Area of research
Cognitive Neuroscience · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Neuroscience, Radiology, Psychology, Fractional flow reserve, and Coronary artery disease.
Volumetric Differences of Thalamic Nuclei are Associated with Post-Trauma Psychopathology
Diagnostic and prognostic performance of artificial intelligence-based fully-automated on-site CT-FFR in patients with CAD
Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup
Precise Identification of Glioblastoma Micro‐Infiltration at Cellular Resolution by Raman Spectroscopy
Controlled release of 1,2-benzisothiazolin-3-one-based anion encapsulated in Mg Al layered double hydroxides for antibacterial and antifouling applications
Medial prefrontal cortex-periaqueductal gray circuit overcomes anxiety-like behavior in male mice following adversity
Mapping progressive damage epicenters in epilepsy with generalized tonic-clonic seizures by causal structural covariance network density (CaSCNd)
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium
MRI features of neuronal intranuclear inclusion disease, combining visual and quantitative imaging investigations
Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease
Prognostic Value of Coronary CT Angiography-Derived Fractional Flow Reserve in Non-obstructive Coronary Artery Disease: A Prospective Multicenter Observational Study
Optimal Measurement Sites of Coronary-Computed Tomography Angiography-derived Fractional Flow Reserve
Machine Learning for the Prevalence and Severity of Coronary Artery Calcification in Nondialysis Chronic Kidney Disease Patients
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Machine Learning–Based Prediction of Small Intracranial Aneurysm Rupture Status Using CTA-Derived Hemodynamics: A Multicenter Study
Coronary artery calcification and risk of mortality and adverse outcomes in patients with COVID-19: a Chinese multicenter retrospective cohort study
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study
The influence of image quality on diagnostic performance of a machine learning–based fractional flow reserve derived from coronary CT angiography
The effect of coronary calcification on diagnostic performance of machine learning–based CT-FFR: a Chinese multicenter study
Generic synthesis of small-sized hollow mesoporous organosilica nanoparticles for oxygen-independent X-ray-activated synergistic therapy
CT FFR for Ischemia-Specific CAD With a New Computational Fluid Dynamics Algorithm
Pifithrin-μ incorporated in gold nanoparticle amplifies pro-apoptotic unfolded protein response cascades to potentiate synergistic glioblastoma therapy
Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease
The effect of prophylactic oral vitamin C use on DNA double-strand breaks after abdominal contrast-enhanced CT: A preliminary study
Effects of high- and low-frequency repetitive transcranial magnetic stimulation on motor recovery in early stroke patients: Evidence from a randomized controlled trial with clinical, neurophysiological and functional imaging assessments
An Aptamer-Based Probe for Molecular Subtyping of Breast Cancer
Sensitive, Real-Time, and In-Vivo Oxygen Monitoring for Photodynamic Therapy by Multifunctional Mesoporous Nanosensors
Disturbed effective connectivity patterns in an intrinsic triple network model are associated with posttraumatic stress disorder