Sandeep Gupta

ORCID: 0000-0002-3734-3723
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About
Contact & Profiles
Research Areas
  • Advanced MRI Techniques and Applications
  • Power System Optimization and Stability
  • MRI in cancer diagnosis
  • Cardiac Imaging and Diagnostics
  • Microgrid Control and Optimization
  • Stability and Control of Uncertain Systems
  • Power Quality and Harmonics
  • HVDC Systems and Fault Protection
  • Cardiovascular Function and Risk Factors
  • Photovoltaic System Optimization Techniques
  • Advanced Battery Technologies Research
  • Frequency Control in Power Systems
  • Fusion materials and technologies
  • Dynamics and Control of Mechanical Systems
  • Radiomics and Machine Learning in Medical Imaging
  • Prostate Cancer Diagnosis and Treatment
  • Matrix Theory and Algorithms
  • Wind Turbine Control Systems
  • Advanced DC-DC Converters
  • Control and Stability of Dynamical Systems
  • Numerical methods for differential equations
  • Electric Vehicles and Infrastructure
  • Railway Systems and Energy Efficiency
  • Optimal Power Flow Distribution
  • Advanced Wireless Communication Technologies

Graphic Era University
2023-2025

ITM University
2024

Institute for Plasma Research
2017-2024

Manav Rachna International Institute of Research and Studies
2024

JECRC University
2018-2023

Dr. K.N.Modi University
2022-2023

Government Medical College and Hospital
2022

Sawai ManSingh Medical College and Hospital
2021

General Electric (United States)
2007-2019

Rajasthan Technical University
2017

The extent of the peri-infarct zone by magnetic resonance imaging (MRI) has been related to all-cause mortality in patients with coronary artery disease. This relationship may result from arrhythmogenesis infarct border. However, between tissue heterogeneity periphery and arrhythmic substrate not investigated. In present study, we quantify myocardial contrast-enhanced MRI relate it an electrophysiological marker left ventricular (LV) systolic dysfunction undergoing prophylactic implantable...

10.1161/circulationaha.106.653568 article EN Circulation 2007-03-28

Background— Accurate risk stratification is crucial for effective treatment planning after myocardial infarction (MI). Previous studies suggest that the peri-infarct border zone may be an important arrhythmogenic substrate. In this pilot study, we tested hypothesis extent of quantified by contrast-enhanced cardiac magnetic resonance (CMR) independent predictor post-MI mortality. Methods and Results— We studied 144 patients with documented coronary artery disease abnormal delayed enhancement...

10.1161/circulationaha.106.613414 article EN Circulation 2006-06-27

Pharmacokinetic analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) time-course data allows estimation quantitative parameters such as Ktrans (rate constant for plasma/interstitium contrast agent transfer), ve (extravascular extracellular volume fraction), and vp (plasma fraction). A plethora factors in DCE-MRI acquisition can affect accuracy precision these and, consequently, the utility assessing therapy response. In this multicenter challenge, acquired at one center...

10.1593/tlo.13838 article EN cc-by-nc-nd Translational Oncology 2014-02-01

TensorFlow.js is a library for building and executing machine learning algorithms in JavaScript. models run web browser the Node.js environment. The part of TensorFlow ecosystem, providing set APIs that are compatible with those Python, allowing to be ported between Python JavaScript ecosystems. has empowered new developers from extensive community build deploy enabled classes on-device computation. This paper describes design, API, implementation TensorFlow.js, highlights some impactful use cases.

10.48550/arxiv.1901.05350 preprint EN other-oa arXiv (Cornell University) 2019-01-01

This multicenter study evaluated the effect of variations in arterial input function (AIF) determination on pharmacokinetic (PK) analysis dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data using shutter-speed model (SSM). Data acquired from eleven prostate cancer patients were shared among nine centers. Each center used a site-specific method to measure individual AIF each set and submitted results managing center. These AIFs, their reference tissue-adjusted variants,...

10.18383/j.tom.2018.00027 article EN cc-by Tomography 2019-03-01

Aim: To develop a clinically applicable MRI technique for tracking stem cells in matrix-associated stem-cell implants, using the US FDA-approved iron supplement ferumoxytol. Materials & methods: Ferumoxytol-labeling of adipose-derived (ADSCs) was optimized vitro. A total 11 rats with osteochondral defects both femurs were implanted ferumoxytol- or ferumoxides-labeled unlabeled ADSCs, and underwent up to 4 weeks post implant. The signal-to-noise ratio different implant compared t-tests...

10.2217/nnm.12.198 article EN Nanomedicine 2013-03-27

Pharmacokinetic analysis of dynamic contrast-enhanced (DCE) MRI data allows estimation quantitative imaging biomarkers such as Ktrans (rate constant for plasma/interstitium contrast reagent (CR) transfer) and ve (extravascular extracellular volume fraction). However, the use DCE-MRI in clinical practice is limited with uncertainty arterial input function (AIF) determination being one primary reasons. In this multicenter study to assess effects AIF variations on pharmacokinetic parameter...

10.18383/j.tom.2015.00184 article EN cc-by Tomography 2016-03-01

Purpose To evaluate the usefulness of perfusion parameters derived from dynamic contrast-enhanced MR imaging (DCE-MRI) for assessing therapeutic response to neoadjuvant chemoradiation therapy (CRT) locally advanced rectal cancer (LARC). Materials and Methods Fifty patients with LARC (≥T3 or lymph-node metastasis) who underwent CRT subsequent surgery, were included in this study. All pre- post-CRT DCE-MRI on a 1.5 Tesla unit. By using postprocessing software, following (Ktrans, kep, ve)...

10.1002/jmri.24387 article EN Journal of Magnetic Resonance Imaging 2013-11-04

Metro trains have non-linear load characteristics, which means that the power sent to them gets distorted. Problems are caused by changes in power, swells, harmonics, and other disturbances. In this research, an artificial intelligence-driven control method was used on a unified quality conditioner (UPQC) help reduce problems improve quality. Three advanced methods built compared using MATLAB Simulink. Some of these ANN Controller, NARMA-L2 PI improved Adaptive Lizard Algorithm. The...

10.1038/s41598-024-68575-5 article EN cc-by-nc-nd Scientific Reports 2024-08-02

Flow-mediated dilation (FMD) is strongly dependent on arterial size, but the reasons for this phenomenon are poorly understood. We have previously shown that FMD greater in small brachial arteries because shear stress stimulus arteries. However, it unclear why Furthermore, relationship has not been investigated other, differently sized beds. Postischemic systolic and resulting were evaluated femoral of 24 young, healthy adults using phase-contrast magnetic resonance imaging. Arterial radius...

10.1152/ajpheart.00612.2004 article EN AJP Heart and Circulatory Physiology 2004-09-03

The objective of this research is to understand how virtual reality (VR), augmented (AR), and mixed (MR) are transforming the travel tourism sectors as well preserving cultural heritage. We living in a digital interaction world where new immersive experiences have been induced by interplay between technological breakthroughs, societal needs, commercial imperatives. Given that about heritage sites worldwide, study examines current challenges associated with their conservation within...

10.1109/icdt61202.2024.10489490 article EN 2024-03-15
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