Ziming Liu

Orcid: 0000-0003-4763-8397

Affiliations:
  • University of Oklahoma, Department of Computer Science, Norman, OK, USA
  • University of Tennessee, Department of Mechanical, Aerospace and Biomedical Engineering, Knoxville, TN, USA (PhD)


According to our database1, Ziming Liu authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans.
CoRR, 2024

Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach.
CoRR, 2024

2023
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind.
Proceedings of the Social Robotics - 14th International Conference, 2022

Estimating Human Attitude during Robot-mediated Referential Communication Tasks.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

2021
A Systematic Review of Robotic Rehabilitation for Cognitive Training.
Frontiers Robotics AI, 2021

A systematic review on hybrid EEG/fNIRS in brain-computer interface.
Biomed. Signal Process. Control., 2021

Camera-Based Remote Photoplethysmography for Physiological Monitoring in Neonatal Intensive Care.
Proceedings of the IEEE International Conference on Signal and Image Processing Applications, 2021

Automatic Diagnosis and Prediction of Cognitive Decline Associated with Alzheimer's Dementia through Spontaneous Speech.
Proceedings of the IEEE International Conference on Signal and Image Processing Applications, 2021

A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021


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