116 citations · 477 across the 58 of their papers we have counts for
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Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder
Manisha Das, Deep Gupta, Petia Radeva +1
Medical image fusion integrates the complementary diagnostic information of the source image modalities for improved visualization and analysis of underlying anomalies. Recently, d…
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention
Payal Wankhede, Manisha Das, Deep Gupta +2
Medical image fusion combines the complementary information of multimodal medical images to assist medical professionals in the clinical diagnosis of patients' disorders and provid…
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva +1
Uncertainty-based deep learning models have attracted a great deal of interest for their ability to provide accurate and reliable predictions. Evidential deep learning stands out a…
Characterizing the contribution of dependent features in XAI methods
Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh +3
Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpret…
Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields
Ahmad AlMughrabi, Umair Haroon, Ricardo Marques +1
Neural radiance fields (NeRF) appeared recently as a powerful tool to generate realistic views of objects and confined areas. Still, they face serious challenges with open scenes,…
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan +1
Nearest neighbour based methods have proved to be one of the most successful self-supervised learning (SSL) approaches due to their high generalization capabilities. However, their…