Attila Simkó

According to our database, Attila Simkó authored at least 6 papers between 2019 and 2025.

Collaborative distances:

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

2025

From Promise to Practice: A Study of Common Pitfalls Behind the Generalization Gap in Machine Learning.

Saeideh Ghanbari Azar, Lorenzo Tronchin, Attila Simkó, Tufve Nyholm, Tommy Löfstedt

Trans. Mach. Learn. Res., 2025

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

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

2019

End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation.

Minh H. Vu, Guus Grimbergen, Attila Simkó, Tufve Nyholm, Tommy Löfstedt

CoRR, 2019