Rachneet Kaur

Orcid: 0000-0002-9223-4546

According to our database1, Rachneet Kaur authored at least 19 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments.
Sensors, November, 2023

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait.
IEEE Trans. Biomed. Eng., July, 2023

Application of Aligned-UMAP to longitudinal biomedical studies.
Patterns, June, 2023

A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach.
IEEE J. Biomed. Health Informatics, 2023

Financial Time Series Forecasting using CNN and Transformer.
CoRR, 2023

From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021
Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning Approach.
IEEE Trans. Biomed. Eng., 2021

Feasibility of VR Technology in Eliciting State Anxiety Changes While Walking in Older Women.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Using Virtual Reality to Examine the Neural and Physiological Anxiety-Related Responses to Balance-Demanding Target-Reaching Leaning Tasks.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data.
CoRR, 2018

Virtual Reality, Visual Cliffs, and Movement Disorders.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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