Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Computer science, Discriminative model, Segmentation, Artificial intelligence, Magnetic resonance imaging, and Tracking (education).
Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study)
Controllability of Functional and Structural Brain Networks
Dynamic analysis of a delayed population model in a polluted environment with reaction-diffusion and threshold harvesting
The dynamics and near‐optimal controls of a dengue model with threshold policy
Controllability and Robustness of Functional and Structural Connectomic Networks in Glioma Patients
Artificial Intelligence in Oncology: A Topical Collection in 2022
Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction
Finite-time stability of a stochastic tree–grass–water–nitrogen system with impulsive and time-varying delay
Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data
Differentiation of Glioblastoma and Brain Metastases by MRI-Based Oxygen Metabolomic Radiomics and Deep Learning
Analysis of a stochastic reaction–diffusion Alzheimer’s disease system driven by space–time white noise
Stability in distribution for a stochastic Alzheimer’s disease model with reaction diffusion
Bifurcation Analysis and Finite-Time Contraction Stability of an Alzheimer Disease Model
Multimodal region-based transformer for the classification and prediction of Alzheimer's disease
Dynamics of a nonlocal dispersal in‐host viral model with humoral immunity
Finite-time stability and optimal control of a stochastic reaction-diffusion model for Alzheimer’s disease with impulse and time-varying delay
Stationary distribution of a stochastic vegetation–water system with reaction–diffusion
Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization
Dynamic analysis of a soil organic matter and plant system with reaction-diffusion
Identifying the diffusion source of dementia spreading in structural brain networks
An Evolutionary Framework for Real-Time Fraudulent Credit Detection
Large-scale dynamical graph networks applied to brain cancer image data processing
Modeling disease agents transmission dynamics in dementia on heterogeneous spatially embedded networks
<scp>AI</scp>‐Enhanced Diagnosis of Challenging Lesions in Breast <scp>MRI</scp>: A Methodology and Application Primer
Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging
Stationary distribution of a stochastic Alzheimer's disease model
An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals
<scp>Multiobjective</scp> genetic programming for reinforced concrete beam modeling
Modeling disease spreading process induced by disease agent mobility in Dementia networks
Detection and isolation of black hole attack in mobile ad hoc networks - a review