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PubPharm (126)
31
Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer
enthalten in:
European journal of nuclear medicine and molecular imaging
| 2021
von
Kirienko, M.
|
Sollini, M.
|
Corbetta, M.
| +9
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32
Climbing the steps of the evidence-based medicine pyramid : highlights from Annals of Nuclear Medicine 2019
enthalten in:
European journal of nuclear medicine and molecular imaging
| 2021
von
Gelardi, F.
|
Kirienko, M.
|
Sollini, M.
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33
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI
enthalten in:
European journal of nuclear medicine & molecular imaging
| 2021
von
Kirienko, M.
|
Sollini, M.
|
Ninatti, G.
| +7
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34
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI
enthalten in:
European journal of nuclear medicine and molecular imaging
| 2021
von
Kirienko, M.
|
Sollini, M.
|
Ninatti, G.
| +7
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35
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI
enthalten in:
European journal of nuclear medicine and molecular imaging
| 2021
von
Kirienko, M.
|
Sollini, M.
|
Ninatti, G.
| +7
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36
PET/CT radiomics in breast cancer : Mind the step
enthalten in:
Methods (San Diego, Calif.)
| 2021
von
Sollini, M.
|
Cozzi, L.
|
Ninatti, G.
| +4
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37
Increased incidence of interstitial pneumonia detected on [18F]-FDG-PET/CT in asymptomatic cancer patients during COVID-19 pandemic in Lombardy : a casualty or COVID-19 infection?
enthalten in:
European journal of nuclear medicine and molecular imaging
| 2021
von
Setti, L.
|
Bonacina, M.
|
Meroni, R.
| +5
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38
Radiomics and gene expression profile to characterize the disease and predict outcome in patients with lung cancer
enthalten in:
ResearchSquare.com
| 2021
von
Kirienko, M.
|
Sollini, M.
|
Corbetta, M.
| +9
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39
Deep learning in Nuclear Medicine—focus on CNN-based approaches for PET/CT and PET/MR: where do we stand?
enthalten in:
Clinical and translational imaging
| 2021
von
Kirienko, M.
|
Biroli, M.
|
Gelardi, F.
| +3
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40
Deep learning in Nuclear Medicine—focus on CNN-based approaches for PET/CT and PET/MR: where do we stand?
enthalten in:
Clinical and translational imaging
| 2021
von
Kirienko, M.
|
Biroli, M.
|
Gelardi, F.
| +3
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