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Jonas Malmsten
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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
- [j2]Jonas Malmsten
Automated cell division classification in early mouse and human embryos using convolutional neural networks. Neural Comput. Appl. 33(7): 2217-2228 (2021)
2010 – 2019
- 2019
- [j1]Pegah Khosravi
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. npj Digit. Medicine 2 (2019) - [c1]Jonas Malmsten, Nikica Zaninovic, Qiansheng Zhan, Zev Rosenwaks, Juan Shan:
Automated cell stage predictions in early mouse and human embryos using convolutional neural networks. BHI 2019: 1-4
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