Showing 1 - 3 results of 3 for search 'ProCAncer-I Consortium', query time: 0.02s Refine Results
  1. 1
    Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences

    Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

    Published 2024-11-01
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  2. 2
    Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks

    Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks by Avtantil Dimitriadis, Grigorios Kalliatakis, Richard Osuala, Dimitri Kessler, Simone Mazzetti, Daniele Regge, Oliver Diaz, Karim Lekadir, Dimitrios Fotiadis, Manolis Tsiknakis, Nikolaos Papanikolaou, ProCAncer-I Consortium, Kostas Marias

    Published 2025-03-01
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  3. 3
    Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector

    Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector by Nuno M. Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bireiro, Inês Santiago, Joana Ip, Sara Belião, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, The ProCAncer-I Consortium, Nickolas Papanikolaou

    Published 2025-04-01
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