"False"
Skip to content
umu.se
For students
Library
For staff
Login
Students
All students must change their password since 7 May.
Edit
Edit content at umu.se
Svensk webbplats
Search
Menu
X close menu
Menu
Search
Search within:
Search within:
All
Education
Research
Staff
Student web
News
Other search services
Find courses and programmes
Library search tool
Search the legal framework
Main menu hidden.
Login
Students
All students must change their password since 7 May.
Edit
Edit content at umu.se
Svenska
Attila Simko
Contact
E-mail
attila.simko@umu.se
Phone
Works at
Affiliation
Staff scientist at
Department of Diagnostics and Intervention
Location
Visiting address, view map
Publications
Publications
Research
Research
Mentions
Mentions
2024
ProstateZones: segmentations of the prostatic zones and urethra for the PROSTATEx dataset
Scientific Data
, Springer Nature 2024, Vol. 11, (1)
Holmlund, William; Simkó, Attila; Söderkvist, Karin; et al.
2024
Towards MR contrast independent synthetic CT generation
Zeitschrift für Medizinische Physik
, Elsevier 2024, Vol. 34, (2) : 270-277
Simkó, Attila; Bylund, Mikael; Jönsson, Gustav; et al.
2023
Contributions to deep learning for imaging in radiotherapy
Umeå University medical dissertations
, 2264
Simkó, Attila
2023
Reproducibility of the methods in medical imaging with deep learning
Medical imaging with deep learning 2023
, ML Research Press 2023 : 95-106
Simkó, Attila; Garpebring, Anders; Jonsson, Joakim; et al.
2023
Improving MR image quality with a multi-task model, using convolutional losses
BMC Medical Imaging
, BioMed Central (BMC) 2023, Vol. 23, (1)
Simkó, Attila; Ruiter, Simone; Löfstedt, Tommy; et al.
2022
MRI bias field correction with an implicitly trained CNN
Proceedings of the 5th international conference on medical imaging with deep learning
, ML Research Press 2022 : 1125-1138
Simkó, Attila; Löfstedt, Tommy; Garpebring, Anders; et al.
2021
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR
, Lübeck University; Hamburg University of Technology 2021 : 713-727
Simkó, Attila; Löfstedt, Tommy; Garpebring, Anders; et al.
2019
Localization Network and End-to-End Cascaded U-Nets for Kidney Tumor Segmentation
MICCAI 2019, Shenzhen, China, Oct 13-17, 2019
Vu, Minh; Grimbergen, Guus; Simkó, Attila; et al.
View publications in DiVA
Research groups
Group member
Tufve Nyholm Lab
Published: 08 Jan, 2024
Machine learning can make medical images more reliable
+ Show more
- Show less