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Deep Gupta
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2020 – today
- 2023
- [j24]Manisha Das
, Deep Gupta
, Petia Radeva, Ashwini M. Bakde:
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network. J. Ambient Intell. Humaniz. Comput. 14(9): 11985-12004 (2023) - [c10]Pranav Kathar, Rajshree Khandare, Manisha Das, Deep Gupta, Sneha Singh
:
Vision Outlooker-Based Hierarchical Food Classification. TENCON 2023: 317-322 - [e2]Deep Gupta, Kishor M. Bhurchandi, Subrahmanyam Murala, Balasubramanian Raman, Sanjeev Kumar:
Computer Vision and Image Processing - 7th International Conference, CVIP 2022, Nagpur, India, November 4-6, 2022, Revised Selected Papers, Part I. Communications in Computer and Information Science 1776, Springer 2023, ISBN 978-3-031-31406-3 [contents] - [e1]Deep Gupta, Kishor M. Bhurchandi, Subrahmanyam Murala, Balasubramanian Raman, Sanjeev Kumar:
Computer Vision and Image Processing - 7th International Conference, CVIP 2022, Nagpur, India, November 4-6, 2022, Revised Selected Papers, Part II. Communications in Computer and Information Science 1777, Springer 2023, ISBN 978-3-031-31416-2 [contents] - [i2]Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention. CoRR abs/2310.11896 (2023) - [i1]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder. CoRR abs/2310.11910 (2023) - 2022
- [j23]Bhagyashree V. Lad
, Manisha Das, Mohammad Farukh Hashmi, Avinash G. Keskar
, Deep Gupta:
Saliency Detection Using a Bio-inspired Spiking Neural Network Driven by Local and Global Saliency. Appl. Artif. Intell. 36(1) (2022) - [j22]Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Jasjit S. Suri:
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study. Comput. Biol. Medicine 140: 105102 (2022) - [j21]Manisha Das
, Deep Gupta
, Petia Radeva
, Ashwini M. Bakde
:
Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j20]Ankush D. Jamthikar
, Deep Gupta
, Laura E. Mantella
, Luca Saba
, Amer M. Johri
, Jasjit S. Suri
:
Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c9]Rishesh Agarwal, Manisha Das
, Deep Gupta
, Petia Radeva
:
Video Colorization Using Modified Autoencoder Generative Adversarial Networks. CVIP (1) 2022: 304-315 - [c8]Pranay Dumbhare, Yash Dubey, Vedant Phuse, Ankush Jamthikar, Himanshu Padole, Deep Gupta
:
Combining Deep-Learned and Hand-Crafted Features for Segmentation, Classification and Counting of Colon Nuclei in H &E Stained Histology Images. CVIP (2) 2022: 686-698 - [c7]Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion. NCC 2022: 172-177 - [c6]Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva:
Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty. SPCOM 2022: 1-5 - 2021
- [j19]Manisha Das
, Deep Gupta
, Petia Radeva, Ashwini M. Bakde:
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain. Biomed. Signal Process. Control. 68: 102535 (2021) - [j18]Sneha Singh
, Deep Gupta
:
Multistage multimodal medical image fusion model using feature-adaptive pulse coupled neural network. Int. J. Imaging Syst. Technol. 31(2): 981-1001 (2021) - [j17]Manisha Das
, Deep Gupta
, Petia Radeva
, Ashwini M. Bakde:
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization. Int. J. Imaging Syst. Technol. 31(4): 2170-2188 (2021) - [j16]Sneha Singh
, Deep Gupta
:
Detail Enhanced Feature-Level Medical Image Fusion in Decorrelating Decomposition Domain. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [c5]Manisha Das
, Deep Gupta
, Petia Radeva
, Ashwini M. Bakde:
Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model. PReMI 2021: 233-241 - 2020
- [j15]Ankush D. Jamthikar, Deep Gupta
, Luca Saba, Narendra N. Khanna
, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Naveed Sattar, Amer M. Johri, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Vijay Viswanathan
, Aditya M. Sharma, George D. Kitas, Andrew Nicolaides, Raghu Kolluri, Jasjit S. Suri:
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. Comput. Biol. Medicine 126: 104043 (2020) - [j14]Manisha Das
, Deep Gupta
, Petia Radeva, Ashwini M. Bakde:
NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network. IET Image Process. 14(16): 4291-4305 (2020) - [j13]Ankush D. Jamthikar, Deep Gupta
, Amer M. Johri, Laura E. Mantella, Luca Saba, Raghu Kolluri, Aditya M. Sharma
, Vijay Viswanathan
, Andrew Nicolaides, Jasjit S. Suri:
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. J. Medical Syst. 44(12): 208 (2020)
2010 – 2019
- 2019
- [j12]Narendra N. Khanna
, Ankush D. Jamthikar
, Deep Gupta
, Andrew Nicolaides, Tadashi Araki, Luca Saba, Elisa Cuadrado Godia
, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni
, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Vijay Viswanathan
, Jasjit S. Suri:
Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study. Comput. Biol. Medicine 105: 125-143 (2019) - [j11]Elisa Cuadrado Godia
, Ankush D. Jamthikar
, Deep Gupta
, Narendra N. Khanna
, Tadashi Araki, Md. Maniruzzaman
, Luca Saba, Andrew Nicolaides, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni
, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Jasjit S. Suri:
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Comput. Biol. Medicine 108: 182-195 (2019) - [j10]Narendra N. Khanna
, Ankush D. Jamthikar
, Deep Gupta
, Tadashi Araki, Matteo Piga, Luca Saba, Carlo Carcassi, Andrew Nicolaides, John R. Laird, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni
, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Jasjit S. Suri:
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0. Medical Biol. Eng. Comput. 57(7): 1553-1566 (2019) - [c4]Vishlavath Saraswathi, Deep Gupta
:
Classification of Brain Tumor using PCA-RF in MR Neurological Images. COMSNETS 2019: 440-443 - [c3]Vishlavath Saraswathi, Ankush D. Jamthikar, Deep Gupta
:
CNN and RF Based Classification of Brain Tumors in MR Neurological Images. CVIP (1) 2019: 123-133 - 2018
- [j9]Sneha Singh
, Radhey Shyam Anand, Deep Gupta
:
CT and MR image information fusion scheme using a cascaded framework in ripplet and NSST domain. IET Image Process. 12(5): 696-707 (2018) - [c2]Siva Mouni Nemalidinne, Anem Pravallika Sindhu, Deep Gupta
:
Nonsubsampled Contourlet Domain Fusion Approach for Infrared and Visible Fire Images. TENCON 2018: 2516-2521 - 2017
- [j8]Deep Gupta
, R. S. Anand:
A hybrid edge-based segmentation approach for ultrasound medical images. Biomed. Signal Process. Control. 31: 116-126 (2017) - 2015
- [j7]Deep Gupta
, R. S. Anand, Barjeev Tyagi:
A hybrid segmentation method based on Gaussian kernel fuzzy clustering and region based active contour model for ultrasound medical images. Biomed. Signal Process. Control. 16: 98-112 (2015) - [j6]Sneha Singh
, Deep Gupta
, R. S. Anand, Vinod Kumar:
Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network. Biomed. Signal Process. Control. 18: 91-101 (2015) - [j5]Deep Gupta
, R. S. Anand, Barjeev Tyagi:
Speckle filtering of ultrasound images using a modified non-linear diffusion model in non-subsampled shearlet domain. IET Image Process. 9(2): 107-117 (2015) - [j4]Deep Gupta
, R. S. Anand, Barjeev Tyagi:
Despeckling of ultrasound medical images using ripplet domain nonlinear filtering. Signal Image Video Process. 9(5): 1093-1111 (2015) - 2014
- [j3]Deep Gupta
, R. S. Anand, Barjeev Tyagi:
Ripplet domain non-linear filtering for speckle reduction in ultrasound medical images. Biomed. Signal Process. Control. 10: 79-91 (2014) - [j2]Deep Gupta
, R. S. Anand, Barjeev Tyagi:
Despeckling of ultrasound medical images using nonlinear adaptive anisotropic diffusion in nonsubsampled shearlet domain. Biomed. Signal Process. Control. 14: 55-65 (2014) - 2013
- [j1]Deep Gupta
, Radhey Shyam Anand, Barjeev Tyagi:
Edge preserved enhancement of medical images using adaptive fusion-based denoising by shearlet transform and total variation algorithm. J. Electronic Imaging 22(4): 043016 (2013) - 2012
- [c1]Deep Gupta
, R. S. Anand, Barjeev Tyagi:
Enhancement of Medical Ultrasound Images Using Multiscale Discrete Shearlet Transform Based Thresholding. ISED 2012: 286-290
Coauthor Index
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