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Manisha Das
Manisha Das
Ph.D. ,VNIT Nagpur, India
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NSST domain CT–MR neurological image fusion using optimised biologically inspired neural network
M Das, D Gupta, P Radeva, AM Bakde
IET Image Processing 14 (16), 4291-4305, 2020
142020
Human following robot using kinect in embedded platform
S Kapgate, P Sahu, M Das, D Gupta
2022 1st International Conference on the Paradigm Shifts in Communication …, 2022
72022
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1− ℓ0 layer decomposition domain
M Das, D Gupta, P Radeva, AM Bakde
Biomedical Signal Processing and Control 68, 102535, 2021
62021
Image processing to quantitate hemoglobin level for diagnostic support
AA Khurshid, M Das
Helix-The Scientific Explorer| Peer Reviewed Bimonthly International Journal …, 2020
62020
Optimized multimodal neurological image fusion based on low-rank texture prior decomposition and super-pixel segmentation
M Das, D Gupta, P Radeva, AM Bakde
IEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022
52022
An end-to-end content-aware generative adversarial network based method for multimodal medical image fusion
M Das, D Gupta, A Bakde
Data Analytics for Intelligent Systems: Techniques and solutions, 7-1-7-10, 2024
42024
Multi‐scale decomposition‐based CT‐MR neurological image fusion using optimized bio‐inspired spiking neural model with meta‐heuristic optimization
M Das, D Gupta, P Radeva, AM Bakde
International Journal of Imaging Systems and Technology 31 (4), 2170-2188, 2021
32021
Image segmentation of eye for non-invasive detection of anemia
P Jha, M Das, A Mishra
Available at SSRN 3282850, 2018
32018
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network
M Das, D Gupta, P Radeva, AM Bakde
Journal of Ambient Intelligence and Humanized Computing 14 (9), 11985-12004, 2023
22023
Saliency detection using a bio-inspired spiking neural network driven by local and global saliency
BV Lad, M Das, MF Hashmi, AG Keskar, D Gupta
Applied Artificial Intelligence 36 (1), 2094408, 2022
22022
Vision outlooker-based hierarchical food classification
P Kathar, R Khandare, M Das, D Gupta, S Singh
TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 317-322, 2023
12023
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder
M Das, D Gupta, P Radeva, AM Bakde
arXiv preprint arXiv:2310.11910, 2023
12023
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention
P Wankhede, M Das, D Gupta, P Radeva, AM Bakde
arXiv preprint arXiv:2310.11896, 2023
12023
Integrated hierarchical and flat classifiers for food image classification using epistemic uncertainty
V Pillai, P Mehar, M Das, D Gupta, P Radeva
2022 IEEE International Conference on Signal Processing and Communications …, 2022
12022
STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion
D Shah, H Wani, M Das, D Gupta, P Radeva, A Bakde
2022 National Conference on Communications (NCC), 172-177, 2022
12022
Optimized Bio-inspired Spiking Neural Models based Anatomical and Functional Neurological Image Fusion in NSST Domain
M Das, D Gupta, P Radeva, A Bakde
2021 National Conference on Communications (NCC), 2021
12021
HYBRID CYCLIC LIBRARIES AND SCREENS THEREOF
JO Liu, J Wang, Z Guo, W Li, S Bhat, M Das
US Patent App. 18/435,939, 2024
2024
Deep and Bio-Inspired Spiking Neural Networks based Optimized Multi-modal Neurological Image Fusion Model
AMB Manisha Das, Dr. Deep Gupta, Petia Radeva
9th International Conference, PReMI 2021, Kolkata, India, December 15-18 …, 2022
2022
Video Colorization Using Modified Autoencoder Generative Adversarial Networks
R Agarwal, M Das, D Gupta, P Radeva
International Conference on Computer Vision and Image Processing, 304-315, 2022
2022
Swarm Optimized Hybrid Layer Decomposition and Reconstruction Model for Multi-Modal Neurological Image Fusion
M Das, D Gupta, P Radeva, AM Bakde
Artificial Intelligence Applications for Health Care, 203-225, 2022
2022
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