Simultaneous tri-modal medical image fusion and super-resolution using conditional diffusion model

Y Xu, X Li, Y Jie, H Tan - … Conference on Medical Image Computing and …, 2024 - Springer
In clinical practice, tri-modal medical image fusion, compared to the existing dual-modal
technique, can provide a more comprehensive view of the lesions, aiding physicians in …

Aspect-based sentiment analysis via bidirectional variant spiking neural P systems

C Zhu, B Yi, L Luo - Expert Systems with Applications, 2025 - Elsevier
In recent years, aspect-based sentiment classification has predominantly relied on artificial
neural networks, achieving notable success. However, effectively capturing the contextual …

Multi-modality image fusion using fuzzy set theory and compensation dictionary learning

Y Jie, X Li, T Tan, L Yang, M Wang - Optics & Laser Technology, 2025 - Elsevier
Multi-modality image fusion aims to integrate complementary information from different
modalities to produce superior images for advanced visual tasks. Existing fusion methods …

Precision Denoising in Medical Imaging via Generative Adversarial Network-Aided Low-Noise Discriminator Technique.

TM Alanazi, P Mercorelli - Mathematics (2227-7390), 2024 - search.ebscohost.com
Medical imaging is significant for accurate diagnosis, and here, noise often degrades image
quality, thus making it challenging to identify important information. Denoising is a …

Algorithmic Approaches in Image Fusion: An Evaluation

S Sharma, S Rani, A Dogra… - … Conference on Intelligent …, 2024 - ieeexplore.ieee.org
Image fusion, a process of combining information from multiple source images, has gained
significant attention due to its potential applications in various fields, including education …

Multiple attention channels aggregated network for multimodal medical image fusion

J Huang, T Tan, X Li, T Ye, Y Wu - Medical Physics - Wiley Online Library
Background In clinical practices, doctors usually need to synthesize several single‐modality
medical images for diagnosis, which is a time‐consuming and costly process. With this …