Bases de datos bibliográficas:

Publicaciones del académico:

• Use of artificial intelligence embryo selection based on static images to predict first-trimester pregnancy loss
• 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

• 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

• 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

• Kinematic Changes in a Mouse Model of Penetrating Hippocampal Injury and Their Recovery After Intranasal Administration of Endometrial Mesenchymal Stem Cell-Derived Extracellular Vesicles
• A System for High-Speed Synchronized Acquisition of Video Recording of Rodents During Locomotion
• Remote Optical Estimation of Respiratory Rate Based on a Deep Learning Human Pose Detector
• Deep Learning for Image to Sound Synthesis
• Evaluating predictive models in reproductive medicine
• Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation
• Kinematic changes in a mouse model of penetrating hippocampal injury and their recovery after intranasal administration of endometrial mesenchymal stem cell-derived …
• A COMPUTER-VISION BASED TOOL FOR THE AUTOMATIC IDENTIFICATION OF BLASTOCYSTS’REGIONS. A STEP CLOSER TO DECODING TIME-LAPSE?
• Deep learning for the classification of genomic signals
• Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning
• Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer
• Fictive scratching patterns in brain cortex-ablated, midcollicular decerebrate, and spinal cats

• Vascular and Intravascular Imaging Trends, Analysis, and Challenges
• Intuitive Slice-based Exploration of Volumetric Medical Data
• Kinematic Locomotion Changes in C57BL/6 Mice Infected with Toxoplasma Strain ME49
• Remote Optical Estimation of Respiratory Rate Based on a Deep Learning Human Pose Detector
• A system for high-speed synchronized acquisition of video recording of rodents during locomotion
• Deep learning for automatic determination of blastocyst embryo development stage
• Development and preliminary validation of an automated static digital image analysis system utilizing machine learning for blastocyst selection
• Artificial vision and machine learning designed to predict PGT-A results
• Differential imaging for the detection of extra-luminal blood perfusion due to the vasa vasorum

• Modeling hind-limb kinematics using a bio-inspired algorithm with a local search 08 Information and Computing Sciences 0801 Artificial Intelligence and Image Processing