Publications by authors named "Sven Koitka"

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Correction to: AI-based body composition score predicts survival after liver transplantation.
Eugen Malamutmann, Friederike Roehrborn, Ksenia Vershinina, Sven Koitka, Derar Jaradat

Langenbecks Arch Surg· November 2025

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AI-based body composition score predicts survival after liver transplantation.
Eugen Malamutmann, Friederike Roehrborn, Ksenia Vershinina, Sven Koitka, Derar Jaradat

Langenbecks Arch Surg· October 2025

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Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis.
Luca Salhöfer, Francesco Bonella, Mathias Meetschen, Lale Umutlu, Michael Forsting, Sven Koitka

J Thorac Imaging· March 2025

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Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence.
Julius Keyl, Philipp Keyl, Grégoire Montavon, René Hosch, Alexander Brehmer, Sven Koitka

Nat Cancer· February 2025

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AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump.
Dieter P Hoyer, Saskia Ting, Nina Rogacka, Sven Koitka, René Hosch

J Pathol Inform· December 2024

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Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging.
Giulia Baldini, René Hosch, Cynthia S Schmidt, Katarzyna Borys, Lennard Kroll, Sven Koitka

Invest Radiol· September 2024

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BOA: A CT-Based Body and Organ Analysis for Radiologists at the Point of Care.
Johannes Haubold, Giulia Baldini, Vicky Parmar, Benedikt Michael Schaarschmidt, Sven Koitka

Invest Radiol· June 2024

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ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset.
Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Sven Koitka

Sci Data· June 2024

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Diabetic foot ulcers segmentation challenge report: Benchmark and analysis.
Moi Hoon Yap, Bill Cassidy, Michal Byra, Ting-Yu Liao, Huahui Yi, Sven Koitka

Med Image Anal· May 2024

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SAROS: A dataset for whole-body region and organ segmentation in CT imaging.
Sven Koitka, Giulia Baldini, Lennard Kroll, Natalie van Landeghem, Olivia B Pollok

Sci Data· May 2024

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Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis.
Dirk Westhölter, Johannes Haubold, Matthias Welsner, Luca Salhöfer, Johannes Wienker, Sven Koitka

Sci Rep· April 2024

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Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management.
Merlin Engelke, Cynthia Sabrina Schmidt, Giulia Baldini, Vicky Parmar, René Hosch, Sven Koitka

Blood· December 2023

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Preoperative Computed Tomography Volumetry and Graft Weight Estimation of Left Lateral Segment in Pediatric Living Donor Liver Transplant.
Martynas Tamulevicius, Arzu Oezcelik, Sven Koitka, Jens M Theysohn, Dieter P Hoyer

Exp Clin Transplant· October 2023

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Predicting Individual Patient Platelet Demand in a Large Tertiary Care Hospital Using Machine Learning.
Merlin Engelke, Christian Martin Brieske, Vicky Parmar, Nils Flaschel, Anisa Kureishi, Sven Koitka

Transfus Med Hemother· August 2023

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FHIR-PYrate: a data science friendly Python package to query FHIR servers.
René Hosch, Giulia Baldini, Vicky Parmar, Katarzyna Borys, Sven Koitka

BMC Health Serv Res· July 2023

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Adipopenia in body composition analysis: a promising imaging biomarker and potential predictive factor for patients undergoing transjugular intrahepatic portosystemic shunt placement.
Georgios Luca Alatzides, Johannes Haubold, Hannah Luisa Steinberg, Sven Koitka, Vicky Parmar

Br J Radiol· June 2023

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Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
René Hosch, Manuel Weber, Miriam Sraieb, Nils Flaschel, Johannes Haubold, Sven Koitka

Eur J Nucl Med Mol Imaging· November 2022

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Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein.
Sven Koitka, Phillip Gudlin, Jens M Theysohn, Arzu Oezcelik, Dieter P Hoyer

Sci Rep· October 2022

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Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity.
René Hosch, Simone Kattner, Marc Moritz Berger, Thorsten Brenner, Johannes Haubold, Sven Koitka

Sci Rep· September 2022

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CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients.
Lennard Kroll, Annie Mathew, Giulia Baldini, René Hosch, Sven Koitka

Sci Rep· August 2022

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Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network.
Johannes Haubold, René Hosch, Lale Umutlu, Axel Wetter, Patrizia Haubold, Sven Koitka

Eur Radiol· August 2021

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Correction to: Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.
Sven Koitka, Lennard Kroll, Eugen Malamutmann, Arzu Oezcelik, Felix Nensa

Eur Radiol· June 2021

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Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.
Sven Koitka, Lennard Kroll, Eugen Malamutmann, Arzu Oezcelik, Felix Nensa

Eur Radiol· April 2021

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Differentiation Between Anteroposterior and Posteroanterior Chest X-Ray View Position With Convolutional Neural Networks.
René Hosch, Lennard Kroll, Felix Nensa, Sven Koitka

Rofo· February 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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