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Chris Schwemmer
Researcher at Siemens
Publications - 31
Citations - 1002
Chris Schwemmer is an academic researcher from Siemens. The author has contributed to research in topics: Medicine & Fractional flow reserve. The author has an hindex of 9, co-authored 23 publications receiving 644 citations.
Papers
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Journal ArticleDOI
A machine-learning approach for computation of fractional flow reserve from coronary computed tomography.
Lucian Mihai Itu,Saikiran Rapaka,Tiziano Passerini,Bogdan Georgescu,Chris Schwemmer,Max Schoebinger,Thomas Flohr,Puneet Sharma,Dorin Comaniciu +8 more
TL;DR: A machine-learning-based model for predicting FFR is presented as an alternative to physics-based approaches, and average execution time was reduced by more than 80 times, leading to near real-time assessment of FFR.
Journal ArticleDOI
Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve Result From the MACHINE Consortium
Adriaan Coenen,Young-Hak Y.-H. Kim,Mariusz Kruk,Christian Tesche,Jakob De Geer,Akira Kurata,Marisa Lubbers,Joost Daemen,Lucian Itu,Saikiran Rapaka,Puneet Sharma,Chris Schwemmer,Anders Persson,Joseph Schoepf,Cezary Kępka,Dong Hyun Yang,Koen Nieman +16 more
TL;DR: In this article, a new machine learning-based CT-FFR algorithm has been developed based on a deep learning model, which can be performed on a regular workstation for detection of functionally obstructive coronary artery disease.
Journal ArticleDOI
Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling
Christian Tesche,Carlo N. De Cecco,Stefan Baumann,Matthias Renker,Tindal W. McLaurin,Taylor M. Duguay,Richard R. Bayer nd,Daniel H. Steinberg,Katharine Grant,Christian Canstein,Chris Schwemmer,Max Schoebinger,Lucian Mihai Itu,Saikiran Rapaka,Puneet Sharma,U. Joseph Schoepf +15 more
TL;DR: The FFRML algorithm performs equally in detecting lesion-specific ischemia when compared with the FFRCFD approach, and both methods outperform accuracy of coronary CT angiography and QCA in the detection of flow-limiting stenosis.
Patent
Synthetic data-driven hemodynamic determination in medical imaging
Lucian Mihai Itu,Tiziano Passerini,Saikiran Rapaka,Puneet Sharma,Chris Schwemmer,Max Schoebinger,Thomas Redel,Dorin Comaniciu +7 more
TL;DR: In this article, a machine-learnt classifier uses features from medical scan data for a particular patient to estimate the blood flow based on mapping of features to flow learned from the synthetic data.
Journal ArticleDOI
Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.
Simon S. Martin,Marly van Assen,Saikiran Rapaka,H. Todd Hudson,Andreas Fischer,Akos Varga-Szemes,Pooyan Sahbaee,Chris Schwemmer,Mehmet Akif Gulsun,Serkan Çimen,Puneet Sharma,Thomas J. Vogl,U. Joseph Schoepf +12 more
TL;DR: The measurement of coronary artery calcium scores (CACS) usually requires the manual input of a human operator to identify and mark calcified coronary lesions in each image section.