A machine-learning approach for computation of fractional flow reserve from coronary computed tomography von Itu, Lucian, Rapaka, Saikiran, Passerini, Tiziano, Georgescu, Bogdan, Schwemmer, Chris, Schoebinger, Max, Flohr, Thomas, Sharma, Puneet, Comaniciu, Dorin

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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling von Tesche, Christian, De Cecco, Carlo N, Baumann, Stefan, Renker, Matthias, McLaurin, Tindal W, Duguay, Taylor M, Bayer, 2nd, Richard R, Steinberg, Daniel H, Grant, Katharine L, Canstein, Christian, Schwemmer, Chris, Schoebinger, Max, Itu, Lucian M, Rapaka, Saikiran, Sharma, Puneet, Schoepf, U Joseph

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Machine Learning and Coronary Artery Calcium Scoring von Lee, Heon, Martin, Simon, Burt, Jeremy R., Bagherzadeh, Pooyan Sahbaee, Rapaka, Saikiran, Gray, Hunter N., Leonard, Tyler J., Schwemmer, Chris, Schoepf, U. Joseph

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Sex differences in machine learning computed tomography-derived fractional flow reserve von Al Rifai, Mahmoud, Ahmed, Ahmed Ibrahim, Han, Yushui, Saad, Jean Michel, Alnabelsi, Talal, Nabi, Faisal, Chang, Su Min, Cocker, Myra, Schwemmer, Chris, Ramirez-Giraldo, Juan C., Zoghbi, William A., Mahmarian, John J., Al-Mallah, Mouaz H.

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Aortic root evaluation prior to transcatheter aortic valve implantation-Correlation of manual and semi-automatic measurements von Horehledova, Barbora, Mihl, Casper, Schwemmer, Chris, Hendriks, Babs M F, Eijsvoogel, Nienke G, Kietselaer, Bastiaan L J H, Wildberger, Joachim E, Das, Marco

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Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation von Ciușdel, Costin Florian, Itu, Lucian Mihai, Cimen, Serkan, Wels, Michael, Schwemmer, Chris, Fortner, Philipp, Seitz, Sebastian, Andre, Florian, Buß, Sebastian Johannes, Sharma, Puneet, Rapaka, Saikiran

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Interoperator reliability of an on-site machine learning-based prototype to estimate CT angiography-derived fractional flow reserve von Han, Yushui, Ahmed, Ahmed Ibrahim, Schwemmer, Chris, Cocker, Myra, Alnabelsi, Talal S, Saad, Jean Michel, Ramirez Giraldo, Juan C, Al-Mallah, Mouaz H

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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium von Coenen, Adriaan, Kim, Young-Hak, Kruk, Mariusz, Tesche, Christian, De Geer, Jakob, Kurata, Akira, Lubbers, Marisa L, Daemen, Joost, Itu, Lucian, Rapaka, Saikiran, Sharma, Puneet, Schwemmer, Chris, Persson, Anders, Schoepf, U Joseph, Kepka, Cezary, Hyun Yang, Dong, Nieman, Koen

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CONRAD—A software framework for cone-beam imaging in radiology von Maier, Andreas, Hofmann, Hannes G., Berger, Martin, Fischer, Peter, Schwemmer, Chris, Wu, Haibo, Müller, Kerstin, Hornegger, Joachim, Choi, Jang-Hwan, Riess, Christian, Keil, Andreas, Fahrig, Rebecca

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INTER-OPERATOR RELIABILITY OF AN ONSITE MACHINE LEARNING-BASED PROTOTYPE TO ESTIMATE CT ANGIOGRAPHY-DERIVED FRACTIONAL FLOW RESERVE von Han, Yushui, Ahmed, Ahmed Ibrahim, Schwemmer, Chris, Cocker, Myra, Alnabelsi, Talal, Giraldo, Juan Carlos Ramirez, Al-Mallah, Mouaz

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PROGNOSTIC CONCORDANCE OF COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE AND MYOCARDIAL PERFUSION IMAGING IN PATIENTS WITH SUSPECTED CORONARY ARTERY DISEASE von Ahmed, Ahmed Ibrahim, Han, Yushui, Saad, Jean Michel, Rifai, Mahmoud Al, Cocker, Myra, Schwemmer, Chris, Giraldo, Juan Carlos Ramirez, Nabi, Faisal, Al-Mallah, Mouaz H.

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Evaluation of a Deep Learning–Based Automated CT Coronary Artery Calcium Scoring Algorithm von Martin, Simon S., van Assen, Marly, Rapaka, Saikiran, Hudson, H. Todd, Fischer, Andreas M., Varga-Szemes, Akos, Sahbaee, Pooyan, Schwemmer, Chris, Gulsun, Mehmet A., Cimen, Serkan, Sharma, Puneet, Vogl, Thomas J., Schoepf, U. Joseph

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Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes von Aquino, Gilberto J, Abadia, Andres F, Schoepf, U Joseph, Emrich, Tilman, Yacoub, Basel, Kabakus, Ismail, Violette, Alexis, Wiley, Courtney, Moreno, Andreina, Sahbaee, Pooyan, Schwemmer, Chris, Bayer, 2nd, Richard R, Varga-Szemes, Akos, Steinberg, Daniel, Amoroso, Nicholas, Kocher, Madison, Waltz, Jeffrey, Ward, Thomas J, Burt, Jeremy R

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PROGNOSTIC VALUE OF COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE COMPARISON WITH MYOCARDIAL PERFUSION IMAGING von Ahmed, Ahmed Ibrahim, Han, Yushui, Nabi, Faisal, Chang, Su Min, Alnabelsi, Talal, Cocker, Myra, Schwemmer, Chris, Zoghbi, William, Mahmarian, John, Al-Mallah, Mouaz

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Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset von Winkel, David J, Suryanarayana, V Reddappagari, Ali, A Mohamed, Görich, Johannes, Buß, Sebastian Johannes, Mendoza, Axel, Schwemmer, Chris, Sharma, Puneet, Schoepf, U Joseph, Rapaka, Saikiran

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AI-BASED CARDIAC CHAMBER ANALYSIS FROM NON-CONTRAST, GATED CARDIAC CT von Jacob, Athira, Abdelkarim, Ola, Zook, Salma, Cocker, Myra, Gupta, Prantik, Giraldo, Juan Ramirez, Tran, Diana, Schoebinger, Max, Schwemmer, Chris, Gulsun, Mehmet A., Rapaka, Saikiran, Sharma, Puneet, Chang, Su Min

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AI-BASED GATED NON-CONTRAST CARDIAC CT MID-DIASTOLIC VOLUME ANALYSES COMPARED TO MULTI-PHASE GATED, CONTRAST CT von Abdelkarim, Ola, Jacob, Athira J., Zook, Salma, Cocker, Myra, Gupta, Prantik, Giraldo, Juan R., Tran, Diana, Schoebinger, Max, Schwemmer, Chris, Gulsun, Mehmet A., Sharma, Puneet, Rapaka, Saikiran, Chang, Su Min

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Reply to Liu et al von Itu, Lucian, Rapaka, Saikiran, Passerini, Tiziano, Georgescu, Bogdan, Schwemmer, Chris, Schoebinger, Max, Flohr, Thomas, Sharma, Puneet, Comaniciu, Dorin

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Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging von Ahmed, Ahmed Ibrahim, Han, Yushui, Al Rifai, Mahmoud, Alnabelsi, Talal, Nabi, Faisal, Chang, Su Min, Cocker, Myra, Schwemmer, Chris, Ramirez-Giraldo, Juan C., Kleiman, Neal S., Zoghbi, William A., Mahmarian, John J., Al-Mallah, Mouaz H.

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Fast simulation of x-ray projections of spline-based surfaces using an append buffer von Maier, Andreas, Hofmann, Hannes G, Schwemmer, Chris, Hornegger, Joachim, Keil, Andreas, Fahrig, Rebecca

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