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Deep Gupta
Observed names:
D. Gupta,
Deep GUPTA,
Gupta, Deep
Institution:
Visvesvaraya National Institute of Technology
Observed institutions:
Indian Institute of Technology Roorkee,
Visvesvaraya National Institute of Technology,
Indian Institute of Technology Mandi
ORCID:
0000-0002-7408-656X
Observed ORCID:
0000-0002-7408-656X
OpenAlex ID:
A5039210540
Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network
2015
·
Sneha Singh
, Deep Gupta
, et al.
·
Biomedical Signal Processing and Control
·
143
Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?
2020
·
Luca Saba
, Ankush Jamthikar
, et al.
·
International Angiology
·
105
Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning–Based Tissue Characterization
2019
·
Narendra N. Khanna
, Ankush D. Jamthikar
, et al.
·
Current Atherosclerosis Reports
·
97
A hybrid edge-based segmentation approach for ultrasound medical images
2016
·
Deep Gupta
, R.S. Anand
·
Biomedical Signal Processing and Control
·
95
A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes
2019
·
Ankush Jamthikar
, Deep Gupta
, et al.
·
Cardiovascular Diagnosis and Therapy
·
91
PDF
A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography
2018
·
Alberto Boi
, Ankush D. Jamthikar
, et al.
·
Current Atherosclerosis Reports
·
83
Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models
2020
·
Ankush Jamthikar
, Deep Gupta
, et al.
·
Cardiovascular Diagnosis and Therapy
·
82
PDF
Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study
2020
·
Ankush D. Jamthikar
, Deep Gupta
, et al.
·
International journal of cardiac imaging
·
79
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound
2020
·
Ankush D. Jamthikar
, Deep Gupta
, et al.
·
Computers in Biology and Medicine
·
62
Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study
2019
·
Narendra N. Khanna
, Ankush D. Jamthikar
, et al.
·
Echocardiography
·
55
Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors
2020
·
Ankush Jamthikar
, Deep Gupta
, et al.
·
Indian Heart Journal
·
54
PDF
Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging
2020
·
Ankush D. Jamthikar
, Deep Gupta
, et al.
·
Rheumatology International
·
51
PDF
A hybrid segmentation method based on Gaussian kernel fuzzy clustering and region based active contour model for ultrasound medical images
2014
·
Deep Gupta
, R.S. Anand
, et al.
·
Biomedical Signal Processing and Control
·
48
A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography
2019
·
Ankush Jamthikar
, Deep Gupta
, et al.
·
Current Atherosclerosis Reports
·
47
Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study
2019
·
Narendra N. Khanna
, Ankush D. Jamthikar
, et al.
·
Computers in Biology and Medicine
·
47
An end-to-end content-aware generative adversarial network based method for multimodal medical image fusion
2024
·
Manisha Das
, Deep Gupta
, et al.
·
Institute of Physics eBooks
·
43
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0
2019
·
Narendra N. Khanna
, Ankush D. Jamthikar
, et al.
·
Medical & Biological Engineering & Computing
·
42
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach
2019
·
Elisa Cuadrado-Godia
, Ankush D. Jamthikar
, et al.
·
Computers in Biology and Medicine
·
41
Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound
2021
·
Ankush D. Jamthikar
, Deep Gupta
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
39
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study
2021
·
Ankush Jamthikar
, Deep Gupta
, et al.
·
Computers in Biology and Medicine
·
38
CT and MR image information fusion scheme using a cascaded framework in ripplet and NSST domain
2018
·
Sneha Singh
, Radhey Shyam Anand
, et al.
·
IET Image Processing
·
36
Speckle filtering of ultrasound images using a modified non‐linear diffusion model in non‐subsampled shearlet domain
2014
·
Deep Gupta
, Radhey Shyam Anand
, et al.
·
IET Image Processing
·
36
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients
2018
·
Vasileios Kotsis
, Ankush D. Jamthikar
, et al.
·
Diabetes Research and Clinical Practice
·
35
Nonsubsampled contourlet domain visible and infrared image fusion framework for fire detection using pulse coupled neural network and spatial fuzzy clustering
2018
·
Siva Mouni Nemalidinne
, Deep Gupta
·
Fire Safety Journal
·
33
Nonsubsampled shearlet domain fusion techniques for CT–MR neurological images using improved biological inspired neural model
2017
·
Deep Gupta
·
Journal of Applied Biomedicine
·
33
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Works count:
76
Citation count:
1,936
H-index:
28
I10-index:
40
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