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Daniel Keszthelyi

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2020 – today

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2023
[j1]
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  - electronic edition via DOI (open access)
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  dblp key:
  - journals/neuroimage/BeckersDJBPK23
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  persistent URL:
  - https://dblp.org/rec/journals/neuroimage/BeckersDJBPK23
Abraham B. Beckers, Gerhard S. Drenthen, Jacobus F. A. Jansen, Walter H. Backes, Benedikt A. Poser, Daniel Keszthelyi:
Comparing the efficacy of data-driven denoising methods for a multi-echo fMRI acquisition at 7T. NeuroImage 280: 120361 (2023)
2022
[c3]
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  dblp key:
  - conf/mie/Gaudet-Blavignac22
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  - https://dblp.org/rec/conf/mie/Gaudet-Blavignac22
Christophe Gaudet-Blavignac, Julien Ehrsam, Hugues Turbé, Daniel Keszthelyi, Jamil Zaghir, Christian Lovis:
Deep SNOMED CT Enabled Large Clinical Database About COVID-19. MIE 2022: 317-321
[c2]
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  dblp key:
  - conf/mie/GoldmanMZKLTGRE22
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  - https://dblp.org/rec/conf/mie/GoldmanMZKLTGRE22
Jean-Philippe Goldman, Luc Mottin, Jamil Zaghir, Daniel Keszthelyi, Belinda Lokaj, Hugues Turbé, Julien Gobeill, Patrick Ruch, Julien Ehrsam, Christian Lovis:
Classification of Oncology Treatment Responses from French Radiology Reports with Supervised Machine Learning. MIE 2022: 849-853
[c1]
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  - conf/mie/ZaghirGBKGTLL22
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  - https://dblp.org/rec/conf/mie/ZaghirGBKGTLL22
Jamil Zaghir, Jean-Philippe Goldman, Mina Bjelogrlic, Daniel Keszthelyi, Christophe Gaudet-Blavignac, Hugues Turbé, Belinda Lokaj, Christian Lovis:
Performance of Machine Learning Methods to Classify French Medical Publications. MIE 2022: 874-875

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