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)

Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (PReMI, 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)

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)

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 (NCC, 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)

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)

Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder. - Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde (CoRR, 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)