7 citations · 17 across the 8 of their papers we have counts for
8 papers
PyDoseRT Photon: Physics-Guided Pencil-Beam Dose Calculation with Neural Priors and Residual Correction for CT and MRI
Attila Simkó, Lukas Zimmermann, Hermann Fuchs +1
We present a hybrid, physics-based analytical pencil-beam (PB) dose engine, augmented by two small frozen neural physics priors, followed by a 3-D convolutional residual-correction…
PyDoseRT Proton: A GPU Pencil-Beam Engine with a Convolutional Residual-Correction Network for Fast Proton Dose Calculation
Lukas Zimmermann, Hermann Fuchs, Attila Simkó +1
Architecture category. Hybrid method: a physics-based analytical pencil-beam (PB) dose engine followed by a 3-D convolutional residual-correction network (RepVGG-U-Net). We address…
MirrorNet: Can Medical Image Anonymization Really Protect Patient Identity?
Attila Simkó
Medical images are routinely de-identified---names, dates, and other metadata removed---and then shared for research, teaching, and public benchmarks under the assumption that this…
A physics-informed, plug-and-play dose engine for gradient-based radiotherapy treatment planning
Attila Simkó, Matthias Kronsteiner, Simon Glatzer +11
Radiotherapy treatment planning remains a time-intensive iterative process requiring expert intervention in commercial treatment planning system (TPS). While machine learning appro…
Reproducibility of the Methods in Medical Imaging with Deep Learning
Attila Simko, Anders Garpebring, Joakim Jonsson +2
Concerns about the reproducibility of deep learning research are more prominent than ever, with no clear solution in sight. The relevance of machine learning research can only be i…
End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation
Minh H. Vu, Guus Grimbergen, Attila Simkó +2
Kidney tumor segmentation emerges as a new frontier of computer vision in medical imaging. This is partly due to its challenging manual annotation and great medical impact. Within…
A Generalized Network for MRI Intensity Normalization
A. Simkó, T. Löfstedt, A. Garpebring +2
Image normalization, the correction for intra-volume inhomogeneities in magnetic resonance imaging (MRI) data has little significance for visual diagnosis, but is a crucial step be…
Comparative testing of dark matter models with 15 HSB and 15 LSB galaxies
E. Kun, Z. Keresztes, A. Simkó +2
We assemble a database of 15 HSB and 15 LSB galaxies, for which surface brightness density and spectroscopic rotation curve data are both available and representative for various m…