Area of research
Radiology, Nuclear Medicine and Imaging · Cognitive Neuroscience
Research interest
Research interests include Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging, and Photoreceptor and optogenetics research.
The effectiveness of intermittent theta burst stimulation for upper limb motor recovery after stroke: an exploratory randomized controlled trial
The radiomic-clinical model using the SHAP method for assessing the treatment response of whole-brain radiotherapy: a multicentric study
Neuroprotective Effects of a Cholecystokinin Analogue in the 1-Methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine Parkinson’s Disease Mouse Model
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
Effect of Virtual Reality on Postural and Balance Control in Patients with Stroke: A Systematic Literature Review
Protein Prenylation Constitutes an Endogenous Brake on Axonal Growth
Resonance Raman Study of an Anion Channelrhodopsin: Effects of Mutations near the Retinylidene Schiff Base
Proton Transfers in a Channelrhodopsin-1 Studied by Fourier Transform Infrared (FTIR) Difference Spectroscopy and Site-directed Mutagenesis
Comparison of the Structural Changes Occurring during the Primary Phototransition of Two Different Channelrhodopsins from <i>Chlamydomonas</i> Algae
Numerical Simulation and Experimental Study on Light Scattering by Biological Cells with Discrete Dipole Approximation
Network‐based analysis reveals stronger local diffusion‐based connectivity and different correlations with oral language skills in brains of children with high functioning autism spectrum disorders
Conference: NSF Workshop on Hardware-Software Co-design for Neuro-Symbolic Computation
CCF Core: Small: Hardware/Software Co-Design for Sustainability at the Edge
NSF Convergence Accelerator Track D: A Trusted Integrative Model and Data Sharing Platform for Accelerating AI-Driven Health Innovation
Collaborative Research: CNS Core: Medium: Exploiting Synergies Between Machine-Learning Algorithms and Hardware Heterogeneity for High-Performance and Reliable Manycore Computing
FET: Small: RESONANCE: Accelerating Speech/Language Processing through Collective Training using Commodity ReRAM Chips
SHF: Small: Cross-Platform Solutions for Pruning and Accelerating Neural Network Models
XPS: DSD: Collaborative Research: NeoNexus: The Next-generation Information Processing System across Digital and Neuromorphic Computing Domains
CSR: Small: Collaborative Research: GAMBIT: Efficient Graph Processing on a Memristor-based Embedded Computing Platform
SHF: Small: Cross-Platform Solutions for Pruning and Accelerating Neural Network Models
XPS: DSD: Collaborative Research: NeoNexus: The Next-generation Information Processing System across Digital and Neuromorphic Computing Domains
Collaborative Research: SMURFS: Statistical Modeling, SimUlation and Robust Design Techniques For MemriStors
CSR: Small: Collaborative Research: Cross-Layer Design Techniques for Robustness of the Next-Generation Nonvolatile Memories
Collaborative Research: SMURFS: Statistical Modeling, SimUlation and Robust Design Techniques For MemriStors
CAREER: STT-RAM based Memory Hierarchy and Management in Embedded Systems
CSR: Small: Collaborative Research: Cross-Layer Design Techniques for Robustness of the Next-Generation Nonvolatile Memories