Area of research
Pulmonary and Respiratory Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Prostate Cancer Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, and Advanced Radiotherapy Techniques.
Outcomes and recurrence pattern analysis of intensity modulated chemoradiotherapy in nasopharyngeal cancer: a retrospective study from Heidelberg University Hospital
Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms
Enhancing the diagnostic capacity of [18F]PSMA-1007 PET/MRI in primary prostate cancer staging with artificial intelligence and semi-quantitative DCE: an exploratory study
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability
Weakly Supervised <scp>MRI</scp> Slice‐Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel‐ and Slice‐Level Annotation: Effect of Increasing Training Set Size
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection
Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection
Binäre schichtweise Tumorklassifikation auf Prostata-MRTs mit Hilfe eines vortrainierten ResNet18