Munendra Singh
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View article: Deep-learning Saturation Transfer Magnetic Resonance Fingerprinting (ST-MRF) in Patients with Parkinson’s Disease
Deep-learning Saturation Transfer Magnetic Resonance Fingerprinting (ST-MRF) in Patients with Parkinson’s Disease Open
Parkinson’s disease (PD) is marked by progressive neurodegeneration in the substantia nigra (SN). This study evaluated deep-learning saturation transfer magnetic resonance fingerprinting (ST-MRF) to quantify molecular and microstructural c…
View article: Saturation transfer <scp>MR</scp> fingerprinting for magnetization transfer contrast and <scp>chemical exchange saturation transfer</scp> quantification
Saturation transfer <span>MR</span> fingerprinting for magnetization transfer contrast and <span>chemical exchange saturation transfer</span> quantification Open
Purpose The aim of this study was to develop a saturation transfer MR fingerprinting (ST‐MRF) technique using a biophysics model‐driven deep learning approach. Methods A deep learning–based quantitative saturation transfer framework was pr…
View article: Traditional embroidery revival for sustainability: a systematic literature review and bibliometric analysis
Traditional embroidery revival for sustainability: a systematic literature review and bibliometric analysis Open
This study investigates the revival of traditional embroidery crafts within the context of sustainability, addressing a critical gap in the existing literature. Employing a hybrid methodology that integrates the PRISMA framework and system…
View article: Learning‐based motion artifact correction in the Z‐spectral domain for chemical exchange saturation transfer <scp>MRI</scp>
Learning‐based motion artifact correction in the Z‐spectral domain for chemical exchange saturation transfer <span>MRI</span> Open
Purpose To develop and evaluate a physics‐driven, saturation contrast‐aware, deep‐learning‐based framework for motion artifact correction in CEST MRI. Methods A neural network was designed to correct motion artifacts directly from a Z‐spec…
View article: Fast and motion‐robust saturation transfer MRI with inherent B<sub>0</sub> correction using rosette trajectories and compressed sensing
Fast and motion‐robust saturation transfer MRI with inherent B<sub>0</sub> correction using rosette trajectories and compressed sensing Open
Purpose To implement rosette readout trajectories with compressed sensing reconstruction for fast and motion‐robust CEST and magnetization transfer contrast imaging with inherent correction of B 0 inhomogeneity. Methods A pulse sequence wa…
View article: Unraveling contributions to the Z‐spectrum signal at 3.5 ppm of human brain tumors
Unraveling contributions to the Z‐spectrum signal at 3.5 ppm of human brain tumors Open
Purpose To evaluate the influence of the confounding factors, direct water saturation (DWS), and magnetization transfer contrast (MTC) effects on measured Z‐spectra and amide proton transfer (APT) contrast in brain tumors. Methods High‐gra…
View article: <scp>CEST</scp> and nuclear Overhauser enhancement imaging with deep learning–extrapolated semisolid magnetization transfer reference: Scan‐rescan reproducibility and reliability studies
<span>CEST</span> and nuclear Overhauser enhancement imaging with deep learning–extrapolated semisolid magnetization transfer reference: Scan‐rescan reproducibility and reliability studies Open
Purpose To develop a novel MR physics‐driven, deep‐learning, extrapolated semisolid magnetization transfer reference (DeepEMR) framework to provide fast, reliable magnetization transfer contrast (MTC) and CEST signal estimations, and to de…
View article: Bloch simulator–driven deep recurrent neural network for magnetization transfer contrast <scp>MR</scp> fingerprinting and <scp>CEST</scp> imaging
Bloch simulator–driven deep recurrent neural network for magnetization transfer contrast <span>MR</span> fingerprinting and <span>CEST</span> imaging Open
Purpose To develop a unified deep‐learning framework by combining an ultrafast Bloch simulator and a semisolid macromolecular magnetization transfer contrast (MTC) MR fingerprinting (MRF) reconstruction for estimation of MTC effects. Metho…
View article: Deep learning–based Lorentzian fitting of water saturation shift referencing spectra in <scp>MRI</scp>
Deep learning–based Lorentzian fitting of water saturation shift referencing spectra in <span>MRI</span> Open
Purpose Water saturation shift referencing (WASSR) Z‐spectra are used commonly for field referencing in chemical exchange saturation transfer (CEST) MRI. However, their analysis using least‐squares (LS) Lorentzian fitting is time‐consuming…
View article: <scp>Only‐train‐once MR</scp> fingerprinting for <scp>B<sub>0</sub></scp> and <scp>B<sub>1</sub></scp> inhomogeneity correction in quantitative magnetization‐transfer contrast
<span>Only‐train‐once MR</span> fingerprinting for <span>B<sub>0</sub></span> and <span>B<sub>1</sub></span> inhomogeneity correction in quantitative magnetization‐transfer contrast Open
Purpose To develop a fast, deep‐learning approach for quantitative magnetization‐transfer contrast (MTC)–MR fingerprinting (MRF) that simultaneously estimates multiple tissue parameters and corrects the effects of B 0 and B 1 variations. M…
View article: Assessment of Surface and Build-up Doses for a 6 MV Photon Beam using Parallel Plate Chamber, EBT3 Gafchromic Films, and PRIMO Monte Carlo Simulation Code
Assessment of Surface and Build-up Doses for a 6 MV Photon Beam using Parallel Plate Chamber, EBT3 Gafchromic Films, and PRIMO Monte Carlo Simulation Code Open
Good agreement was observed between the measured depth doses using parallel plate ionization chamber, EBT3 Gafchromic films, and the simulated depth doses using PRIMO Monte Carlo simulation code.
View article: Operational matrix method to solve nonlinear reaction-advection-diffusion equation in fractional order system
Operational matrix method to solve nonlinear reaction-advection-diffusion equation in fractional order system Open
In the present paper, a numerical scheme is discussed to solve one-dimensional nonlinear diffusion equation of fractional order in which collocation is performed using the Lucas operational matrix. Since the spectral collocation method is …
View article: Evaluation of surface dose calculations using monaco treatment planning system in an indigenously developed head and neck phantom
Evaluation of surface dose calculations using monaco treatment planning system in an indigenously developed head and neck phantom Open
Objective: The objective of this study is to evaluate the surface doses for 3-dimensional conformal radiation therapy (3DCRT), intensity-modulated radiation therapy (IMRT), and volumetric-modulated arc therapy (VMAT) treatment planning tec…
View article: Evaluation of Effect of Different Computed Tomography Scanning Protocols on Hounsfield Unit and Its Impact on Dose Calculation by Treatment Planning System
Evaluation of Effect of Different Computed Tomography Scanning Protocols on Hounsfield Unit and Its Impact on Dose Calculation by Treatment Planning System Open
Introduction: In radiotherapy treatment planning system (TPS), basic input is the data from computed tomography (CT) scan, which takes into account the effect of inhomogeneities in dose calculations. Measurement of CT numbers may be affect…
View article: SSVEP and ANN based optimal speller design for Brain Computer Interface
SSVEP and ANN based optimal speller design for Brain Computer Interface Open
This work put forwards an optimal BCI (Brain Computer Interface) speller design based on Steady State Visual Evoked Potentials (SSVEP) and Artificial Neural Network (ANN) in order to help the people with severe motor impairments. This work…
View article: Group control and identification of residential appliances using a nonintrusive method
Group control and identification of residential appliances using a nonintrusive method Open
Identifying and controlling (ON/OFF) electrical appliance(s) from a remote location is an essential part of energy management. This motivated us to design a system that can collect the aggregate load signature from a single point, obtain t…