Area of research
Radiology, Nuclear Medicine and Imaging · Biomedical Engineering
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Advanced X-ray and CT Imaging, Medical Imaging Techniques and Applications, and Lung Cancer Diagnosis and Treatment.
Static FET PET radiomics for the differentiation of treatment-related changes from glioma progression
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics
Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer
PO-0981: Results from the Image Biomarker Standardisation Initiative
Defining the biological basis of radiomic phenotypes in lung cancer
PO-0922: Are planning CT radiomics and cone-beam CT radiomics interchangeable?
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability
Radiomics: Extracting more information from medical images using advanced feature analysis