Publications by authors named "Jonathan Sperl"

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Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CT.
Nicola Fink, Jonathan I Sperl, Johannes Rueckel, Theresa Stüber, Sophia S Goller

Eur Radiol Exp· May 2025

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Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR.
Ramona Schmitt, Christopher L Schlett, Jonathan I Sperl, Saikiran Rapaka, Athira J Jacob

Diagnostics (Basel)· December 2024

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Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial.
Rimma Kondrashova, Filip Klimeš, Till Frederik Kaireit, Katharina May, Jörg Barkhausen, Jonathan Sperl

Sci Rep· November 2024

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Accuracy of a deep learning-based algorithm for the detection of thoracic aortic calcifications in chest computed tomography and cardiovascular surgery planning.
Ruben Saffar, Jonathan I Sperl, Tim Berger, Jana Vojtekova, Maximilian Kreibich

Eur J Cardiothorac Surg· June 2024

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Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms.
Florin Condrea, Saikiran Rapaka, Lucian Itu, Puneet Sharma, Jonathan Sperl

Comput Biol Med· May 2024

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Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT.
Francesca Lo Piccolo, Daniel Hinck, Martin Segeroth, Jonathan Sperl, Joshy Cyriac

Eur J Radiol· November 2023

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Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study.
Basel Yacoub, Akos Varga-Szemes, U Joseph Schoepf, Ismail M Kabakus, Dhiraj Baruah, Jonathan Sperl

AJR Am J Roentgenol· November 2022

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Automated quantification of airway wall thickness on chest CT using retina U-Nets - Performance evaluation and application to a large cohort of chest CTs of COPD patients.
Thomas Weikert, Liene Friebe, Adrian Wilder-Smith, Shan Yang, Jonathan I Sperl

Eur J Radiol· October 2022

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Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort.
Maurice Pradella, Rita Achermann, Jonathan I Sperl, Rainer Kärgel, Saikiran Rapaka

Front Cardiovasc Med· August 2022

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Diagnostic Accuracy and Performance of Artificial Intelligence in Detecting Lung Nodules in Patients With Complex Lung Disease: A Noninferiority Study.
Andres F Abadia, Basel Yacoub, Natalie Stringer, Madalyn Snoddy, Madison Kocher, Jonathan I Sperl

J Thorac Imaging· May 2022

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Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learning.
Maurice Pradella, Thomas Weikert, Jonathan I Sperl, Rainer Kärgel, Joshy Cyriac

Quant Imaging Med Surg· October 2021

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Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance.
Johannes Rueckel, Jonathan I Sperl, Sophia Kaestle, Boj F Hoppe, Nicola Fink

Quant Imaging Med Surg· June 2021

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Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value.
Jordan Chamberlin, Madison R Kocher, Jeffrey Waltz, Madalyn Snoddy, Natalie F C Stringer, Jonathan Sperl

BMC Med· March 2021

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Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography.
Rock H Savage, Marly van Assen, Simon S Martin, Pooyan Sahbaee, Lewis P Griffith, Jonathan I Sperl

J Thorac Imaging· May 2020

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Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing.
Andreas M Fischer, Akos Varga-Szemes, Marly van Assen, L Parkwood Griffith, Pooyan Sahbaee, Jonathan I Sperl

AJR Am J Roentgenol· May 2020

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Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.
Andreas M Fischer, Akos Varga-Szemes, Simon S Martin, Jonathan I Sperl, Pooyan Sahbaee

J Thorac Imaging· May 2020

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A diffusion model-free framework with echo time dependence for free-water elimination and brain tissue microstructure characterization.
Miguel Molina-Romero, Pedro A Gómez, Jonathan I Sperl, Michael Czisch, Philipp G Sämann

Magn Reson Med· November 2018

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Model-based denoising in diffusion-weighted imaging using generalized spherical deconvolution.
Jonathan I Sperl, Tim Sprenger, Ek T Tan, Marion I Menzel, Christopher J Hardy

Magn Reson Med· December 2017

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Distortion correction in diffusion-weighted imaging of the breast: Performance assessment of prospective, retrospective, and combined (prospective + retrospective) approaches.
Ileana Hancu, Seung-Kyun Lee, Keith Hulsey, Robert Lenkinski, Dominic Holland, Jonathan I Sperl

Magn Reson Med· July 2017

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Fourier domain image fusion for differential X-ray phase-contrast breast imaging.
Eduardo Coello, Jonathan I Sperl, Dirk Bequé, Tobias Benz, Kai Scherer

Eur J Radiol· April 2017

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Real valued diffusion-weighted imaging using decorrelated phase filtering.
Tim Sprenger, Jonathan I Sperl, Brice Fernandez, Axel Haase, Marion I Menzel

Magn Reson Med· February 2017

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Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses.
Robert J Young, Ek T Tan, Kyung K Peck, Mehrnaz Jenabi, Sasan Karimi, Jonathan I Sperl

Magn Reson Imaging· February 2017

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Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes.
Tim Sprenger, Jonathan I Sperl, Brice Fernandez, Vladimir Golkov, Ines Eidner

Magn Reson Med· December 2016

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q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
Vladimir Golkov, Alexey Dosovitskiy, Jonathan I Sperl, Marion I Menzel, Michael Czisch

IEEE Trans Med Imaging· May 2016

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Low-dose, phase-contrast mammography with high signal-to-noise ratio.
Lukas B Gromann, Dirk Bequé, Kai Scherer, Konstantin Willer, Lorenz Birnbacher, Jonathan I Sperl

Biomed Opt Express· February 2016

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