Area of research
Computer Vision and Pattern Recognition · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medical Image Segmentation Techniques, Image and Signal Denoising Methods, Advanced MRI Techniques and Applications, and Medical Imaging Techniques and Applications.
Functional Connectivity Changes on Resting-State fMRI after Mild Traumatic Brain Injury: A Systematic Review
Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans
<i>MUC5B</i>, telomere length and longitudinal quantitative interstitial lung changes: the MESA Lung Study
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features
Co-Seg: An Image Segmentation Framework Against Label Corruption
Co-Seg: An Image Segmentation Framework Against Label Corruption
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation
Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks
Association Between Long-term Exposure to Ambient Air Pollution and Change in Quantitatively Assessed Emphysema and Lung Function
Workshop on Brain-Machine Interface Systems