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Cristina Hickman
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2020 – today
- 2024
- [c3]Chloe He, Neringa Karpaviciute, Rishabh Hariharan, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Nikica Zaninovic, Koen Wouters, Thomas Fréour, Cristina Hickman, Francisco Vasconcelos:
Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology. MICCAI (4) 2024: 80-90 - 2022
- [c2]Chloe He, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Koen Wouters, Thomas Fréour, Nikica Zaninovic, Cristina Hickman, Francisco Vasconcelos:
Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression. MICCAI (2) 2022: 732-742 - 2021
- [i1]Chloe He, Raksha Jain, Jérôme Chambost, Céline Jacques, Cristina Hickman:
Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures. CoRR abs/2101.01207 (2021)
2010 – 2019
- 2019
- [j1]Pegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, Jonas Malmsten, Marco Toschi, Pantelis Zisimopoulos, Alexandros Sigaras, Stuart Lavery, Lee A. D. Cooper, Cristina Hickman, Marcos Meseguer, Zev Rosenwaks, Olivier Elemento, Nikica Zaninovic, Iman Hajirasouliha:
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. npj Digit. Medicine 2 (2019) - 2017
- [c1]José Celso Rocha, Diogo Lima Bezerra da Silva, João Guilherme Cândido dos Santos, Lucy Benham Whyte, Cristina Hickman, Stuart Lavery, Marcelo Fábio Gouveia Nogueira:
Using Artificial Intelligence to Improve the Evaluation of Human Blastocyst Morphology. IJCCI 2017: 354-359
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last updated on 2024-11-06 21:33 CET by the dblp team
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