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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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