Raw data consistent deep learning‐based field of view extension for dual‐source dual‐energy CT von Maier, Joscha, Erath, Julien, Sawall, Stefan, Fournié, Eric, Stierstorfer, Karl, Kachelrieß, Marc

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Reducing windmill artifacts in clinical spiral CT using a deep learning‐based projection raw data upsampling: Method and robustness evaluation von Magonov, Jan, Maier, Joscha, Erath, Julien, Sunnegårdh, Johan, Fournié, Eric, Stierstorfer, Karl, Kachelrieß, Marc

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Deep learning‐based forward and cross‐scatter correction in dual‐source CT von Erath, Julien, Vöth, Tim, Maier, Joscha, Fournié, Eric, Petersilka, Martin, Stierstorfer, Karl, Kachelrieß, Marc

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Motion compensation for aortic valves using partial angle CT reconstructions von Lebedev, Sergej, Fournié, Eric, Maier, Joscha, Stierstorfer, Karl, Kachelrieß, Marc

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Deep learning‐based coronary artery motion estimation and compensation for short‐scan cardiac CT von Maier, Joscha, Lebedev, Sergej, Erath, Julien, Eulig, Elias, Sawall, Stefan, Fournié, Eric, Stierstorfer, Karl, Lell, Michael, Kachelrieß, Marc

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Deep learning-based extended field of view computed tomography image reconstruction: influence of network design on image estimation outside the scan field of view von Khural, Bhupinder Singh, Baer-Beck, Matthias, Fournié, Eric, Stierstorfer, Karl, Huang, Yixing, Maier, Andreas

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Stack transition artifact removal (STAR) for cardiac CT von Lebedev, Sergej, Fournie, Eric, Stierstorfer, Karl, Kachelrieß, Marc

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“X-Map 2.0” for Edema Signal Enhancement for Acute Ischemic Stroke Using Non–Contrast-Enhanced Dual-Energy Computed Tomography von Taguchi, Katsuyuki, Itoh, Toshihide, Fuld, Matthew K, Fournie, Eric, Lee, Okkyun, Noguchi, Kyo

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Evaluation of novel AI‐based extended field‐of‐view CT reconstructions von Fonseca, Gabriel Paiva, Baer‐Beck, Matthias, Fournie, Eric, Hofmann, Christian, Rinaldi, Ilaria, Ollers, Michel C, Elmpt, Wouter J.C., Verhaegen, Frank

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Method for processing parameters of a machine learning method and reconstruction method von Fournie, Eric

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METHOD FOR PROCESSING PARAMETERS OF A MACHINE-LEARNING METHOD AND RECONSTRUCTION METHOD von FOURNIE, Eric

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Method for motion correction of spectral computed tomography data and an energy-sensitive computed tomography device von Fournie, Eric, Kappler, Steffen

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METHOD FOR MOTION CORRECTION OF SPECTRAL COMPUTED TOMOGRAPHY DATA AND AN ENERGY-SENSITIVE COMPUTED TOMOGRAPHY DEVICE von FOURNIE, Eric, KAPPLER, Steffen

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Method for processing parameters of machine learning method and reconstruction method von FOURNIE ERIC

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Method for generating images by means of a computed tomography device, and computed tomography device von Fournie, Eric, Schmidt, Bernhard, Krauss, Bernhard, Juergens, Markus, Stierstorfer, Karl

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METHOD FOR GENERATING IMAGES BY MEANS OF A COMPUTED TOMOGRAPHY DEVICE, AND COMPUTED TOMOGRAPHY DEVICE von FOURNIE, Eric, STIERSTORFER, Karl, SCHMIDT, Bernhard, KRAUSS, Bernhard, JUERGENS, Markus

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Applications of Malliavin calculus to Monte-Carlo methods in finance. II von Fournié, Eric, Lasry, Jean-Michel, Lebuchoux, Jérôme, Lions, Pierre-Louis

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Applications of Malliavin calculus to Monte Carlo methods in finance von Fournié, Eric, Lasry, Jean-Michel, Lebuchoux, Jérôme, Lions, Pierre-Louis, Touzi, Nizar

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VERFAHREN ZUR BERECHNUNG DER HERZRATENVARIABILITÄT ZUR ANWENDUNG IN EINEM EKG- MONITOR SOWIE EKG-MONITOR MIT EINEM ENTSPRECHENDEN BERECHNUNGSPROGRAMM von FOURNIE, ERIC, MEIER, JAN H

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Method for computing the heartrate variability for use in an ECG-monitor and an ECG-monitor comprising such a computational program von FOURNIE, ERIC, MEIER, JAN H

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