Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

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A survey on deep learning in medical image analysis

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Deep learning in medical image analysis

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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

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MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

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Support Vector Method for Novelty Detection

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Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

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Deep One-Class Classification

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f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

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Anomaly Detection with Robust Deep Autoencoders

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Learning to Adapt Structured Output Space for Semantic Segmentation

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Imaging of Macular Diseases with Optical Coherence Tomography

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A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

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Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

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REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

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Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection

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OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations

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EdgeConnect: Structure Guided Image Inpainting using Edge Prediction

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Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

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Deep learning in microscopy image analysis: a survey

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Fungal sinusitis: diagnosis with CT and MR imaging.

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StructureFlow: Image Inpainting via Structure-Aware Appearance Flow

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IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

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Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity

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Unsupervised Detection of Lesions in Brain MRI using Constrained Adversarial Auto-encodersPreprint

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Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

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Attention Guided Network for Retinal Image Segmentation

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Deep Retinal Vascular Anomalous Complexes in Advanced Age-related Macular Degeneration

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Automated segmentation of macular edema in OCT using deep neural networks

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Deep Learning in Medical Image Analysis

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Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading

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Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image

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Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction

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Real-time texture error detection on textured surfaces with compressed sensing

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Oversampling for Imbalanced Data via Optimal Transport

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Perceptual-Assisted Adversarial Adaptation for Choroid Segmentation in Optical Coherence Tomography

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Anomaly Detection via Reverse Distillation from One-Class Embedding

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CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

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Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning

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Deep Industrial Image Anomaly Detection: A Survey

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Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization

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Memorizing Structure-Texture Correspondence for Image Anomaly Detection

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Normative Prior Network for Anomaly Segmentation in Retinal OCT Images

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ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection

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Anomaly detection via gating highway connection for retinal fundus images

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A review on texture-based methods for anomaly detection in retinal optical coherence tomography images

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