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Artificial intelligence-based quantification of pulmonary HRCT (AIqpHRCT) for the evaluation of interstitial lung disease in patients with inflammatory rheumatic diseases

2024 . Hoffmann, Tobias | Teichgräber, Ulf | Lassen-Schmidt, Bianca | RENZ, DIANE | Brüheim, Luis Benedict | Krämer, Martin | Prof. Dr. Oelzner, Peter | Böttcher, Joachim | Güttler, Felix | Wolf, MHBA, Prof. Dr. Gunter | Pfeil, Alexander

Reslice3Dto2D: Introduction of a software tool to reformat 3D volumes into reference 2D slices in cardiovascular magnetic resonance imaging

2024 . Viezzer, Darian | Fenski, Maximilian | Grandy, Thomas Hiroshi | Kuhnt, Johanna | Hadler, Thomas | Lange, Steffen | Schulz-Menger, Jeanette

Echocardiographic assessment of mitral regurgitation: discussion of practical and methodologic aspects of severity quantification to improve diagnostic conclusiveness

2021 . Hagendorff, Andreas | Knebel, Fabian | Helfen, Andreas | Stöbe, Stephan | Haghi, Dariush | Ruf, Tobias | Lavall, Daniel | Knierim, Jan | Altiok, Ertunc | Brandt, Roland | Merke, Nicolas | Ewen, Sebastian

Mitral valve flattening and parameter mapping for patient-specific valve diagnosis

2020 . Lichtenberg, Nils | Eulzer, Pepe | Romano, Gabriele | Brčić, Andreas | Karck, Matthias | Lawonn, Kai | De Simone, Raffaele | Engelhardt, Sandy

Grading of aortic regurgitation by cardiovascular magnetic resonance and pulsed Doppler of the left subclavian artery: harmonizing grading scales between imaging modalities

2020 . Spampinato, Ricardo A. | Jahnke, Cosima | Paetsch, Ingo | Hilbert, Sebastian | Löbe, Susanne | Lindemann, Frank | Strotdrees, Elfriede | Hindricks, Gerhard | Borger, Michael A.