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Found 14 papers, 4 papers with code
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
Specifically, the ITA module aggregates temporal information from consecutive frames and coding priors, while the MNA module globally captures spatial information guided by residual frames.
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
In this study, we present an AI system developed to detect and screen cardiac abnormalities (CAs) from real-world ECG images.
TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning
In addition, the comprehensive experiments of TCMPR with different hyper parameters (i. e., feature embedding, feature dimension and feature fusion) that demonstrates that our method has high performance on TCM prescription recommendation and potentially promote clinical diagnosis and treatment of TCM precision medicine.
Multi-scale Information Assembly for Image Matting
Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.
Cross-domain Joint Dictionary Learning for ECG Inference from PPG
The inverse problem of inferring electrocardiogram (ECG) from photoplethysmogram (PPG) is an emerging research direction that combines the easy measurability of PPG and the rich clinical knowledge of ECG for long-term continuous cardiac monitoring.
Inferring ECG from PPG for Continuous Cardiac Monitoring Using Lightweight Neural Network
It is also infeasible to expect persistently active user participation for long-term continuous cardiac monitoring in order to capture these and other types of abnormalities of the heart.
Learning Decomposed Representation for Counterfactual Inference
The fundamental problem in treatment effect estimation from observational data is confounder identification and balancing.
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
Infectious keratitis is the most common entities of corneal diseases, in which pathogen grows in the cornea leading to inflammation and destruction of the corneal tissues.
Adaptive Multi-Trace Carving for Robust Frequency Tracking in Forensic Applications
In the field of information forensics, many emerging problems involve a critical step that estimates and tracks weak frequency components in noisy signals.
PyXtal: a Python Library for Crystal Structure Generation and Symmetry Analysis
We present PyXtal, a new package based on the Python programming language, used to generate structures with specific symmetry and chemical compositions for both atomic and molecular systems.
Materials Science Computational Physics
Respiratory Rate Estimation from Face Videos
Commercial cameras are promising contact-free sensors, and remote photoplethysmography (rPPG) have been studied to remotely monitor heart rate from face videos.
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem
We build our 2P-DNN model based on LeNet-5, and test it with the encrypted MNIST dataset.
Predicting phase behavior of grain boundaries with evolutionary search and machine learning
The study of grain boundary phase transitions is an emerging field until recently dominated by experiments.
Materials Science
A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals
This was done in order to improve the classification performance of these two classes of heartbeats by using different features and classification methods.
Ranked #2 on
Heartbeat Classification
on MIT-BIH AR
