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Chapter and Conference Paper
Pointwise Reliability of Machine Learning Models: Application to Cardiovascular Risk Assessment
Machine learning has made significant advances in many areas, particularly in the healthcare domain. However, despite the advances, the implementation of these models in clinical scenarios is still limited due...
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Chapter and Conference Paper
Technical Components Integration Using APIs for Predictive Maintenance in the Context of Industry 4.0 Digital Transformation
Digital Transformation (DT) is essential to support approaches that contribute to sustainability and circularity in different Industry 4.0 application contexts. DT presents several challenges and opportunities...
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Article
Open AccessFeasibility assessment of the Eye Scan Ultrasound System for cataract characterization and optimal phacoemulsification energy estimation: protocol for a pilot, nonblinded and monocentre study
Cataracts are lens opacifications that are responsible for more than half of blindness cases worldwide, and the only treatment is surgical intervention. Phacoemulsification surgery, the most frequently perform...
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Article
A-scan ultrasonic system for real time automatic cataract detection
Cataract is an ocular condition associated to the loss of the normal crystalline lens transparency, and its progression can result in a total loss of vision. The gold standard diagnostic method consists on qua...
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Chapter and Conference Paper
Automatic Segmentation of Ultrasonic Vocalizations in Rodents
Ultrasonic vocalizations studies in rodents have increasingly drawn researchers attention as it have been considered a powerful tool to understand the animals behavior and their interactions in different soci...
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Chapter and Conference Paper
Eye Scan Ultrasound System for Automatic Cataract Detection: From a Preclinical to a Clinical Prototype
Cataract is a pathology associated to the loss of the normal lens transparency, and its progression can result in a total loss of vision. The gold standard diagnostic method consists on qualitative observation...