Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Radiomics, IDH1, Generalizability theory, and Multinational corporation.
EvoAI enables extreme compression and reconstruction of the protein sequence space
Enhancing MR image segmentation with realistic adversarial data augmentation
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Brain Tumor Segmentation Using an Adversarial Network
Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma
Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma