Quan Mai Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

unknown

2 h-index 2 pubs 40 cited

Research Areas

Advanced Neural Network Applications Medical Imaging Techniques and Applications Functional Brain Connectivity Studies Cardiovascular Function and Risk Factors Bioinformatics and Genomic Networks

Links

Research Group

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OverviewAI-generated summary

Quan Mai's research focuses on the application of advanced computational methods, particularly neural networks, to complex biological and medical datasets. His work includes developing multi-module recurrent convolutional neural networks with Transformer encoders for classifying ECG arrhythmias and creating BrainVGAE, an end-to-end graph neural network model designed for noisy fMRI datasets. Mai has published two papers in this area, accumulating 40 citations and an h-index of 2. He collaborates with researchers from the University of Arkansas at Little Rock and within the University of Arkansas system, including Ukash Nakarmi, Miaoqing Huang, Quang Sang Truong, and Vidhiwar Singh Rathour.

Metrics

  • h-index: 2
  • Publications: 2
  • Citations: 40

Selected Publications

  • BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset (2022) DOI
  • Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification (2021) DOI

Collaborators

Researchers in the database who share publications

Ukash Nakarmi University of Arkansas at Little Rock 1 shared publication Miaoqing Huang University of Arkansas at Fayetteville 1 shared publication Quang Sang Truong University of Arkansas at Fayetteville 1 shared publication Vidhiwar Singh Rathour University of Arkansas at Fayetteville 1 shared publication

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