Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

17 March 2017

Papers citing "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"

50 / 268 papers shown

Title
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis Dejan Štepec D. Skočaj MedIm 35 6 0 28 Apr 2021
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation Dejan Štepec D. Skočaj MedIm 35 12 0 28 Apr 2021
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning Zhi Chen Jiang Duan Li Kang Guoping Qiu AI4CE 47 31 0 24 Apr 2021
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy Izabela Horvath Johannes C. Paetzold Oliver Schoppe Rami Al-Maskari Ivan Ezhov Suprosanna Shit Hongwei Bran Li Ali Ertuerk Bjoern H. Menze MedIm 29 9 0 22 Apr 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 30 6 0 20 Apr 2021
Mixed supervision for surface-defect detection: from weakly to fully supervised learning Jakob Bozic Domen Tabernik D. Skočaj 14 247 0 13 Apr 2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers Andrei Manolache Florin Brad Elena Burceanu UQCV 38 33 0 12 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 27 754 0 08 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 22 212 0 07 Apr 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation J. Song Kyeongbo Kong Ye In Park Suk-Ju Kang 19 3 0 31 Mar 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 35 12 0 29 Mar 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection John Taylor Jewell Vahid Reza Khazaie Y. Mohsenzadeh 19 27 0 27 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 331 0 22 Mar 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 39 29 0 22 Mar 2021
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection Abdul Waheed Muskan Goyal Deepak Gupta Ashish Khanna F. Al-turjman P. Pinheiro MedIm 22 574 0 08 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 23 214 0 07 Mar 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays A. Spahr Behzad Bozorgtabar Jean-Philippe Thiran 27 16 0 19 Feb 2021
U-LanD: Uncertainty-Driven Video Landmark Detection Mohammad Jafari C. Luong Michael Y. Tsang A. Gu N. V. Woudenberg R. Rohling T. Tsang Purang Abolmaesumi 40 12 0 02 Feb 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya Zhang Yanfeng Wang Qi Tian 27 12 0 09 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 32 22 0 05 Dec 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 11 0 0 11 Nov 2020
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition Elnaz Soleimani G. Khodabandelou A. Chibani Y. Amirat 33 1 0 11 Nov 2020
Self-Supervised Out-of-Distribution Detection in Brain CT Scans Abinav Ravi Venkatakrishnan S. T. Kim R. Eisawy Franz MJ Pfister Nassir Navab OOD 19 22 0 10 Nov 2020
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges Yash Raj Shrestha Vaibhav Krishna G. Krogh 37 165 0 02 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 24 247 0 12 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning Noga H. Rotman Michael Schapira Aviv Tamar OffRL 38 5 0 07 Oct 2020
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray Saman Motamed Patrik Rogalla Farzad Khalvati OOD MedIm 22 62 0 06 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 28 4 0 05 Oct 2020
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting B. Nguyen Adam Feldman S. Bethapudi A. Jennings Chris G. Willcocks 30 29 0 05 Oct 2020
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey A. Banegas-Luna Jorge Pena-García Adrian Iftene F. Guadagni P. Ferroni Noemi Scarpato Fabio Massimo Zanzotto A. Bueno-Crespo Horacio Pérez-Sánchez OOD 13 1 0 01 Oct 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 28 204 0 16 Sep 2020
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data Guansong Pang Anton Van Den Hengel Chunhua Shen LongBing Cao OffRL 38 85 0 15 Sep 2020
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise Anne-Sophie Collin Christophe De Vleeschouwer 29 42 0 29 Aug 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 20 102 0 21 Aug 2020
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images Kang Zhou Yuting Xiao Jianlong Yang Jun Cheng Wen Liu Weixin Luo Zaiwang Gu Jiang-Dong Liu Shenghua Gao MedIm 44 115 0 09 Aug 2020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction Changhee Han L. Rundo K. Murao T. Noguchi Yuki Shimahara Z. '. Milacski S. Koshino Evis Sala Hideki Nakayama Shinichi Satoh MedIm 98 159 0 24 Jul 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 57 142 0 24 Jul 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 39 378 0 19 Jul 2020
Backpropagated Gradient Representations for Anomaly Detection Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 30 71 0 18 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 11 588 0 16 Jul 2020
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images I. Laradji Pau Rodríguez López Oscar Manas Keegan Lensink M. Law Lironne Kurzman William Parker David Vazquez Derek Nowrouzezahrai 21 84 0 04 Jul 2020
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab 30 37 0 23 Jun 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures Saul Calderon-Ramirez Luis Oala J. Torrents-Barrena Shengxiang-Yang Armaghan Moemeni Wojciech Samek Miguel A. Molina-Cabello 27 10 0 14 Jun 2020
Perceiving Music Quality with GANs Agrin Hilmkil Carl Thomé Anders Arpteg 23 3 0 11 Jun 2020
Data Augmentation using Generative Adversarial Networks (GANs) for GAN-based Detection of Pneumonia and COVID-19 in Chest X-ray Images Saman Motamed Patrik Rogalla Farzad Khalvati MedIm 16 4 0 05 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 26 88 0 30 May 2020
Unsupervised anomaly localization using VAE and beta-VAE Leixin Zhou Wenxiang Deng Xiaodong Wu DRL 38 15 0 19 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 34 16 0 05 May 2020
Unsupervised Lesion Detection via Image Restoration with a Normative Prior Xiaoran Chen Suhang You K. Tezcan E. Konukoglu MedIm 22 135 0 30 Apr 2020