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  1. Article

    Open Access

    Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT

    Emphysema influences the appearance of lung tissue in computed tomography (CT). We evaluated whether this affects lung nodule detection by artificial intelligence (AI) and human readers (HR).

    Nikos Sourlos, GertJan Pelgrim, Hendrik Joost Wisselink… in European Radiology Experimental (2024)

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  2. No Access

    Chapter and Conference Paper

    Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer

    Long-term survival of oropharyngeal squamous cell carcinoma patients (OPSCC) is quite poor. Accurate prediction of Progression Free Survival (PFS) before treatment could make identification of high-risk patien...

    Baoqiang Ma, Jiapan Guo, Alessia De Biase… in Head and Neck Tumor Segmentation and Outco… (2022)

  3. No Access

    Chapter and Conference Paper

    Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images

    One of the primary treatment options for head and neck cancer is (chemo)radiation. Accurate delineation of the contour of the tumors is of great importance in the successful treatment of the tumor and in the p...

    Alessia De Biase, Wei Tang, Nikos Sourlos… in Head and Neck Tumor Segmentation and Outco… (2022)

  4. No Access

    Chapter

    Artificial Intelligence for Opportunistic Chest CT Screening and Prognostication

    Chest CT screening can help in the early detection of lung cancer and save many lives. The same chest CT can also show early signs of cardiovascular disease and chronic obstructive pulmonary disease, together ...

    Nikos Sourlos, Peter M. A. van Ooijen… in Artificial Intelligence in Cardiothoracic … (2022)