Deep Gupta

Chandreyee Chowdhury, Deep Gupta, Mridul S. Barik, 2018, 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT).

Nonsubsampled shearlet domain fusion techniques for CT–MR neurological images using improved biological inspired neural model

Deep Gupta, Deep Gupta, 2017 .

Despeckling of ultrasound medical images using ripplet domain nonlinear filtering

R. S. Anand, Deep Gupta, Barjeev Tyagi, 2013, Signal, Image and Video Processing.

Detail Enhanced Feature-Level Medical Image Fusion in Decorrelating Decomposition Domain

Deep Gupta, Sneha Singh, 2021, IEEE Transactions on Instrumentation and Measurement.

Despeckling of Ultrasound Images of Bone Fracture Using RADWT Based Non-Linear Filtering

R. S. Anand, Deep Gupta, Barjeev Tyagi, 2014 .

A hybrid segmentation method based on Gaussian kernel fuzzy clustering and region based active contour model for ultrasound medical images

R. S. Anand, Deep Gupta, Barjeev Tyagi, 2015, Biomed. Signal Process. Control..

Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network

Vinod Kumar, R. S. Anand, Deep Gupta, 2015, Biomed. Signal Process. Control..

A hybrid edge-based segmentation approach for ultrasound medical images

R. S. Anand, Deep Gupta, R. Anand, 2017, Biomed. Signal Process. Control..

Multistage multimodal medical image fusion model using feature‐adaptive pulse coupled neural network

Deep Gupta, Sneha Singh, Sneha Singh, 2020, Int. J. Imaging Syst. Technol..

Classification of Brain Tumor using PCA-RF in MR Neurological Images

Deep Gupta, Vishlavath Saraswathi, 2019, 2019 11th International Conference on Communication Systems & Networks (COMSNETS).

Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2018, Diabetes research and clinical practice.

A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2019, Cardiovascular diagnosis and therapy.

Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study

Jasjit S Suri, Deep Gupta, Andrew Nicolaides, 2020, Angiology.

Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors

Jasjit S. Suri, Deep Gupta, Narendra N. Khanna, 2020, Indian heart journal.

Removal of Additive Gaussian Noise by Complex Double Density Dual Tree Discrete Wavelet Transform

Deep Gupta, Shyam Lal, Mahesh Chandra, 2011 .

Enhancement of Medical Ultrasound Images using Non-Linear Filtering Based on Rational-Dilation Wavelet Transform

Deep Gupta, Barjeev Tyagi, B. Tyagi, 2012 .

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning–Based Tissue Characterization

Petros Sfikakis, Deep Gupta, Ankush D. Jamthikar, 2019, Current Atherosclerosis Reports.

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

Jasjit S Suri, Deep Gupta, Ankush D. Jamthikar, 2019, Echocardiography.

A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography

Jasjit S Suri, Deep Gupta, Ankush D. Jamthikar, 2018, Current Atherosclerosis Reports.

Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2020, Cardiovascular diagnosis and therapy.

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography

Jasjit S. Suri, Deep Gupta, Narendra N. Khanna, 2019, Current Atherosclerosis Reports.