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Attila Simkó

Observed names: A. Simko, A. Simkó, Attila Simko, Mr Attila Simkó, Simko, Attila, Simkó, A., Simkó, Attila
Institution: Umeå University
ORCID: 0000-0002-6321-8117
Observed ORCID: 0000-0002-6321-8117
OpenAlex ID: A5079971981
Reproducibility of the Methods in Medical Imaging with Deep Learning
2022 · Simko, Attila, Garpebring, Anders, et al. · arXiv (Cornell University) · 10
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Ultra-fast, one-click radiotherapy treatment planning outside a treatment planning system
2025 · Gerd Heilemann, Lukas Zimmermann, et al. · Physics and Imaging in Radiation Oncology · 9
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Towards MR contrast independent synthetic CT generation
2023 · Attila Simkó, Mikael Bylund, et al. · Zeitschrift für Medizinische Physik · 8
A Generalized Network for MRI Intensity Normalization
2019 · Simkó, A., Löfstedt, T., et al. · arXiv (Cornell University) · 8
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ProstateZones – Segmentations of the prostatic zones and urethra for the PROSTATEx dataset
2024 · William Holmlund, Attila Simkó, et al. · Scientific Data · 6
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Localization Network and End-to-End Cascaded U-Nets for Kidney Tumor Segmentation
2019 · Minh H. Vu, Guus Grimbergen, et al. · Kidney Tumor Segmentation Challenge (KiTS) · 5
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A physics-informed, plug-and-play dose engine for gradient-based radiotherapy treatment planning
2025 · Simkó, Attila, Kronsteiner, Matthias, et al. · arXiv (Cornell University) · 4
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Automatic segmentation of the urethra and prostate zones with deep learning on T2-weighted magnetic resonance imaging
2026 · William Holmlund, Attila Simkó, et al. · Physics and Imaging in Radiation Oncology · 2
Improving MR image quality with a multi-task model, using convolutional losses
2023 · Attila Simkó, Simone Ruiter, et al. · BMC Medical Imaging · 2
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Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
2021 · Attila Simkó, Tommy Löfstedt, et al. · DiVA at Umeå University (Umeå University) · 2
Comparative testing of dark matter models with 15 HSB and 15 LSB galaxies
2017 · E. Kun, Z. Keresztes, et al. · Springer Link (Chiba Institute of Technology) · 2
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EURO-PROBE - Maunal segmentations of the prostate and intraprostatic urethra on T2-weighted MRI
2026 · Holmlund, William, Simkó, Attila, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
The Role of Multidisciplinary Expertise in AI Training Data: Quantifying Variability in Prostate and Urethral MRI Segmentation
2026 · Szilvia Totin, Andras Negyessy, et al. · Interdisciplinary Description of Complex Systems · 1
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PyDoseRT Proton: A GPU Pencil-Beam Engine with a Convolutional Residual-Correction Network for Fast Proton Dose Calculation
2026 · Zimmermann, Lukas, Fuchs, Hermann, et al. · arXiv (Cornell University)
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PyDoseRT Photon: Physics-Guided Pencil-Beam Dose Calculation with Neural Priors and Residual Correction for CT and MRI
2026 · Simkó, Attila, Zimmermann, Lukas, et al. · arXiv (Cornell University)
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MirrorNet: Can Medical Image Anonymization Really Protect Patient Identity?
2026 · Simkó, Attila · arXiv (Cornell University)
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EURO-PROBE – Manual segmentations of the prostate and intraprostatic urethra on T2-weighted MRI
2026 · William Holmlund, Attila Simkó, et al. · Scientific Data
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2237 A Differentiable Dose Engine for AI-Driven Radiotherapy
2026 · Attila Simkó, Minh Vu, et al. · Radiotherapy and Oncology
2660 Ground-Truth Comparison of Aleatoric Uncertainty Quantification Methods in Medical Image Segmentation
2026 · Gustav Jönsson, Tommy Löfstedt, et al. · Radiotherapy and Oncology
1251 Physics-informed deep learning for direct prediction of deliverable VMAT treatment plans
2026 · Simon Glatzer, Matthias Kronsteiner, et al. · Radiotherapy and Oncology
From digital chest tomosynthesis to 3D CT
2025 · Attila Simkó, Patrik Sund, et al. · Radiation Protection Dosimetry
663: Reproducibility guideline for deep learning research in medical imaging
2024 · Attila Simkó, Anders Garpebring, et al. · Radiotherapy and Oncology
2191: Automatic segmentation of the prostate, urethra, and prostatic zones
2024 · William Holmlund, Attila Simkó, et al. · Radiotherapy and Oncology
PO-1698 Towards MR contrast independent synthetic CT generation.
2023 · A. Simko, M. Bylund, et al. · Radiotherapy and Oncology
Segmentation of the Prostate and Anatomical Zones in T2w Mri Images Using a 3d U-net
2022 · Mr William Holmlund, Mr Erik Nilsson, et al. · Physica Medica
Works count: 29
Citation count: 61
H-index: 5
I10-index: 1
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