Area of research
Radiology, Nuclear Medicine and Imaging · Genetics
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, COVID-19 diagnosis using AI, and MRI in cancer diagnosis.
Concurrent driver mutations induce distinct tumour morphologies on radiological imaging
Tumor morphology on CT radiomics is largely driven by the local anatomical environment, not the primary tumor type
Quality over quantity: biopsy-anchored CT radiogenomics models outperform all-lesion training in a multi-tumour cohort despite a smaller sample size
Temperature Setting of a Multimodal Generative Artificial Intelligence Model: Association With Accuracy and Quality of Artificial Intelligence–Generated Chest Radiograph Reports