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BMC Cancer|December 3, 2014
Quantitative assessment of the asphericity of pretherapeutic FDG uptake as an independent predictor of outcome in NSCLCIvayla Apostolova, Julian Rogasch, Ralph Buchert, et al.
EJNMMI Research|August 28, 2025
AI-driven body composition monitoring and its prognostic role in mCRPC undergoing lutetium-177 PSMA radioligand therapy: insights from a retrospective single-center analysisTristan Ruhwedel, Julian Rogasch, Markus Galler, et al.
Nuklearmedizin. Nuclear Medicine|September 30, 2016
Detection of obstructive uropathy and assessment of differential renal function using two functional magnetic resonance urography tools. A comparison with diuretic renal scintigraphy in infants and childrenPhilipp Genseke, Julian M M Rogasch, Ingo G Steffen, et al.
EJNMMI Research|January 20, 2026
Optimizing PET/CT protocols: is 60-minute [18 F]F-FDG uptake sufficient for cardiac sarcoidosis?Giulia Metzger, Bettina Heidecker, Jonas Kaufmann, et al.
Radiation Oncology (London, England)|July 31, 2024
Quantitative PSMA-PET parameters in localized prostate cancer: prognostic and potential predictive valueStephanie Bela Andela, Holger Amthauer, Christian Furth, et al.
Current Oncology (Toronto, Ont.)|December 24, 2025
Independent Validation of a Machine Learning Classifier for Predicting Mediastinal Lymph Node Metastases in Non-Small Cell Lung Cancer Using Routinely Obtainable [18F]FDG-PET/CT ParametersAgata Wdowiak, Julian M M Rogasch, Georg L Baumgärtner, et al.
European Journal of Nuclear Medicine and Molecular Imaging|July 30, 2016
The asphericity of the metabolic tumour volume in NSCLC: correlation with histopathology and molecular markersIvayla Apostolova, Kilian Ego, Ingo G Steffen, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 23, 2023
A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [18F]FDG-PET/CT parametersJulian M M Rogasch, Liza Michaels, Georg L Baumgärtner, et al.
European Radiology|November 13, 2015
Dual time point imaging for F18-FDG-PET/CT does not improve the accuracy of nodal staging in non-small cell lung cancer patientsJulian M M Rogasch, Ingo G Steffen, Sandra Riedel, et al.
Lung Cancer (Amsterdam, Netherlands)|May 17, 2021
FDG-PET/CT for pretherapeutic lymph node staging in non-small cell lung cancer: A tailored approach to the ESTS/ESMO guideline workflowJulian M M Rogasch, Nikolaj Frost, Stephanie Bluemel, et al.
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