GitHub

Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution

AIIA Lab, Harbin Institute of Technology. This repository is the official PyTorch implementation of "Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution". If our work helps your ...
IEEE

Depth Map Super-Resolution via Deep Cross-Modality and Cross-Scale Guidance

Abstract: Guided depth super-resolution is essential in many applications, which enhances low-resolution (LR) depth maps using high-resolution (HR) RGB images from the same scene. However, the ...
GitHub

GitHub - BBillot/SynthSR: A framework for joint super-resolution and image synthesis, without requiring real training data

This repository contains an implementation of SynthSR, a convolutional neural network that turns a clinical MRI scan (or even CT scan!) of any orientation, resolution and contrast into 1 mm isotropic ...

AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...