Perfil del usuario

Dr. EDUARDO GERARDO MENDIZABAL RUIZ

gerardo.mendizabal@academicos.udg.mx
Departamento de adscripción: BIOINGENIERIA TRASLACIONAL
Nombramiento: PROFESOR E INVESTIGADOR TITULAR "B"
Categoría: DEFINITIVO

Resumen curricular:

El Dr. Gerardo Mendizabal recibió el título de Ingeniero en Electrónica y Telecomunicaciones en 2003 por el ITESO. En 2007 recibió el grado de Maestro en Computación y Matemáticas Industriales por el Centro de Investigación en Matemáticas y en 2012 obtuvo el grado de Doctor en Ciencias con especialidad en Computación por la Universidad de Houston, TX. Actualmente es profesor investigador titular en el Bioingeniería Traslacional de la Universidad de Guadalajara y director del Laboratorio de Percepción Computacional en donde se llevan a cabo proyectos de investigación relacionados con el aprendizaje máquina y deep learning, la visión computacional, el uso de realidad virtual y aumentada, y el análisis y minería de datos biológicos.

Perfil de Investigador SNII:

Nivel SNII:
I
Área del conocimiento:
VIII. Ingenierías y Desarrollo Tecnológico, y
Campo de investigación:
Ingeniería
Periodo vigente:
1 de enero de 2021 - 31 de diciembre de 2025

Perfil PRODEP:

Inicio de la vigencia:
1 de septiembre de 2022
Fin de la vigencia:
31 de agosto de 2025

Bases de datos bibliográficas:

Publicaciones del académico:

2024 - 10 articulos.
  • Artificial intelligence in human reproduction
  • Robotic sperm preparation in an intelligent automated in vitro fertilization and intracytoplasmic sperm injection platform
  • Robotic Microtool Control in an Intelligent Automated In Vitro Fertilization and Intracytoplasmic Sperm Injection Platform
  • Autonomous Insemination in an Intelligent Automated In Vitro Fertilization and Intracytoplasmic Sperm Injection Platform
  • Egg Preparation in an Intelligent Automated In Vitro Fertilization and Intracytoplasmic Sperm Injection Platform
  • Use of artificial intelligence embryo selection based on static images to predict first-trimester pregnancy loss
  • Robotic command and microtool control within an intelligent automated in vitro fertilization and intracytoplasmic sperm injection platform
  • Optical Coherence Tomography in an Intelligent Automated In Vitro Fertilization and Intracytoplasmic Sperm Injection Platform
  • Multiscale OCT imaging for high-throughput assessment of oocytes and embryos
  • Use of artificial intelligence (AI) embryo selection based on static images to predict first trimester pregnancy loss
2023 - 7 articulos.
2022 - 8 articulos.
  • A Method for Automatic Monoplane Angiography Segmentation
  • CNNs for ISCI Stage Recognition on Video Sequences
  • Computer software (SiD) assisted real-time single sperm selection associated with fertilization and blastocyst formation
  • The location of fragments and degraded zones in blastocysts is associated with ploidy: moving towards explaining an AI-based morphology tool trained on euploidy outcomes
  • 'Augmented intelligence'to possibly shorten euploid identification time: A human-machine interaction study for euploid identification using ERICA, an Artificial Intelligence …
  • P-249 The location of fragments and degraded zones in blastocysts is associated with ploidy: moving towards explaining an AI-based morphology tool trained on euploidy outcomes
  • P-241 ‘Augmented intelligence’to possibly shorten euploid identification time: A human-machine interaction study for euploid identification using ERICA, an Artificial …
  • A lightweight convolutional neural network for pose estimation of a planar model
2021 - 10 articulos.
  • Diseño e implementación de un simulador de inyección intracitoplasmática (ICSI)
  • Improving ERICA's (Embryo Ranking Intelligent Classification Assistant) performance. Should we train an AI to remain static or dynamic, adapting to specific conditions?
  • ERICA's (Embryo Ranking Intelligent Classification Assistant) ranking, based on ploidy prediction, is strongly correlated with pregnancy outcomes
  • ERICA (Embryo Ranking Intelligent Classification Assistant) AI predicts miscarriage in poorly ranked embryos from one static, non-invasive embryo image assessment
  • P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features
  • O-235 ERICA (Embryo Ranking Intelligent Classification Assistant) AI predicts miscarriage in poorly ranked embryos from one static, non-invasive embryo image assessment
  • P–244 ERICA’s (Embryo Ranking Intelligent Classification Assistant) ranking, based on ploidy prediction, is strongly correlated with pregnancy outcomes
  • P–243 Improving ERICA’s (Embryo Ranking Intelligent Classification Assistant) performance. Should we train an AI to remain static or dynamic, adapting to specific conditions?
  • ERICA embryo AI ranking based on ploidy prediction correlates with pregnancy outcomes
  • A Method for Evaluating the Risk of Exposure to COVID-19 by Using Location Data
2020 - 12 articulos.
2019 - 3 articulos.