Area of research
Genetics · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Glioma Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, MRI in cancer diagnosis, and Brain Metastases and Treatment.
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements
Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trial
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study
Temporal muscle thickness is an independent prognostic marker in patients with progressive glioblastoma: translational imaging analysis of the EORTC 26101 trial
The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space
Imaging Criteria in Neuro-oncology
Diagnostic challenges in meningioma
The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space
Radiologic progression of glioblastoma under therapy—an exploratory analysis of AVAglio
VXM01 phase I study in patients with resectable progression of a glioblastoma.
NIMG-75. NECROSIS DURING TREATMENT IS ASSOCIATED WITH WORSE SURVIVAL IN RECURRENT GLIOBLASTOMA PATIENTS – POST HOC IMAGE ANALYSIS OF EORTC 26101
NIMG-51. RADIOLOGIC PHENOTYPES ARE TREATMENT SPECIFIC AND ASSOCIATED WITH SURVIVAL - EXPLORATORY ANALYSIS OF EORTC 26101
Radiogenomics of Glioblastoma: Machine Learning–based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features
Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response
Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma
Relative cerebral blood volume is a potential predictive imaging biomarker of bevacizumab efficacy in recurrent glioblastoma
Nuclear Overhauser Enhancement Imaging of Glioblastoma at 7 Tesla: Region Specific Correlation with Apparent Diffusion Coefficient and Histology
Progression types after antiangiogenic therapy are related to outcome in recurrent glioblastoma
Pseudoprogression in patients with glioblastoma: clinical relevance despite low incidence
Quantification of Tumor Vessels in Glioblastoma Patients Using Time-of-Flight Angiography at 7 Tesla: A Feasibility Study
NI-62 * DCE-MRI DISCRIMINATES BETWEEN RESPONDER AND NON-RESPONDER IN PROGRESSIVE HIGH GRADE GLIOMA PATIENTS UNDERGOING ANTI-ANGIOGENIC TREATMENT
A single-arm phase II Austrian/German multicenter trial on continuous daily sunitinib in primary glioblastoma at first recurrence (SURGE 01-07)