Jonas Malmsten

According to our database, Jonas Malmsten authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology.

Chloe He, Neringa Karpaviciute, Rishabh Hariharan, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Nikica Zaninovic, Koen Wouters, Thomas Fréour, Cristina Hickman, Francisco Vasconcelos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression.

Chloe He, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Koen Wouters, Thomas Fréour, Nikica Zaninovic, Cristina Hickman, Francisco Vasconcelos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

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

2019

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.

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

npj Digit. Medicine, 2019

Automated cell stage predictions in early mouse and human embryos using convolutional neural networks.

Jonas Malmsten, Nikica Zaninovic, Qiansheng Zhan, Zev Rosenwaks, Juan Shan

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019