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Implementing a convolution neural network for recognizing poses in images of facesImplementación de una red neuronal de convolución para el reconocimiento de poses en imágenes de rostros
(USFQ PRESS, departamento editorial de la Universidad San Francisco de Quito USFQ, 2014)
Automated Malignant Melanoma Classification Using Convolutional Neural NetworksAutomated Malignant Melanoma Classification Using Convolutional Neural Networks
(Universidad Militar Nueva Granada, 2022)
Estimating body condition score in dairy cows from depth images using convolutional neural networks, transfer learning and model ensembling techniques
(Molecular Diversity Preservation International, 2019-02)
BCS (Body Condition Score) is a method to estimate body fat reserves and accumulated energy balance of cows, placing estimations (or BCS values) in a scale of 1 to 5. Periodically rating BCS of dairy cows is very important ...
Early detection of peritoneal dialysis complications through convolutional neural networks
(Sociedad Argentina de Bioingeniería, 2020-05)
La diálisis peritoneal es una alternativa para pacientes con insuficiencia renal crónica, que requiere el análisis periódico del líquido resultante para la detección precoz de complicaciones. Dicho análisis implica la ...
Decoding kinetic features of hand motor preparation from single-trial EEG using convolutional neural networks
(Wiley Blackwell Publishing, Inc, 2020-01)
Building accurate movement decoding models from brain signals is crucial for many biomedical applications. Predicting specific movement features, such as speed and force, before movement execution may provide additional ...
Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI
(Elsevier, 2019-02)
Objective: This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN). Methods: The general framework consists of one CNN for detecting the LV, and another ...
Automatic feature extraction and classification of Iberian ceramics based on deep convolutional networks
(Elsevier France-editions Scientifiques Medicales Elsevier, 2020-01)
Accurate classification of pottery vessels is a key aspect in several archaeological inquiries, including documentation of changes in style and ornaments, inference of chronological and ethnic groups, trading routes analyses, ...
Automatic detection of building typology using deep learning methods on street level images
(PERGAMON-ELSEVIER SCIENCE LTD, 2020-03-20)
An exposure model is a key component for assessing potential human and economic losses from natural disasters. An exposure model consists of a spatially disaggregated description of the infrastructure and population of a ...