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Deep Learning for Medical Anomaly Detection – A Survey
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Big Data and Machine Learning in Health Care
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Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules
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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
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Colorful Image Colorization
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Medical Image Description Using Multi-task-loss CNN
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Deep Neural Network Based Classification of Tumourous and Non-tumorous Medical Images
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Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals
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Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients
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Unsupervised pathology detection in medical images using conditional variational autoencoders
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Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning
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Detection of early stages of Alzheimer’s disease based on MEG activity with a randomized convolutional neural network
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Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram
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Abnormal heart sound detection using temporal quasi-periodic features and long short-term memory without segmentation
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Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG
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EPILEPSIAE – A European epilepsy database
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Classification of heart sound signals using a novel deep WaveNet model
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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
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A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
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A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals
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Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation
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Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System
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Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI
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An automated system for epilepsy detection using EEG brain signals based on deep learning approach
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A review on deep learning methods for ECG arrhythmia classification
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Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy
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Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis
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A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
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An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems
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Neural muscle activation detection: A deep learning approach using surface electromyography
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f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
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Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation
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Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset
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Tree Memory Networks for modelling long-term temporal dependencies
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Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels
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Neural memory plasticity for medical anomaly detection
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Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls
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Explaining nonlinear classification decisions with deep Taylor decomposition
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Fine-grained action segmentation using the semi-supervised action GAN
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Epileptic seizure detection and prediction using stacked bidirectional long short term memory
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Artificial intelligence in retina
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Classification of ECG Arrhythmia using Recurrent Neural Networks
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Aberrant epileptic seizure identification: A computer vision perspective
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A hierarchical multimodal system for motion analysis in patients with epilepsy
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An overview of deep learning in medical imaging focusing on MRI
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Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study
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The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods
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Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
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Dermatologist-level classification of skin cancer with deep neural networks
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Association, correlation and causation
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Improving the accuracy of medical diagnosis with causal machine learning
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Causality matters in medical imaging
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Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
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Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
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Identifying facial phenotypes of genetic disorders using deep learning
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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
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Automatic diagnosis of neurological diseases using MEG signals with a deep neural network
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Extraction of Multi-Labelled Movement Information from the Raw HD-sEMG Image with Time-Domain Depth
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Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration
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Automated abnormality classification of chest radiographs using deep convolutional neural networks
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Development and validation of deep learning algorithms for scoliosis screening using back images
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Causal deconvolution by algorithmic generative models
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Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks
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A deep learning framework for supporting the classification of breast lesions in ultrasound images
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Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images
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A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks
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Recognition of normal–abnormal phonocardiographic signals using deep convolutional neural networks and mel-frequency spectral coefficients
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Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG
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Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
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Learning long-term dependencies with gradient descent is difficult
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Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images
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Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images
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Epileptic Seizure Forecasting With Generative Adversarial Networks
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Going deeper with convolutions
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Learning Deep Features for Discriminative Localization
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Deep Residual Learning for Image Recognition
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Xception: Deep Learning with Depthwise Separable Convolutions
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MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
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Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning
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Inter-Patient ECG Classification Using Deep Convolutional Neural Networks
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Robust Anomaly Detection on Unreliable Data
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Classification of Heart Diseases Based On ECG Signals Using Long Short-Term Memory
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Deep Motion Analysis for Epileptic Seizure Classification
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Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance
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Deep Learning based Gait Abnormality Detection using Wearable Sensor System
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Motion Signatures for the Analysis of Seizure Evolution in Epilepsy
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Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation
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Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features
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On Evaluating CNN Representations for Low Resource Medical Image Classification
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Analysis and classification of EEG signals using spectral analysis and recurrent neural networks
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Unsupervised Visual Representation Learning by Context Prediction
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Focal Loss for Dense Object Detection
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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Generative Adversarial Minority Oversampling
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Brain Tumor Type Classification via Capsule Networks
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GAN-based semi-supervised for imbalanced data classification
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Lung nodule detection in CT using 3D convolutional neural networks
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Feature selection and thyroid nodule classification using transfer learning
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Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization
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Heart Sound Segmentation Using Bidirectional LSTMs With Attention
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Identification of Children at Risk of Schizophrenia via Deep Learning and EEG Responses
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A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
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Phonocardiographic Sensing Using Deep Learning for Abnormal Heartbeat Detection
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Neonatal seizure detection using convolutional neural networks
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Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
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Deep Learning for Screening COVID-19 using Chest X-Ray Images
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Logistic Regression-HSMM-based Heart Sound Segmentation
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Focal Onset Seizure Prediction Using Convolutional Networks
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Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI
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Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control
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Domain Generalization in Biosignal Classification
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Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
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A Taxonomy for Neural Memory Networks
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Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks
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A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes
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Breast image feature learning with adaptive deconvolutional networks
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The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
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Extracting and composing robust features with denoising autoencoders
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ImageNet classification with deep convolutional neural networks
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Sequential Anomaly Detection using Inverse Reinforcement Learning
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Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions
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Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals
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Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data
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Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods
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Mindfulness Meditation Is Related to Long-Lasting Changes in Hippocampal Functional Topology during Resting State: A Magnetoencephalography Study
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Artificial Intelligence for Mobile Health Data Analysis and Processing
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A Review of Computer‐Aided Heart Sound Detection Techniques
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Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach
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Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults
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A convolutional neural network-based system to classify patients using FDG PET/CT examinations
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Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN
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Gated recurrent unit-based heart sound analysis for heart failure screening
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Survey on deep learning with class imbalance
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A comprehensive survey of anomaly detection techniques for high dimensional big data
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Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks
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Automated High Uptake Regions Recognition and Lymphoma Detection Based on Fully Convolutional Networks on Chest and Abdomen PET Image
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Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
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Towards Experienced Anomaly Detector Through Reinforcement Learning
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Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
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Toward Supervised Anomaly Detection
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Bidirectional RNN for Medical Event Detection in Electronic Health Records
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Deep Recurrent Neural Networks for seizure detection and early seizure detection systems
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Classification of Acoustic Physiological Signals Based on Deep Learning Neural Networks with Augmented Features
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Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016
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ECG arrhythmia classification using a 2-D convolutional neural network
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Ensembles of deep one-class classifiers for multi-class image classification
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Multimodal medical AI: A survey of vision–language models, knowledge-enhanced learning, and retrieval-augmented generation in clinical applications
inferred← citeshttps://doi.org/10.1016/j.modpat.2024.100680openalex-snapshot
Nongenerative Artificial Intelligence in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.12.093openalex-snapshot
GAN-based anomaly detection: A review
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130085openalex-snapshot
SRAD: A spatially-aware reconstruction network with anomaly suppression for multi-class anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130994openalex-snapshot
ESC-DRKD: Enhanced skip connection-based direct reverse knowledge distillation for medical image anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133672openalex-snapshot
Scale-aware modulation network for unsupervised medical anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135143openalex-snapshot
DynaCLIP: Dynamic prompt alignment and hierarchical semantic aggregation for zero-shot industrial anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.09.018openalex-snapshot
An Adversarial Time–Frequency Reconstruction Network for Unsupervised Anomaly Detection
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109627openalex-snapshot
QiVC-Net: Quantum-inspired variational convolutional network, with application to biosignal classification
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2025.121442openalex-snapshot
Conditional deep generative normative modeling for structural and developmental anomaly detection in the fetal brain
inferred← citeshttps://doi.org/10.1016/j.optlastec.2023.110296openalex-snapshot
Anomaly-prior guided inpainting for industrial visual anomaly detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.110167openalex-snapshot
Anomaly detection via gating highway connection for retinal fundus images
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.115125openalex-snapshot
A3AD: Enhancing CLIP with Triple-Aware Learning for Zero-Shot Anomaly Detection
inferred← citeshttps://doi.org/10.1016/j.procs.2025.07.122openalex-snapshot
Anomalous Samples for Few-Shot Anomaly Detection
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.107011openalex-snapshot
Variational autoencoder‐guided data augmentation for imbalanced medical diagnostics
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.109285openalex-snapshot
Emphasizing discrepancies: A hierarchical discrepancy-aware framework for industrial anomaly detection
inferred← citeshttps://doi.org/10.1016/j.vrih.2022.07.006openalex-snapshot
Transformer architecture based on mutual attention for image-anomaly detection
inferred← citeshttps://doi.org/10.1016/j.yebeh.2024.109735openalex-snapshot
Deep learning approaches for seizure video analysis: A review
inferred← citeshttps://doi.org/10.1038/s41592-023-01881-4openalex-snapshot
When seeing is not believing: application-appropriate validation matters for quantitative bioimage analysis
inferred← citeshttps://doi.org/10.1038/s41598-023-30589-wopenalex-snapshot
Unsupervised anomaly detection for posteroanterior chest X-rays using multiresolution patch-based self-supervised learning
inferred← citeshttps://doi.org/10.1038/s41598-023-47563-1openalex-snapshot
Diffusion MRI anomaly detection in glioma patients
inferred← citeshttps://doi.org/10.1038/s41598-025-13670-4openalex-snapshot
Adaptive clustering for medical image analysis using the improved separation index
inferred← citeshttps://doi.org/10.1038/s41746-026-02796-yopenalex-snapshot
Reassessing negative 24 h pH impedance tests for hidden gastroesophageal reflux disease using multi feature anomaly detection
inferred← citeshttps://doi.org/10.1049/ccs2.12079openalex-snapshot
Out‐of‐distribution detection based on multi‐classifiers
inferred← citeshttps://doi.org/10.1049/cit2.70000openalex-snapshot
Enhancing patient rehabilitation predictions with a hybrid anomaly detection model: Density‐based clustering and interquartile range methods
inferred← citeshttps://doi.org/10.1049/ell2.70459openalex-snapshot
Dual‐Encoder GAN With Dynamic Thresholding for Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1088/1361-6501/adafc8openalex-snapshot
Advancements in bearing health monitoring and remaining useful life prediction: techniques, challenges, and future directions
inferred← citeshttps://doi.org/10.1088/1361-6668/ac5d68openalex-snapshot
Evaluation of continuous fiber Bragg grating and signal processing method for hotspot detection at cryogenic temperatures
inferred← citeshttps://doi.org/10.1088/2631-8695/ae55fcopenalex-snapshot
Bidirectional visual-text prompts for zero-shot anomaly detection
inferred← citeshttps://doi.org/10.1093/jigpal/jzaf047openalex-snapshot
Anomaly detection comparison for photo-paroxysmal response detection
inferred← citeshttps://doi.org/10.1093/rasti/rzaf005openalex-snapshot
CARA: convolutional autoencoders for the detection of radio anomalies
inferred← citeshttps://doi.org/10.1109/acait63902.2024.11022120openalex-snapshot
The Integration of Deep Learning and Requirement Analysis in the Design of Recommendation Technology for Blended Learning Platforms
inferred← citeshttps://doi.org/10.1109/access.2022.3221427openalex-snapshot
A Heuristic Approach Using Template Miners for Error Prediction in Telecommunication Networks
inferred← citeshttps://doi.org/10.1109/access.2022.3230352openalex-snapshot
Machine Learning-Based Anomaly Detection for Multivariate Time Series With Correlation Dependency
inferred← citeshttps://doi.org/10.1109/access.2023.3242666openalex-snapshot
Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
inferred← citeshttps://doi.org/10.1109/access.2023.3260768openalex-snapshot
A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3262702openalex-snapshot
A Stethoscope for Drones: Transformers-Based Methods for UAVs Acoustic Anomaly Detection
inferred← citeshttps://doi.org/10.1109/access.2023.3346925openalex-snapshot
Long Short-Term Memory-Deep Belief Network-Based Gene Expression Data Analysis for Prostate Cancer Detection and Classification
inferred← citeshttps://doi.org/10.1109/access.2024.3360691openalex-snapshot
Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review
inferred← citeshttps://doi.org/10.1109/access.2024.3380910openalex-snapshot
An Intestinal Tumors Detection Model Based on Feature Distillation With Self-Correction Mechanism and PathGAN
inferred← citeshttps://doi.org/10.1109/access.2024.3477719openalex-snapshot
Unsupervised Anomaly Detection for Medical Images Based on Multi-Hierarchical Feature Reconstruction
inferred← citeshttps://doi.org/10.1109/access.2024.3491056openalex-snapshot
ACLASMA: Amplifying Cosine Losses for Anomalous Sound Monitoring in Automation
inferred← citeshttps://doi.org/10.1109/access.2025.3536639openalex-snapshot
ACMFed: Fair Semi-Supervised Federated Learning With Additional Compromise Model
inferred← citeshttps://doi.org/10.1109/access.2025.3589620openalex-snapshot
Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends
inferred← citeshttps://doi.org/10.1109/access.2025.3593420openalex-snapshot
Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning
inferred← citeshttps://doi.org/10.1109/ahpcai57455.2022.10087454openalex-snapshot
Anomaly Detection Based on Semi-Supervised Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/aibdf67964.2025.11440857openalex-snapshot
Transferring Vision-Language Models for Zero-Shot Anomaly Detection via Adaptive Feature Fusion
inferred← citeshttps://doi.org/10.1109/aiiot65859.2025.11105287openalex-snapshot
SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection
inferred← citeshttps://doi.org/10.1109/aixmhc65380.2025.00025openalex-snapshot
Spatial Attention-Guided Prompt Learning for Anomaly Segementation in Medical Images
inferred← citeshttps://doi.org/10.1109/bhi58575.2023.10313368openalex-snapshot
Empowering Wearable Seizure Forecasting with Scheduled Sampling
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995608openalex-snapshot
A machine-learning based tool for bioimages managing and annotation
inferred← citeshttps://doi.org/10.1109/cisp-bmei64163.2024.10906217openalex-snapshot
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
inferred← citeshttps://doi.org/10.1109/csr64739.2025.11130151openalex-snapshot
Practical confidential data cleaning using trusted execution environments
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01081openalex-snapshot
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00447openalex-snapshot
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01898openalex-snapshot
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00216openalex-snapshot
Autoencoders - A Comparative Analysis in the Realm of Anomaly Detection
inferred← citeshttps://doi.org/10.1109/cyberscitech68397.2025.00129openalex-snapshot
Federated Learning with Large Language Models
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11252734openalex-snapshot
A Brain Switch for SSVEP-Based BCI Speller Using an RNN-Based Detection Approach
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11254293openalex-snapshot
Navigating Severe Class Imbalance in Population Cohort Data
inferred← citeshttps://doi.org/10.1109/fuzz-ieee55066.2022.9882678openalex-snapshot
On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data
inferred← citeshttps://doi.org/10.1109/gcce59613.2023.10315359openalex-snapshot
Accuracy Consistency of Object Detection With Contrast Reduction by Pixel Value Limitation
inferred← citeshttps://doi.org/10.1109/healthcom60970.2024.10880771openalex-snapshot
Proposal of Healthcare System for Pathological Symptom Detection Employing Voice Analysis
inferred← citeshttps://doi.org/10.1109/iacis65746.2025.11211384openalex-snapshot
Anomaly Detection Algorithm for Ophthalmic Images Based on Unsupervised Learning
inferred← citeshttps://doi.org/10.1109/icaaic60222.2024.10575654openalex-snapshot
Advancing Brain Tumor Detection in MRI: Leveraging NAFNET Denoising for Enhanced CNN Performance
inferred← citeshttps://doi.org/10.1109/icabme66883.2025.11211657openalex-snapshot
From Closed to Open Vocabulary: A Systematic Review of Abnormality Detection in Medical Imaging
inferred← citeshttps://doi.org/10.1109/icaiihi57871.2023.10489790openalex-snapshot
Anomaly Detection in Healthcare: A Deep Learning Approach with Autoencoders
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096313openalex-snapshot
Learnable Flow Model Conditioned on Graph Representation Memory for Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890028openalex-snapshot
HYMAN: Hybrid Memory and Attention Network for Unsupervised Anomaly Detection
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