Area of research
Radiology, Nuclear Medicine and Imaging · Genetics
Research interest
Research interests include Glioma Diagnosis and Treatment, Radiomics and Machine Learning in Medical Imaging, Brain Tumor Detection and Classification, and MRI in cancer diagnosis.
Development and external validation of a prognostic tool for COVID-19 critical disease
Optimizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging
Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
The impact of health literacy on diabetes self-management education
A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies
Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions