Dr. Harshit S. Parmar Profile

Dr. Harshit S. Parmar

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Publications (4)

SPIE Journal Paper | 16 August 2021

Visualizing temporal brain-state changes for fMRI using t-distributed stochastic neighbor embedding

Harshit Parmar, Brian Nutter, Rodney Long, Sameer Antani, Sunanda Mitra

JMI, Vol. 8, Issue 04, 046001, (August 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.4.046001

KEYWORDS: Visualization, Functional magnetic resonance imaging, Brain, Stochastic processes, Principal component analysis, Signal to noise ratio, Neuroimaging, Hemodynamics, Magnetic resonance imaging, Interference (communication)

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SPIE Journal Paper | 27 October 2020 Open Access

Spatiotemporal feature extraction and classification of Alzheimer’s disease using deep learning 3D-CNN for fMRI data

Harshit Parmar, Brian Nutter, Rodney Long, Sameer Antani, Sunanda Mitra

JMI, Vol. 7, Issue 05, 056001, (October 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.5.056001

KEYWORDS: Functional magnetic resonance imaging, Feature extraction, Alzheimer's disease, Brain, Binary data, Neuroimaging, Convolution, Magnetic resonance imaging, Network architectures, Statistical analysis

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Proceedings Article | 28 February 2020 Presentation + Paper

Deep learning of volumetric 3D CNN for fMRI in Alzheimer’s disease classification

Harshit Parmar, Brian Nutter, Rodney Long, Sameer Antani, Sunanda Mitra

Proceedings Volume 11317, 113170C (2020) https://doi.org/10.1117/12.2549038

KEYWORDS: Functional magnetic resonance imaging, Alzheimer's disease, Brain, Network architectures, Neuroimaging, Brain mapping, Neurological disorders, Feature extraction, Signal detection, Convolutional neural networks

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Proceedings Article | 15 March 2019 Presentation + Paper

Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis

Harshit Parmar, Brian Nutter, Rodney Long, Sameer Antani, Sunanda Mitra

Proceedings Volume 10953, 109531E (2019) https://doi.org/10.1117/12.2512968

KEYWORDS: Functional magnetic resonance imaging, Principal component analysis, Brain, Data analysis, Magnetic resonance imaging, Signal detection, Hemodynamics, Magnetism

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