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Michela Destito

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Journal Articles

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2025
[j2]
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  dblp key:
  - journals/cmpb/PisaniDRPCESA25
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  persistent URL:
  - https://dblp.org/rec/journals/cmpb/PisaniDRPCESA25
Noemi Pisani, Michela Destito, Carlo Ricciardi, Maria Teresa Pellecchia, Mario Cesarelli, Fabrizio Esposito, Maria Francesca Spadea, Francesco Amato:
Repeatability of radiomic features from brain T1-W MRI after image intensity normalization: Implications for longitudinal studies on structural neurodegeneration. Comput. Methods Programs Biomed. 265: 108738 (2025)
2023
[j1]
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  dblp key:
  - journals/cars/SheMDSLASEFFCM23
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  persistent URL:
  - https://dblp.org/rec/journals/cars/SheMDSLASEFFCM23
Ziyu She, Aldo Marzullo, Michela Destito, Maria Francesca Spadea, Riccardo Leone, Nicoletta Anzalone, Sara Steffanoni, Federico Erbella, Andrés J. M. Ferreri, Giancarlo Ferrigno, Teresa Calimeri, Elena De Momi:
Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1849-1856 (2023)

Conference and Workshop Papers

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2023
[c2]
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  dblp key:
  - conf/metroxraine/DestitoZSCQBRS23
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  - https://dblp.org/rec/conf/metroxraine/DestitoZSCQBRS23
Michela Destito, Paolo Zaffino, Jolanda Sabatino, Claudia Critelli, Arber Qoku, Florian Buettner, Salvatore De Rosa, Maria Francesca Spadea:
Deep Learning Model for Video-Classification of Echocardiography Images. MetroXRAINE 2023: 479-483
2017
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  dblp key:
  - conf/bibm/FragomeniGDVRI17
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  - https://dblp.org/rec/conf/bibm/FragomeniGDVRI17
Gionata Fragomeni, Lina Teresa Gaudio, Michela Destito, Pierangelo Veltri, Salvatore De Rosa, Ciro Indolfi:
Development and testing of the application based on coronary artery diseases (CAD). BIBM 2017: 1620-1625

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.