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Carlos Brito-Loeza

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 23, 2010
On high-order denoising models and fast algorithms for vector-valued imagesCarlos Brito-Loeza, Ke Chen
Computational and Mathematical Methods in Medicine|April 11, 2015
Chagas parasite detection in blood images using AdaBoostVíctor Uc-Cetina, Carlos Brito-Loeza, Hugo Ruiz-Piña
Journal of Imaging|September 26, 2025
From Detection to Motion-Based Classification: A Two-Stage Approach for <i>T. cruzi</i> Identification in Video SequencesKenza Chenni, Carlos Brito-Loeza, Cefa Karabağ, et al.
Applied Optics|May 3, 2014
Total variation regularization cost function for demodulating phase discontinuitiesRicardo Legarda-Saenz, Carlos Brito-Loeza, Arturo Espinosa-Romero
Medical & Biological Engineering & Computing|September 27, 2023
Chagas parasite classification in blood sample images using different machine learning architecturesLavdie Rada, Preet Kumar, Anabel Martin-Gonzalez, et al.
Computer Methods and Programs in Biomedicine|September 14, 2013
An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample imagesRoger Soberanis-Mukul, Víctor Uc-Cetina, Carlos Brito-Loeza, et al.
Medical & Biological Engineering & Computing|March 1, 2022
Effective residual convolutional neural network for Chagas disease parasite segmentationAllan Ojeda-Pat, Anabel Martin-Gonzalez, Carlos Brito-Loeza, et al.
Biomedicines|July 27, 2024
Machine Learning for Predicting Chronic Renal Disease Progression in COVID-19 Patients with Acute Renal Injury: A Feasibility StudyCarlos Gracida-Osorno, Gloria María Molina-Salinas, Roxana Góngora-Hernández, et al.
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Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 23, 2010
On high-order denoising models and fast algorithms for vector-valued imagesCarlos Brito-Loeza, Ke Chen
Computational and Mathematical Methods in Medicine|April 11, 2015
Chagas parasite detection in blood images using AdaBoostVíctor Uc-Cetina, Carlos Brito-Loeza, Hugo Ruiz-Piña
Journal of Imaging|September 26, 2025
From Detection to Motion-Based Classification: A Two-Stage Approach for <i>T. cruzi</i> Identification in Video SequencesKenza Chenni, Carlos Brito-Loeza, Cefa Karabağ, et al.
Applied Optics|May 3, 2014
Total variation regularization cost function for demodulating phase discontinuitiesRicardo Legarda-Saenz, Carlos Brito-Loeza, Arturo Espinosa-Romero
Medical & Biological Engineering & Computing|September 27, 2023
Chagas parasite classification in blood sample images using different machine learning architecturesLavdie Rada, Preet Kumar, Anabel Martin-Gonzalez, et al.
Computer Methods and Programs in Biomedicine|September 14, 2013
An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample imagesRoger Soberanis-Mukul, Víctor Uc-Cetina, Carlos Brito-Loeza, et al.
Medical & Biological Engineering & Computing|March 1, 2022
Effective residual convolutional neural network for Chagas disease parasite segmentationAllan Ojeda-Pat, Anabel Martin-Gonzalez, Carlos Brito-Loeza, et al.
Biomedicines|July 27, 2024
Machine Learning for Predicting Chronic Renal Disease Progression in COVID-19 Patients with Acute Renal Injury: A Feasibility StudyCarlos Gracida-Osorno, Gloria María Molina-Salinas, Roxana Góngora-Hernández, et al.
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