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Kai Nassenstein

Showing results (1-10 of 78) with videos related to

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Magnetic Resonance Imaging|August 19, 2006
Prenatal diagnosis of anasarca in an end-second trimester fetus presenting with sacrococcygeal teratoma by magnetic resonance imagingKai Nassenstein, Bernd Schweiger, Joerg Barkhausen
Onkologie|April 21, 2005
Calcifications in untreated Burkitt's lymphoma of the upper jawKai Nassenstein, Regina Wieland, Bernd Schweiger
Scientific Reports|February 9, 2023
Pediatric age estimation from thoracic and abdominal CT scout views using deep learningAydin Demircioğlu, Kai Nassenstein, Lale Umutlu
Investigative Radiology|September 3, 2009
MR evaluation of left ventricular volumes and function: threshold-based 3D segmentation versus short-axis planimetryKai Nassenstein, Armin de Greiff, Peter Hunold
European Heart Journal. Case Reports|December 3, 2021
A spear to the heart-the accidental discovery of a giant cement embolism in the right heart: a case reportMoritz Lambers, Oliver Bruder, Heinrich Wieneke, et al.
Journal of Clinical Medicine|January 22, 2021
Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification-A Deep Learning Based Approach Using Fully Automated Body Composition AnalysisLennard Kroll, Kai Nassenstein, Markus Jochims, et al.
European Journal of Radiology|December 17, 2013
Preoperative MR-guided wire localization for suspicious breast lesions: comparison of manual and automated software calculated targetingSonja Kinner, Michael Herbrik, Stefan Maderwald, et al.
European Radiology|March 2, 2022
Pediatric age estimation from radiographs of the knee using deep learningAydin Demircioğlu, Anton S Quinsten, Michael Forsting, et al.
Scientific Reports|March 8, 2022
Determining the anatomical site in knee radiographs using deep learningAnton S Quinsten, Lale Umutlu, Michael Forsting, et al.
GMS Hygiene and Infection Control|June 15, 2019
Bacterial contamination of automated MRI contrast injectors in clinical routineJuliane Goebel, Joerg Steinmann, Evelyn Heintschel von Heinegg, et al.
Pageof 8

Showing results (1-10 of 78) with videos related to

Sort By:
Pageof 8
Magnetic Resonance Imaging|August 19, 2006
Prenatal diagnosis of anasarca in an end-second trimester fetus presenting with sacrococcygeal teratoma by magnetic resonance imagingKai Nassenstein, Bernd Schweiger, Joerg Barkhausen
Onkologie|April 21, 2005
Calcifications in untreated Burkitt's lymphoma of the upper jawKai Nassenstein, Regina Wieland, Bernd Schweiger
Scientific Reports|February 9, 2023
Pediatric age estimation from thoracic and abdominal CT scout views using deep learningAydin Demircioğlu, Kai Nassenstein, Lale Umutlu
Investigative Radiology|September 3, 2009
MR evaluation of left ventricular volumes and function: threshold-based 3D segmentation versus short-axis planimetryKai Nassenstein, Armin de Greiff, Peter Hunold
European Heart Journal. Case Reports|December 3, 2021
A spear to the heart-the accidental discovery of a giant cement embolism in the right heart: a case reportMoritz Lambers, Oliver Bruder, Heinrich Wieneke, et al.
Journal of Clinical Medicine|January 22, 2021
Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification-A Deep Learning Based Approach Using Fully Automated Body Composition AnalysisLennard Kroll, Kai Nassenstein, Markus Jochims, et al.
European Journal of Radiology|December 17, 2013
Preoperative MR-guided wire localization for suspicious breast lesions: comparison of manual and automated software calculated targetingSonja Kinner, Michael Herbrik, Stefan Maderwald, et al.
European Radiology|March 2, 2022
Pediatric age estimation from radiographs of the knee using deep learningAydin Demircioğlu, Anton S Quinsten, Michael Forsting, et al.
Scientific Reports|March 8, 2022
Determining the anatomical site in knee radiographs using deep learningAnton S Quinsten, Lale Umutlu, Michael Forsting, et al.
GMS Hygiene and Infection Control|June 15, 2019
Bacterial contamination of automated MRI contrast injectors in clinical routineJuliane Goebel, Joerg Steinmann, Evelyn Heintschel von Heinegg, et al.
Pageof 8