Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences. - Julio Silva-Rodríguez; Adrián Colomer; Marcos Meseguer; Valery Naranjo (EUSIPCO, 2019)

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. - Pegah Khosravi; Ehsan Kazemi 001; Qiansheng Zhan; Jonas Malmsten; Marco Toschi; Pantelis Zisimopoulos; Alexandros Sigaras; Stuart Lavery; Lee A. D. Cooper; Cristina Hickman; Marcos Meseguer; Zev Rosenwaks; et al. (npj Digit. Medicine, 2019)

Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques. - Elena Payá-Bosch; Lorena Bori; Adrián Colomer; Marcos Meseguer; Valery Naranjo (Comput. Methods Programs Biomed., 2022)

Unsupervised Prediction of Blastocyst Development from Oocyte Images. - Natalia P. García-de-la-Puente; Elena Payá-Bosch; Lucía Murria; Miguel López-Pérez; Marcos Meseguer; Valery Naranjo (DSA ISC (2), 2024)