Manisha Das

17 papers C 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
An unsteady analytical solution for a layered Tóthian basin subjected to time-dependent water table boundary.
Environ. Model. Softw.
Manisha Das, Ratan Sarmah
2025 J jnl
SpiLenet based detection and severity level classification of lung cancer using CT images.
Comput. Electr. Eng.
Lakshmana Rao Vadala, Manisha Das, Ch Raga Madhuri, Suneetha Merugula
2024 J jnl
An Efficient Gaussian Mixture Model Classifier for Outdoor Surveillance Using Seismic Signals.
IEEE Trans. Geosci. Remote. Sens.
Srinivasan Aruchamy, Anisom Chakraborty, Manisha Das, Siva Ram Krishna Vadali, Ranjit Ray, Sambhunath Nandy
2023 J jnl
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention.
CoRR
Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2023 J jnl
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder.
CoRR
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2023 J jnl
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network.
J. Ambient Intell. Humaniz. Comput.
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2023 C conf
Vision Outlooker-Based Hierarchical Food Classification.
TENCON
Pranav Kathar, Rajshree Khandare, Manisha Das, Deep Gupta, Sneha Singh
2022 — conf
Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty.
SPCOM
Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva
2022 J jnl
Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation.
IEEE Trans. Instrum. Meas.
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2022 — conf
STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion.
NCC
Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2022 J jnl
Saliency Detection Using a Bio-inspired Spiking Neural Network Driven by Local and Global Saliency.
Appl. Artif. Intell.
Bhagyashree V. Lad, Manisha Das, Mohammad Farukh Hashmi, Avinash G. Keskar, Deep Gupta
2022 — conf
Video Colorization Using Modified Autoencoder Generative Adversarial Networks.
CVIP (1)
Rishesh Agarwal, Manisha Das, Deep Gupta, Petia Radeva
2021 — conf
Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model.
PReMI
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2021 J jnl
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.
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2021 J jnl
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ
Biomed. Signal Process. Control.
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2020 J jnl
NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network.
IET Image Process.
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
2016 — conf
Study and implementation of synchronization algorithm in three phase grid connected PV system.
RAIT
B. K. Naick, Manisha Das, T. K. Chatterjee, K. Chatterjee