José Celso Rocha

发表

Descriptor : Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination

José Celso Rocha, Felipe José Passalia, Felipe Delestro Matos, 2017 .

Artificial intelligence assessment of time-lapse images can predict with 77% accuracy whether a human embryo capable of achieving a pregnancy will miscarry

José Celso Rocha, Rishabh Hariharan, Peter He, 2019, Fertility and Sterility.

Potential Use of Smartphone as a Tool to Capture Embryo Digital Images from Stereomicroscope and to Evaluate Them by an Artificial Neural Network

José Celso Rocha, Maria Beatriz Takahashi, Marcelo Fábio Gouveia Nogueira, 2017, CHIRA.

A method using artificial neural networks to morphologically assess mouse blastocyst quality

José Celso Rocha, Felipe Delestro Matos, Marcelo Fábio Gouveia Nogueira, 2014, Journal of animal science and technology.

Brewing process optimization by artificial neural network and evolutionary algorithm approach

José Celso Rocha, Maria Beatriz Takahashi, Henrique Coelho de Oliveira, 2019, Journal of Food Process Engineering.

Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive data

José Celso Rocha, Marcelo Fábio Gouveia Nogueira, Eleonora Inácio Fernandez, 2020, Journal of Assisted Reproduction and Genetics.

Is there any room to improve embryo selection? artificial intelligence technology applied for ive birth prediction on blastocysts

José Celso Rocha, Marcos Meseguer, M. Toschi, 2019, Fertility and Sterility.

Using Artificial Intelligence to Improve the Evaluation of Human Blastocyst Morphology

José Celso Rocha, Marcelo Fábio Gouveia Nogueira, Cristina Hickman, 2017, IJCCI.

Artificial intelligence meets the same challenges as humans in morphological classification of bovine blastocysts

José Celso Rocha, Felipe Delestro Matos, Marcelo Fábio Gouveia Nogueira, 2014 .

Utilização de redes neurais artificiais para a determinação do número de refeições diárias de um restaurante universitário

José Celso Rocha, Felipe Delestro Matos, Fernando Frei, 2011 .

Distinct Sources of a Bovine Blastocyst Digital Image Do not Produce the Same Classification by a Previously Trained Software Using Artificial Neural Network

José Celso Rocha, Maria Beatriz Takahashi, Marcelo Fábio Gouveia Nogueira, 2017, CHIRA.

Cluster Analysis and Artificial Neural Network on the Superovulatory Response Prediction in Mice

José Celso Rocha, Marcelo Fábio Gouveia Nogueira, Fernando Frei, 2012, BIOSTEC 2012.

Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens

José Celso Rocha, Marcelo Fábio Gouveia Nogueira, Diogo T. da Silva, 2018, Sensors.

A Method Based on Artificial Intelligence To Fully Automatize The Evaluation of Bovine Blastocyst Images

José Celso Rocha, Felipe José Passalia, Felipe Delestro Matos, 2017, Scientific Reports.

Use of ultraviolet–visible spectrophotometry associated with artificial neural networks as an alternative for determining the water quality index

José Celso Rocha, Eutimio Gustavo Fernández Núñez, E. G. F. Núñez, 2018, Environmental Monitoring and Assessment.

Artificial intelligence approach based on near-infrared spectral data for monitoring of solid-state fermentation

José Celso Rocha, Felipe José Passalia, Rondinelli Donizetti Herculano, 2016 .