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Generative AI Models in Time-Varying Biomedical Data: Scoping Review
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Generative AI in Medical Imaging: Applications, Challenges, and Ethics
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Gaussian Noise Filtering from ECG by Wiener Filter and Ensemble Empirical Mode Decomposition
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Machine learning-based reclassification of germline variants of unknown significance: The RENOVO algorithm
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Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network
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Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
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Medical image synthesis via conditional GANs: Application to segmenting brain tumours
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Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks
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Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review
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Deep dynamic imputation of clinical time series for mortality prediction
inferredcites →https://doi.org/10.1016/j.jbi.2017.04.001openalex-snapshot
Predicting healthcare trajectories from medical records: A deep learning approach
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Benchmarking deep learning models on large healthcare datasets
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ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
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Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study
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Learning to synthesise the ageing brain without longitudinal data
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GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images
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MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer’s disease progression modelling
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Single-Cell Proteomics Reveal that Quantitative Changes in Co-expressed Lineage-Specific Transcription Factors Determine Cell Fate
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inferredcites →https://doi.org/10.1016/s2589-7500(24)00025-6openalex-snapshot
Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
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M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity
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Inferring the molecular and phenotypic impact of amino acid variants with MutPred2
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MVP predicts the pathogenicity of missense variants by deep learning
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Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
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Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records
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Disease variant prediction with deep generative models of evolutionary data
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Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
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Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes
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Genome-wide prediction of disease variant effects with a deep protein language model
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Recurrent Neural Networks for Multivariate Time Series with Missing Values
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Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
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Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
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Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
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BEHRT: Transformer for Electronic Health Records
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Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning
inferredcites →https://doi.org/10.1038/s41598-023-30657-1openalex-snapshot
Transformers for cardiac patient mortality risk prediction from heterogeneous electronic health records
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A large language model for electronic health records
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Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications
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The imperative for regulatory oversight of large language models (or generative AI) in healthcare
inferredcites →https://doi.org/10.1038/s41746-023-00879-8openalex-snapshot
The shaky foundations of large language models and foundation models for electronic health records
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A study of generative large language model for medical research and healthcare
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Reconstructing growth and dynamic trajectories from single-cell transcriptomics data
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MIMIC-III, a freely accessible critical care database
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Tumour growth prediction of follow‐up lung cancer via conditional recurrent variational autoencoder
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Review of Medical Image Synthesis using GAN Techniques
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Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
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Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward
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Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
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Some results in time series analysis
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What generative AI means for trust in health communications
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Deep learning for healthcare: review, opportunities and challenges
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Multi-omics data integration by generative adversarial network
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DANN: a deep learning approach for annotating the pathogenicity of genetic variants
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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Extracting information from the text of electronic medical records to improve case detection: a systematic review
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Missing clinical and behavioral health data in a large electronic health record (EHR) system
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SIFT: predicting amino acid changes that affect protein function
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DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins
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Association between Family History of Benign Prostatic Hyperplasia and Urinary Symptoms: Results of a Population-based Study
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Outbreak of Covid-19 worldwide is on the decline -----Recurrent Neural Reinforcement Learning and Health Interventions to Curb the Spread of Covid-19 in the world
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Detection of nonneutral substitution rates on mammalian phylogenies
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Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
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An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records
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Epileptic Seizure Forecasting With Generative Adversarial Networks
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Decision Boundary-Based Anomaly Detection Model Using Improved AnoGAN From ECG Data
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Outlier-Based Autism Detection Using Longitudinal Structural MRI
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A Multi-Headed Transformer Approach for Predicting the Patient’s Clinical Time-Series Variables From Charted Vital Signs
inferredcites →https://doi.org/10.1109/access.2023.3296542openalex-snapshot
Synthetic ECG Signal Generation Using Probabilistic Diffusion Models
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Leveraging Statistical Shape Priors in GAN-Based ECG Synthesis
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Multivariate Time Series Missing Data Imputation Using Recurrent Denoising Autoencoder
inferredcites →https://doi.org/10.1109/bibm47256.2019.8983378openalex-snapshot
Disease Prediction Model Based on BiLSTM and Attention Mechanism
inferredcites →https://doi.org/10.1109/bibm55620.2022.9995129openalex-snapshot
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00220openalex-snapshot
RV-GAN: Recurrent GAN for Unconditional Video Generation
inferredcites →https://doi.org/10.1109/embc.2018.8512865openalex-snapshot
EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN
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Speech Synthesis Using EEG
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/ichi.2019.8904638openalex-snapshot
Recurrent Imputation for Multivariate Time Series with Missing Values
inferredcites →https://doi.org/10.1109/icip40778.2020.9191024openalex-snapshot
A GAN Based Multi-Contrast Modalities Medical Image Registration Approach
inferredcites →https://doi.org/10.1109/icpads56603.2022.00121openalex-snapshot
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489727openalex-snapshot
Augmenting The Size of EEG datasets Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/isbi.2018.8363845openalex-snapshot
Deformable medical image registration using generative adversarial networks
inferredcites →https://doi.org/10.1109/jbhi.2019.2916667openalex-snapshot
Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients
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Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised Variational Autoencoders
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Multiple-Instance Learning for Medical Image and Video Analysis
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Analysis of noise reduction techniques on QRS ECG waveform - by applying different filters
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Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
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Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks
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Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
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Predicting Hospital Readmission via Cost-Sensitive Deep Learning
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Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
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Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
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Cardiac Segmentation With Strong Anatomical Guarantees
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Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration
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Modeling EEG Data Distribution With a Wasserstein Generative Adversarial Network to Predict RSVP Events
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DiffMDD: A Diffusion-Based Deep Learning Framework for MDD Diagnosis Using EEG
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RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
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Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization
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Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research
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Dissecting racial bias in an algorithm used to manage the health of populations
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Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
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Concurrent imputation and prediction on EHR data using bi-directional GANs
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Investigating Explainability of Generative AI for Code through Scenario-based Design
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Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models
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Regulating ChatGPT and other Large Generative AI Models
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Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
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Security and Privacy on Generative Data in AIGC: A Survey
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An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis
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A Comprehensive Survey of Abstractive Text Summarization Based on Deep Learning
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Open Access Series of Imaging Studies: Longitudinal MRI Data in Nondemented and Demented Older Adults
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A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
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Health Insurance Portability and Accountability Act of 1996 (HIPAA)
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