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Attila Simkó
Researcher, Department of Diagnostics and Intervention, Umea University
Joined
April 2019
Names
Attila Simkó
(Preferred)
,
Attila Tibor Simko
Emails
****@umu.se
(Confirmed)
Personal Links
Google Scholar
Career & Education History
Researcher
Department of Diagnostics and Intervention,
Umea University
(umu.se)
2024
–
Present
PhD student
Department of Diagnostics and Intervention,
Umea University
(umu.se)
2018
–
2024
Advisors, Relations & Conflicts
No relations added
Expertise
No areas of expertise listed
Publications
PyDoseRT: A physics-informed, plug-and-play dose engine for gradient-based radiotherapy treatment planning
Attila Simkó
,
Matthias Kronsteiner
,
Simon Glatzer
,
Minh Hoang Vu
,
Josef A. Lundman
,
Joakim Jonsson
,
Jörgen Olofsson
,
Kristina Sandgren
,
Wolfgang Lechner
,
Dietmar Georg
,
Tommy Löfstedt
,
Tufve Nyholm
,
Anders Garpebring
,
Gerd Heilemann
MIDL 2026 - Short Papers Poster
Readers:
Everyone
Ultra-fast, one-click radiotherapy treatment planning outside a treatment planning system
Gerd Heilemann
,
Attila Simkó
OpenReview Archive Direct Upload
Readers:
Everyone
ProstateZones – Segmentations of the prostatic zones and urethra for the PROSTATEx dataset
William Holmlund
,
Attila Simkó
,
Karin Söderkvist
,
Péter Palásti
,
Szilvia Tótin
,
Kamilla Kalmár
,
Zsófia Domoki
,
Zsuzsanna Fejes
,
Zsigmond Tamás Kincses
,
Patrik Brynolfsson
,
Tufve Nyholm
MIDL 2025 - Short Papers
Readers:
Everyone
Automating Reproducibility in Medical Imaging with Deep Learning
Attila Simkó
MIDL 2025 - Short Papers
Readers:
Everyone
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
Accepted by TMLR
Readers:
Everyone
Reproducibility of the Methods in Medical Imaging with Deep Learning.
Attila Simkó
,
Anders Garpebring
,
Joakim Jonsson
,
Tufve Nyholm
,
Tommy Löfstedt
Published: 04 Apr 2023, Last Modified: 10 May 2023
MIDL 2023 Oral
Readers:
Everyone
MRI bias field correction with an implicitly trained CNN.
Attila Tibor Simko
,
Tommy Löfstedt
,
Anders Garpebring
,
Tufve Nyholm
,
Joakim Jonsson
Published: 28 Feb 2022, Last Modified: 16 May 2023
MIDL 2022
Readers:
Everyone
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
Attila Tibor Simko
,
Tommy Löfstedt
,
Anders Garpebring
,
Mikael Bylund
,
Tufve Nyholm
,
Joakim Jonsson
Published: 31 Mar 2021, Last Modified: 16 May 2023
MIDL 2021
Readers:
Everyone
Co-Authors
Anders Garpebring
Dietmar Georg
Gerd Heilemann
Joakim Jonsson
Josef A. Lundman
Jörgen Olofsson
Kamilla Kalmár
Karin Söderkvist
Kristina Sandgren
Lorenzo Tronchin
Matthias Kronsteiner
Mikael Bylund
Minh Hoang Vu
Patrik Brynolfsson
Péter Palásti
Saeideh Ghanbari Azar
Simon Glatzer
Szilvia Tótin
Tommy Löfstedt
Tufve Nyholm
William Holmlund
Wolfgang Lechner
Zsigmond Tamás Kincses
Zsuzsanna Fejes
Zsófia Domoki