Area of research
Radiology, Nuclear Medicine and Imaging · Pediatrics, Perinatology and Child Health
Research interest
Research interests include Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Fetal and Pediatric Neurological Disorders, and MRI in cancer diagnosis.
The Shape of the Brain's Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study
TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography
A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation
HMGB1-induced activation of ER stress contributes to pulmonary artery hypertension in vitro and in vivo
White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project
Celltrack R-CNN: A Novel End-To-End Deep Neural Network For Cell Segmentation And Tracking In Microscopy Images
Activation of AMPK inhibits Galectin-3-induced pulmonary artery smooth muscle cells proliferation by upregulating hippo signaling effector YAP