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Segmentation of drone-acquired agricultural images using parallel algorithmsSegmentación de imágenes agrícolas adquiridas con drone mediante algoritmos paralelos
(Editorial de la Universidad Tecnica del Norte, 2023)
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 ...
Semi-automatized segmentation method using image-based flow cytometry to study sperm physiology: The case of capacitation-induced tyrosine phosphorylation
(Oxford University Press, 2018-02)
Is image-based flow cytometry a useful tool to study intracellular events in human sperm such as protein tyrosine phosphorylation or signaling processes? Image-based flow cytometry is a powerful tool to study intracellular ...
An iris segmentation using harmony search algorithm and fast circle fitting with blob detection
(Elsevier Sp. z o.o.Poland, 2022)
Fluorescent amorphous distyrylnaphthalene-based polymers: Synthesis, characterization and thin-film nanomolar sensing of nitroaromatics in water
(Multidisciplinary Digital Publishing Institute, 2018-12)
Two new fluorescent segmented conjugated polymers with either 1,4- or 2,6-distyrylnaphthalene chromophores and their model compounds were synthesized and the chemosensing abilities of the polymeric thin films to detect ...
Photoactive thin films of terphenylene-based amorphous polymers: Synthesis, electrooptical properties, and role of photoquenching and inner filter effects in the chemosensing of nitroaromatics
(Elsevier Science Sa, 2019-11)
New photoactive segmented conjugated polymers with terphenylene chromophores were synthesized, and the chemosensing abilities to detect nitroaromatics compounds (NACs) of the polymeric thin films were evaluated in aqueous ...