Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Advanced Radiotherapy Techniques, and Advanced X-ray and CT Imaging.
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report
Glutamylation of an HIV-1 protein inhibits the immune response by hijacking STING
Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT
18F-FDG PET/CT radiomic analysis for classifying and predicting microvascular invasion in hepatocellular carcinoma and intrahepatic cholangiocarcinoma
Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer
Machine Learning Models for Multiparametric Glioma Grading With Quantitative Result Interpretations
<sup>18</sup>F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia