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Found 14 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.
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching
Geometric knowledge has been shown to be beneficial for the stereo matching task.
Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting
We propose a unified framework aimed at enhancing the diffusion priors for 3D generation tasks.
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.
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
Our method demonstrates promising segmentation performance with a mean Dice score of 83. 8% and 81. 4% and an average asymmetric surface distance (ASSD) of 0. 55 mm and 0. 26 mm for the VS and Cochlea, respectively in the validation phase of the crossMoDA 2022 challenge.
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.
Systematic Analysis and Removal of Circular Artifacts for StyleGAN
StyleGAN is one of the state-of-the-art image generators which is well-known for synthesizing high-resolution and hyper-realistic face images.
Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments
Automated heart sounds classification is a much-required diagnostic tool in the view of increasing incidences of heart related diseases worldwide.
Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks
Our approach was approximately 100 times faster than the original DCNN approach while simultaneously preserving high accuracy and precision.
A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised
In this study, we perform a comparison study of credit card fraud detection by using various supervised and unsupervised approaches.
Facial Feature Embedded CycleGAN for VIS-NIR Translation
VIS-NIR face recognition remains a challenging task due to the distinction between spectral components of two modalities and insufficient paired training data.
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Segmentation stands at the forefront of many high-level vision tasks.
Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks
First, we learn RNN parameters to discriminate between the target object and background in the first frame of a test sequence.
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification
In this study, a multi-task deep neural network is proposed for skin lesion analysis.
