Publications by authors named "Kai NaSSenstein"

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Iliofemoropopliteal deep vein thrombosis in a patient with a pelvic horseshoe kidney treated successfully with local intravenous lysis therapy and venous stenting.
Mikolaj Walensi, Basem Abdelrahman, Pavlos Drongitis, Kai Nassenstein, Abdalla Marei

J Vasc Surg Cases Innov Tech· October 2025

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Proximal kissing stent extensions after stent therapy of the proximal external and internal iliac artery at the iliac bifurcation for recurrent claudication and erectile dysfunction.
Mikolaj Walensi, Kai Nassenstein, Jonas Hensel, Gundula Schulz, Fadi Alaid

Radiol Case Rep· September 2025

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Automated Field of View Prescription for Whole-body Magnetic Resonance Imaging Using Deep Learning Based Body Region Segmentations.
Anton Sheahan Quinsten, Christian Bojahr, Kai Nassenstein, Jannis Straus, Mathias Holtkamp

Invest Radiol· September 2025

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Material Fatigue With Endoleak After Endovascular Repair of an Abdominal Aortic Aneurysm.
Mikolaj Walensi, Kai Nassenstein, Johannes N Hoffmann

Dtsch Arztebl Int· July 2025

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Detecting the left atrial appendage in CT localizers using deep learning.
Aydin Demircioğlu, Denise Bos, Anton S Quinsten, Lale Umutlu, Oliver Bruder, Kai Nassenstein

Sci Rep· May 2025

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Hemosuccus pancreaticus - Multidisciplinary therapy for a splenic artery aneurysm, ruptured into the pancreatic duct.
Mikolaj Walensi, David Albers, Dani Dakkak, Wei Meng, Roland Heesen, Kai Nassenstein

Z Gastroenterol· October 2024

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Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans.
Denise Bos, Aydin Demircioğlu, Julia Neuhoff, Johannes Haubold, Sebastian Zensen, Kai Nassenstein

Sci Rep· May 2024

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Impact of AI-Based Post-Processing on Image Quality of Non-Contrast Computed Tomography of the Chest and Abdomen.
Marcel A Drews, Aydin Demircioğlu, Julia Neuhoff, Johannes Haubold, Sebastian Zensen, Kai Nassenstein

Diagnostics (Basel)· March 2024

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Deep learning-based scan range optimization can reduce radiation exposure in coronary CT angiography.
Aydin Demircioğlu, Denise Bos, Ender Demircioğlu, Sahar Qaadan, Tobias Glasmachers, Kai Nassenstein

Eur Radiol· January 2024

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Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning.
Aydin Demircioğlu, Anton S Quinsten, Lale Umutlu, Michael Forsting, Kai Nassenstein

Sci Rep· November 2023

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Patterns of cardiac involvement in different muscular dystrophies assessed by magnetic resonance imaging.
Juliane Goebel, Karolin Schult, Ulrike Schara, Ulrich Neudorf, Michael Forsting, Kai Nassenstein

Acta Radiol· February 2023

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Pediatric age estimation from thoracic and abdominal CT scout views using deep learning.
Aydin Demircioğlu, Kai Nassenstein, Lale Umutlu

Sci Rep· February 2023

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Pediatric age estimation from radiographs of the knee using deep learning.
Aydin Demircioğlu, Anton S Quinsten, Michael Forsting, Lale Umutlu, Kai Nassenstein

Eur Radiol· July 2022

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Diagnostic reference levels for chest computed tomography in children as a function of patient size.
Denise Bos, Sebastian Zensen, Marcel K Opitz, Johannes Haubold, Kai Nassenstein

Pediatr Radiol· July 2022

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Determining the anatomical site in knee radiographs using deep learning.
Anton S Quinsten, Lale Umutlu, Michael Forsting, Kai Nassenstein, Aydin Demircioğlu

Sci Rep· March 2022

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IMAGE QUALITY STUDY OF RADIATION-REDUCED COMBINED CHEST AND ABDOMEN/PELVIS CT COMPARED WITH A STANDARD PROTOCOL.
Denise Bos, Sebastian Zensen, Marcel Opitz, Johannes Haubold, Michael Forsting, Kai Nassenstein

Radiat Prot Dosimetry· November 2021

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A spear to the heart-the accidental discovery of a giant cement embolism in the right heart: a case report.
Moritz Lambers, Oliver Bruder, Heinrich Wieneke, Kai Nassenstein

Eur Heart J Case Rep· November 2021

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QRS-T angle in patients with Hypertrophic Cardiomyopathy - A comparison with Cardiac Magnetic Resonance Imaging.
Christoph Julian Jensen, Moritz Lambers, Behnam Zadeh, Jan Martin Wambach, Kai Nassenstein

Int J Med Sci· September 2021

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Generating Virtual Short Tau Inversion Recovery (STIR) Images from T1- and T2-Weighted Images Using a Conditional Generative Adversarial Network in Spine Imaging.
Johannes Haubold, Aydin Demircioglu, Jens Matthias Theysohn, Axel Wetter, Alexander Radbruch, Kai Nassenstein

Diagnostics (Basel)· August 2021

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Detecting the pulmonary trunk in CT scout views using deep learning.
Aydin Demircioğlu, Magdalena Charis Stein, Moon-Sung Kim, Henrike Geske, Anton S Quinsten, Kai Nassenstein

Sci Rep· May 2021

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Automatic Scan Range Delimitation in Chest CT Using Deep Learning.
Aydin Demircioğlu, Moon-Sung Kim, Magdalena Charis Stein, Nika Guberina, Lale Umutlu, Kai Nassenstein

Radiol Artif Intell· May 2021

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Assessing the Role of Pericardial Fat as a Biomarker Connected to Coronary Calcification-A Deep Learning Based Approach Using Fully Automated Body Composition Analysis.
Lennard Kroll, Kai Nassenstein, Markus Jochims, Sven Koitka, Felix Nensa

J Clin Med· January 2021

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Large Caseating Calcification of the Mitral Valve Ring.
Kai Nassenstein, Moritz Lambers, Oliver Bruder

Dtsch Arztebl Int· March 2020

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Aortocaval Fistula After Fracture of an Aortobiiliac Stent for Abdominal Aortic Aneurysm.
Kai Nassenstein, Ahmed Soliman, Johannes Hoffmann

Dtsch Arztebl Int· June 2019

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Bacterial contamination of automated MRI contrast injectors in clinical routine.
Juliane Goebel, Joerg Steinmann, Evelyn Heintschel von Heinegg, Tobias Hestermann, Kai Nassenstein

GMS Hyg Infect Control· May 2019

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