Wavelet-improved score-based generative model for medical imaging
The score-based generative model (SGM) has demonstrated remarkable performance in
addressing challenging under-determined inverse problems in medical imaging. However …
addressing challenging under-determined inverse problems in medical imaging. However …
Deep Generative Models for Physiological Signals: A Systematic Literature Review
In this paper, we present a systematic literature review on deep generative models for
physiological signals, particularly electrocardiogram, electroencephalogram …
physiological signals, particularly electrocardiogram, electroencephalogram …
A comprehensive survey on generative diffusion models for structured data
In recent years, generative diffusion models have achieved a rapid paradigm shift in deep
generative models by showing groundbreaking performance across various applications …
generative models by showing groundbreaking performance across various applications …
Gsure-based diffusion model training with corrupted data
Diffusion models have demonstrated impressive results in both data generation and
downstream tasks such as inverse problems, text-based editing, classification, and more …
downstream tasks such as inverse problems, text-based editing, classification, and more …
A survey on diffusion models for time series and spatio-temporal data
The study of time series data is crucial for understanding trends and anomalies over time,
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …
Data-iterative optimization score model for stable ultra-sparse-view CT reconstruction
Score-based generative models (SGMs) have gained prominence in sparse-view CT
reconstruction for their precise sampling of complex distributions. In SGM-based …
reconstruction for their precise sampling of complex distributions. In SGM-based …
Joey: Supporting Kangaroo Mother Care with Computational Fabrics
Kangaroo Mother Care (KMC), involving chest-to-chest skin contact between an infant and
caregiver, is proven to be an effective intervention for preterm and full-term infants. Accurate …
caregiver, is proven to be an effective intervention for preterm and full-term infants. Accurate …
Elimination of Random Mixed Noise in ECG using Convolutional Denoising Autoencoder with Transformer Encoder
M Chen, Y Li, L Zhang, L Liu, B Han… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Electrocardiogram (ECG) signals frequently encounter diverse types of noise, such as
baseline wander (BW), electrode motion (EM) artifacts, muscle artifact (MA), and others …
baseline wander (BW), electrode motion (EM) artifacts, muscle artifact (MA), and others …
A Survey on Generative Diffusion Models for Structured Data
H Koo - arXiv preprint arXiv:2306.04139, 2023 - arxiv.org
In recent years, generative diffusion models have achieved a rapid paradigm shift in deep
generative models by showing groundbreaking performance across various applications …
generative models by showing groundbreaking performance across various applications …
A Fast Adaptive LPCA Method for Fetal ECG Extraction Based on Multi-channel Signals
WT Zhang, ZZ Huang, YY Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Monitoring fetal electrocardiogram (FECG) is crucial for diagnosing potential congenital
heart defects and fetal distress during pregnancy. Due to strong interferences and …
heart defects and fetal distress during pregnancy. Due to strong interferences and …