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Attila Simkó

Attila Tibor Simkó

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2020 – today

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2023
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  - journals/bmcmi/SimkoRLGNBJ23
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Attila Simkó, Simone Ruiter, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Mikael Bylund, Joakim Jonsson:
Improving MR image quality with a multi-task model, using convolutional losses. BMC Medical Imaging 23(1): 148 (2023)
[c3]
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Attila Simkó, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt:
Reproducibility of the Methods in Medical Imaging with Deep Learning. MIDL 2023: 95-106
2022
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Attila Simkó, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson:
MRI bias field correction with an implicitly trained CNN. MIDL 2022: 1125-1138
[i2]
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  - journals/corr/abs-2210-11146
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Attila Simkó, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt:
Reproducibility of the Methods in Medical Imaging with Deep Learning. CoRR abs/2210.11146 (2022)
2021
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Attila Tibor Simkó, Tommy Löfstedt, Anders Garpebring, Mikael Bylund, Tufve Nyholm, Joakim Jonsson:
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning. MIDL 2021: 713-727

2010 – 2019

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2019
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Minh H. Vu, Guus Grimbergen, Attila Simkó, Tufve Nyholm, Tommy Löfstedt:
End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation. CoRR abs/1910.07521 (2019)

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