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Found 9 papers, 3 papers with code
Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution
Relying on the Mamba and the fact that low-resolution images rely on global information to compensate for missing details, while high-resolution reference images need to provide more local details for accurate super-resolution, we propose a global and local Mamba network (GLMamba) for multi-modality medical image super-resolution.
A Comprehensive Survey on Magnetic Resonance Image Reconstruction
Magnetic resonance imaging (MRI) reconstruction is a fundamental task aimed at recovering high-quality images from undersampled or low-quality MRI data.
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution
Inspired by Mamba, our approach aims to learn the self-prior multi-scale contextual features under Mamba-UNet networks, which may help to super-resolve low-resolution medical images in an efficient way.
Deform-Mamba Network for MRI Super-Resolution
Thanks to the extracted features of the encoder, which include content-adaptive local and efficient global information, the vision Mamba decoder finally generates high-quality MR images.
Ada-DF: An Adaptive Label Distribution Fusion Network For Facial Expression Recognition
One auxiliary branch is constructed to obtain the label distributions of samples.
Facial Expression Recognition
Facial Expression Recognition (FER)
ChebMixer: Efficient Graph Representation Learning with MLP Mixer
In this paper, we present a novel architecture named ChebMixer, a newly graph MLP Mixer that uses fast Chebyshev polynomials-based spectral filtering to extract a sequence of tokens.
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data
Radiology report generation, as a key step in medical image analysis, is critical to the quantitative analysis of clinically informed decision-making levels.
A Dual-Branch Adaptive Distribution Fusion Framework for Real-World Facial Expression Recognition
One auxiliary branch is constructed to obtain the label distributions of samples.
Ranked #1 on
Facial Expression Recognition (FER)
on SFEW
Lightweight Facial Attractiveness Prediction Using Dual Label Distribution
The data processing is simplified to a minimum for a lightweight design, and MobileNetV2 is selected as our backbone.
