Using Artificial Intelligence to Improve the Evaluation of Human Blastocyst Morphology. - José Celso Rocha; Diogo Lima Bezerra da Silva; João Guilherme Cândido dos Santos; Lucy Benham Whyte; Cristina Hickman; Stuart Lavery; Marcelo Fábio Gouveia Nogueira (IJCCI, 2017)

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)

Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures. - Chloe He 002; Raksha Jain; Jérôme Chambost; Céline Jacques; Cristina Hickman (CoRR, 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)

Decoupling Implantation Prediction and Embryo Ranking in Machine Learning: The Impact of Clinical Data and Discarded Embryos. - Itay Erlich; Sotirios H. Saravelos; Cristina Hickman; Assaf Ben-Meir; Iris Har-Vardi; James A. Grifo; Semra Kahraman; Assaf Zaritsky (Adv. Intell. Syst., 2024)