Research Presentation Session
RPS 104-2
5 min
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Assessment of pneumothorax detection performance with and without the aid of a deep-learning-based AI algorithm
Alec Baenen, Waukesha, WI / United States
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RPS 104-3
5 min
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Clinical evaluation of a deep learning-based, pneumothorax (PTX) classification AI model on frontal chest x-ray images
Ryo Kurokawa, Tokyo / Japan
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RPS 104-4
5 min
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Diagnostic performance of a new reconstruction technique for dual-energy CT (DECT) lung perfusion: preliminary experience in 58 patients
Martine Remy-Jardin, Lille / France
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RPS 104-5
5 min
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Chest CT at x-ray dose using a novel noise-mitigating projection technique: diagnostic value for detecting pneumonia in immunocompromised patients
Patrik Rogalla, Toronto, ON / Canada
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RPS 104-6
5 min
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Comparison of capability for distinguishing metastatic from non-metastatic lymph nodes among computed DWI (cDWI), actual DWI (aDWI) and PET/CT in non-small cell lung cancer
Yoshiharu Ohno, Toyoake / Japan
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RPS 104-7
5 min
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Mismatch of predicted lung volume and CT-derived lung volume in a general population cohort
Hendrik Joost Wisselink, Groningen / Netherlands
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25 min
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Live Q&A
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