Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research interests include Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, Cardiac Imaging and Diagnostics, and Advanced MRI Techniques and Applications.
Pericoronary Adipose Tissue Attenuation, Low-Attenuation Plaque Burden, and 5-Year Risk of Myocardial Infarction
Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trial
Sex-Specific Computed Tomography Coronary Plaque Characterization and Risk of Myocardial Infarction
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images
Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections
155 Pericoronary adipose tissue attenuation, low attenuation plaque burden and 5-year risk of myocardial infarction
Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction
Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT