Manisha Das

According to our database, Manisha Das authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SpiLenet based detection and severity level classification of lung cancer using CT images.

Lakshmana Rao Vadala, Manisha Das, Ch Raga Madhuri, Suneetha Merugula

Comput. Electr. Eng., 2025

2024

An Efficient Gaussian Mixture Model Classifier for Outdoor Surveillance Using Seismic Signals.

Srinivasan Aruchamy, Anisom Chakraborty, Manisha Das, Siva Ram Krishna Vadali, Ranjit Ray, Sambhunath Nandy

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network.

Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

J. Ambient Intell. Humaniz. Comput., 2023

Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder.

Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

CoRR, 2023

A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention.

Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

CoRR, 2023

Vision Outlooker-Based Hierarchical Food Classification.

Pranav Kathar, Rajshree Khandare, Manisha Das, Deep Gupta, Sneha Singh

Proceedings of the IEEE Region 10 Conference, 2023

2022

Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation.

Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

IEEE Trans. Instrum. Meas., 2022

Saliency Detection Using a Bio-inspired Spiking Neural Network Driven by Local and Global Saliency.

Bhagyashree V. Lad, Manisha Das, Mohammad Farukh Hashmi, Avinash G. Keskar, Deep Gupta

Appl. Artif. Intell., 2022

Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty.

Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva

Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion.

Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

Proceedings of the 27th National Conference on Communications, 2022

Video Colorization Using Modified Autoencoder Generative Adversarial Networks.

Rishesh Agarwal, Manisha Das, Deep Gupta, Petia Radeva

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021

Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization.

Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

Int. J. Imaging Syst. Technol., 2021

Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ₁ - ℓ₀ layer decomposition domain.

Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

Biomed. Signal Process. Control., 2021

Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model.

Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

2020

NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network.

Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde

IET Image Process., 2020

2016

Study and implementation of synchronization algorithm in three phase grid connected PV system.

B. K. Naick, Manisha Das, T. K. Chatterjee, K. Chatterjee

Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016