Automated cell stage predictions in early mouse and human embryos using convolutional neural networks. - Jonas Malmsten; Nikica Zaninovic; Qiansheng Zhan; Zev Rosenwaks; Juan Shan (BHI, 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)

Automated cell division classification in early mouse and human embryos using convolutional neural networks. - Jonas Malmsten; Nikica Zaninovic; Qiansheng Zhan; Zev Rosenwaks; Juan Shan (Neural Comput. Appl., 2021)

Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression. - Chloe He 002; Céline Jacques; Jérôme Chambost; Jonas Malmsten; Koen Wouters; Thomas Fréour; Nikica Zaninovic; Cristina Hickman; Francisco Vasconcelos 001 (MICCAI (2), 2022)

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology. - Chloe He 002; Neringa Karpaviciute; Rishabh Hariharan; Céline Jacques; Jérôme Chambost; Jonas Malmsten; Nikica Zaninovic; Koen Wouters; Thomas Fréour; Cristina Hickman; Francisco Vasconcelos 001 (MICCAI (4), 2024)