Joakim Jonsson

According to our database, Joakim Jonsson authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Improving MR image quality with a multi-task model, using convolutional losses.

Attila Simkó, Simone Ruiter, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Mikael Bylund, Joakim Jonsson

BMC Medical Imaging, December, 2023

Reproducibility of the Methods in Medical Imaging with Deep Learning.

Attila Simkó, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

ADAS at work: assessing professional bus drivers' experience and acceptance of a narrow navigation system.

Mikael Johansson, Fredrick Ekman, MariAnne Karlsson, Helena Strömberg, Joakim Jonsson

Cogn. Technol. Work., 2022

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network.

Sandeep Kaushik, Mikael Bylund, Cristina Cozzini, Dattesh Shanbhag, Steven F. Petit, Jonathan J. Wyatt, Marion I. Menzel, Carolin M. Pirkl, Bhairav Mehta, Vikas Chauhan, Kesavadas Chandrasekharan, Joakim Jonsson, Tufve Nyholm, Florian Wiesinger, Bjoern H. Menze

CoRR, 2022

MRI bias field correction with an implicitly trained CNN.

Attila Simkó, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning.

Attila Tibor Simkó, Tommy Löfstedt, Anders Garpebring, Mikael Bylund, Tufve Nyholm, Joakim Jonsson

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021