Siemens (United States)
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Deep Learning Diagnosis and Classification of Rotator Cuff Tears on Shoulder MRI
Dana J. Lin, Michael Schwier, Bernhard Geiger et al.
2023 · 55 Zit.
Artificial intelligence
Anna Marielle B. Dy, Daniela Mennickent, E. Castro et al.
2023 · 47 Zit.
Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans
Eli Gibson, Bogdan Georgescu, Pascal Ceccaldi et al.
2022 · 28 Zit.
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru et al.
2022 · 17 Zit.
Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT
Basel Yacoub, Ismail Kabakus, U. Joseph Schoepf et al.
2021 · 16 Zit.
Impact of deep learning architectures on accelerated cardiac T<sub>1</sub> mapping using MyoMapNet
Amine Amyar, Rui Guo, Xiaoying Cai et al.
2022 · 15 Zit.
AUCReshaping: improved sensitivity at high-specificity
Sheethal Bhat, Awais Mansoor, Bogdan Georgescu et al.
2023 · 14 Zit.
From a Workshop to a Framework for Human-Centered Artificial Intelligence
Helmut Degen, Stavroula Ntoa
2021 · 13 Zit.
Privacy-Preserving and Explainable AI for Cardiovascular Imaging
Andrei Puiu, Anamaria Vizitiu, Cosmin Nita et al.
2021 · 11 Zit.
Automatic comprehensive radiological reports for clinical acute stroke MRIs
Chin-Fu Liu, Yi Zhao, Vivek Yedavalli et al.
2023 · 8 Zit.
Clinical Validation of a Deep Learning Algorithm for Automated Coronary Artery Disease Detection and Classification Using a Heterogeneous Multivendor Coronary Computed Tomography Angiography Data Set
Emanuele Muscogiuri, Marly van Assen, Giovanni Tessarin et al.
2024 · 7 Zit.
How to Explain It to Facility Managers? A Qualitative, Industrial User Research Study for Explainability
Helmut Degen, Christof J. Budnik, Kunal Chitre et al.
2021 · 4 Zit.
Concordance and generalization of an AI algorithm with real-world clinical data in the pre-omicron and omicron era
Gülşen Yılmaz, Sevilay Sezer, Aliye Baştuğ et al.
2024 · 3 Zit.
Large-Scale Study on AI’s Impact on Identifying Chest Radiographs with No Actionable Disease in Outpatient Imaging
Awais Mansoor, Ingo Schmuecking, Florin C. Ghesu et al.
2024 · 3 Zit.
Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers
Jimin Kim, Se Won Oh, Ha Young Lee et al.
2025 · 1 Zit.