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Found 9 papers, 2 papers with code
Graph Neural Networks for Protein-Protein Interactions - A Short Survey
Protein-protein interactions (PPIs) play key roles in a broad range of biological processes.
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction
Protein-protein interactions (PPIs) are crucial in various biological processes and their study has significant implications for drug development and disease diagnosis.
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Deep learning has achieved notable success in 3D object detection with the advent of large-scale point cloud datasets.
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation
With large-scale well-labeled datasets, deep learning has shown significant success in medical image segmentation.
Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling
Intracranial arteries are critical blood vessels that supply the brain with oxygenated blood.
Residual Channel Attention Network for Brain Glioma Segmentation
A glioma is a malignant brain tumor that seriously affects cognitive functions and lowers patients' life quality.
Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Automated facial age estimation has diverse real-world applications in multimedia analysis, e. g., video surveillance, and human-computer interaction.
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Diabetic retinopathy (DR) is one of the most common eye conditions among diabetic patients.
Multi-Target Deep Learning for Algal Detection and Classification
Water quality has a direct impact on industry, agriculture, and public health.
