MTRM) designed to predict… read more here.
Keywords: task regression; multi task; regression model; inorganic materials ... See more keywords