Precision measurements of B -meson decays at ATLAS von Biros, Marek

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Study of the Rare B-meson Decays with the ATLAS Experiment von Biros, Marek

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Enhancing Accuracy in Breast Density Assessment Using Deep Learning: A Multicentric, Multi-Reader Study von Biroš, Marek, Kvak, Daniel, Dandár, Jakub, Hrubý, Robert, Janů, Eva, Atakhanova, Anora, Al-Antari, Mugahed A

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Leveraging Deep Learning Decision-Support System in Specialized Oncology Center: A Multi-Reader Retrospective Study on Detection of Pulmonary Lesions in Chest X-ray Images von Kvak, Daniel, Chromcová, Anna, Hrubý, Robert, Janů, Eva, Biroš, Marek, Pajdaković, Marija, Kvaková, Karolína, Al-Antari, Mugahed A, Polášková, Pavlína, Strukov, Sergei

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Chest X-ray Abnormality Detection by Using Artificial Intelligence: A Single-Site Retrospective Study of Deep Learning Model Performance von Kvak, Daniel, Chromcová, Anna, Biroš, Marek, Hrubý, Robert, Kvaková, Karolína, Pajdaković, Marija, Ovesná, Petra

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Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice von Kvak, Daniel, Chromcová, Anna, Ovesná, Petra, Dandár, Jakub, Biroš, Marek, Hrubý, Robert, Dufek, Daniel, Pajdaković, Marija

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Computer-Aided Approach for BI-RADS Breast Density Classification: Multicentric Retrospective Study von Kvak, Daniel, Biroš, Marek, Hrubý, Robert, Janů, Eva

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Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings Using Deep Learning von Kvak, Daniel, Chromcová, Anna, Ovesná, Petra, Dandár, Jakub, Biroš, Marek, Hrubý, Robert, Dufek, Daniel, Pajdaković, Marija

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Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice von Kvak, Daniel, Chromcová, Anna, Ovesná, Petra, Dandár, Jakub, Biroš, Marek, Hrubý, Robert, Dufek, Daniel, Pajdaković, Marija

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