Dr. EDUARDO GERARDO MENDIZABAL RUIZ
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.
Cuerpos académicos:
Biosistemas
Bases de datos bibliográficas:
Publicaciones del académico:
- Can artificial intelligence guided feedback improve embryologists' selection of euploid embryos based on morphology alone?
- FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries
- The Future Use of AI to Improve Accessibility of Assisted Reproductive Technology (ART) in Low- and Middle-Income Countries
- Can AI-guided feedback improve embryologists' selection of euploid embryos based on morphology alone?
- FERTILITY CARE IN LOW-AND MIDDLE-INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low-and middle-income countries
- The Future Use of AI to Improve Accessibility of Assisted Reproductive Technology (ART) in Low-and Middle-Income Countries
- Uncertainty-Aware Shared Control for Vision-Based Micromanipulation
- Autonomous vitrification in an intelligent automated in vitro fertilization and intracytoplasmic sperm injection platform
- A digitally controlled, remotely operated ICSI system: case report of the first live birth
- O-236 Automating day 0 in the IVF laboratory: clinical validation of a three-stage workflow resulting in first pregnancies
- Autonomous denudation in an intelligent automated in vitro fertilization and intracytoplasmic sperm injection platform
- Artificial intelligence in human reproduction
- Centrifuge-Free Sperm Preparation in an Intelligent Automated In Vitro Fertilization and Intracytoplasmic Sperm Injection Platform
- 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
- Computational Method for Tridimensional Reconstruction of Human Blastocysts
- A Method for Automatic Monoplane Angiography Segmentation
- CNNs for ISCI Stage Recognition on Video Sequences
- The Internet of Things in assisted reproduction
- P-093 Single sperm morphokinetic variables during ICSI at the time of sperm aspiration into the microneedle
- Locomotion Outcome Improvement in Mice with Glioblastoma Multiforme after Treatment with Anastrozole
- Automated identification of blastocyst regions at different development stages
- P-241 ‘Augmented intelligence’to possibly shorten euploid identification time: A human-machine interaction study for euploid identification using ERICA, an Artificial …
- 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
- Single-sperm motility analysis during ICSI using an artificial intelligence sperm identification software (SID) and correlation with morphology
- Diseño e implementación de un simulador de inyección intracitoplasmática (ICSI)
- Diseño e implementación de un simulador de inyección intracitoplasmática (ICSI)
- 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?
- P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features
- 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?
- 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