Area of research
Pulmonary and Respiratory Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Hepatocellular Carcinoma Treatment and Prognosis, Prostate Cancer Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, and Prostate Cancer Treatment and Research.
Comparing the Prognostic Value of Quantitative Response Assessment Tools and LIRADS Treatment Response Algorithm in Patients with Hepatocellular Carcinoma Following Interstitial High-Dose-Rate Brachytherapy and Conventional Transarterial Chemoembolization
Oncological Safety of MRI-Informed Biopsy Decision-Making in Men With Suspected Prostate Cancer
Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies
Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI
Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI
MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed
Conventional vs. Drug-Eluting Beads Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma—A Propensity Score Weighted Comparison of Efficacy and Safety
Quantitative dual-energy CT as a nondestructive tool to identify indicators for fossilized bone in vertebrate paleontology
Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver
Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model
Comparison of intrahepatic progression patterns of hepatocellular carcinoma and colorectal liver metastases following CT-guided high dose-rate brachytherapy
Diagnostic performance of PI-RADS version 2.1 compared to version 2.0 for detection of peripheral and transition zone prostate cancer
A comprehensive diagnostic approach combining phylogenetic disease bracketing and CT imaging reveals osteomyelitis in a Tyrannosaurus rex
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI
Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features
Molecular Imaging of Extracellular Tumor pH to Reveal Effects of Locoregional Therapy on Liver Cancer Microenvironment
Quantitative Imaging Biomarkers for<sup>90</sup>Y Distribution on Bremsstrahlung SPECT After Resin-Based Radioembolization
Künstliche Intelligenz und Radiomics in der MRT-basierten Prostatadiagnostik