Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era

Attention Is All You Need

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MizAR 60 for Mizar 50

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Generative adversarial networks

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Image Super-Resolution Using Deep Convolutional Networks

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The UK Biobank resource with deep phenotyping and genomic data

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Untitled work

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Federated learning: Challenges, methods, and future directions

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WaveNet: a generative model for raw audio

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Federated Optimization in Heterogeneous Networks

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Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

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Deep Learning for Anomaly Detection: A Review

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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

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CNN architectures for large-scale audio classification

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Recurrent Neural Networks for Multivariate Time Series with Missing Values

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Federated Learning with Non-IID Data

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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

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DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

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Deep Learning for Anomaly Detection: A Review

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Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss.

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SEGAN: Speech Enhancement Generative Adversarial Network

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Federated learning on non-IID data: A survey

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Generative Adversarial Networks for Noise Reduction in Low-Dose CT

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Learning Texture Transformer Network for Image Super-Resolution

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Auto-Encoding Variational Bayes

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imputeTS: Time Series Missing Value Imputation in R

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Federated learning for predicting clinical outcomes in patients with COVID-19

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GAIN: Missing Data Imputation using Generative Adversarial NetsPreprint

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SMART on FHIR: a standards-based, interoperable apps platform for electronic health records

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MedGAN: Medical image translation using GANs

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Deep Unfolding Network for Image Super-Resolution

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Deep MR to CT Synthesis Using Unpaired Data

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Image denoising using deep CNN with batch renormalization

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HL7 FHIR: An Agile and RESTful approach to healthcare information exchange

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Efficient GAN-Based Anomaly DetectionPreprint

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Federated Learning: Collaborative Machine Learning without Centralized Training Data

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Data Cleaning: Overview and Emerging Challenges

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HoloClean: holistic data repairs with probabilistic inference

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BRITS: Bidirectional Recurrent Imputation for Time SeriesPreprint

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Outlier Detection with Autoencoder Ensembles

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Pre-symptomatic detection of COVID-19 from smartwatch data

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Wearable sensor data and self-reported symptoms for COVID-19 detection

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Handling incomplete heterogeneous data using VAEs

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Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders

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Multivariate Time Series Imputation with Generative Adversarial Networks

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Recurrent neural networks for noise reduction in robust ASR

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Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks

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Generative Adversarial Active Learning for Unsupervised Outlier Detection

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Deep Structured Energy Based Models for Anomaly Detection

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Holistic data cleaning: Putting violations into context

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CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series ImputationPreprint

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Generating synthetic CTs from magnetic resonance images using generative adversarial networks

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ActiveClean: interactive data cleaning for statistical modeling

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E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation

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Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing

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Generative Semi-supervised Learning for Multivariate Time Series Imputation

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Improvement of image quality at CT and MRI using deep learning

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Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource

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Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach

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ECG signal enhancement based on improved denoising auto-encoder

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Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer

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Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

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HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

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Feasibility of continuous fever monitoring using wearable devices

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Unsupervised Medical Image Translation Using Cycle-MedGAN

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Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

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Eformer: Edge Enhancement based Transformer for Medical Image DenoisingPreprint

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Speech Enhancement using Spectral Subtraction-type Algorithms: A Comparison and Simulation Study

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Deep Learning Models for Denoising ECG Signals

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Overview of the DICOM standard

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Sounds of COVID-19: exploring realistic performance of audio-based digital testing

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WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-End Speech Enhancement

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Adversarial Audio SynthesisPreprint

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Deep Recurrent Neural Networks for ECG Signal DenoisingPreprint

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CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging

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Novel Coronavirus Cough Database: NoCoCoDa

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Adversarial de-noising of electrocardiogram

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Efficient automated error detection in medical data using deep-learning and label-clustering

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Classifying and Predicting Covid-19 during pregnancy using RNN and ML Techniques

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A Robust Prioritization Framework of Data Quality Dimensions to Improve ML-Driven Healthcare Systems Using AHP and Sensitivity Analysis

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Megatrends in Biomedical AI for Health Care From Data Foundations to Clinical Deployment

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An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis

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Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes

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Integrating Advanced Language Models and Economic Incentives for Domain Adaptive Medical Data Stewardship

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Applications of Artificial Intelligence in clinical decision-making and technical support in Oncology: A Scoping Review protocolPreprint

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Ethical Considerations in AI-Enabled Healthcare

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Artificial Intelligence for Drug Target and Pathway Identification, Assessment, Validation, and Indication Expansion

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