Learning image representations for anomaly detection: application to discovery of histological alterations in drug development

14 October 2022

Papers citing "Learning image representations for anomaly detection: application to discovery of histological alterations in drug development"

38 / 38 papers shown

Title
Anomalib: A Deep Learning Library for Anomaly Detection S. Akçay Dick Ameln Ashwin Vaidya B. Lakshmanan Nilesh A. Ahuja Ergin Utku Genc 99 113 0 16 Feb 2022
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 66 277 0 18 Oct 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis A. Gudovskiy Shun Ishizaka Kazuki Kozuka 109 401 0 27 Jul 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 80 910 0 15 Jun 2021
Unsupervised anomaly detection in digital pathology using GANs Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström MedIm 87 17 0 16 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 68 219 0 07 Mar 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 43 277 0 04 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,052 0 20 Nov 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 77 838 0 17 Nov 2020
Learning and Evaluating Representations for Deep One-class Classification Kihyuk Sohn Chun-Liang Li Jinsung Yoon Minho Jin Tomas Pfister SSL 122 200 0 04 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 632 41,003 0 22 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 106 797 0 24 Sep 2020
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations Navid Alemi Koohbanani Balagopal Unnikrishnan S. Khurram Pavitra Krishnaswamy Nasir M. Rajpoot SSL 68 166 0 12 Aug 2020
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders Nina Shvetsova Bart Bakker Irina Fedulova H. Schulz Dmitry V. Dylov 31 83 0 23 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 123 239 0 28 May 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 79 160 0 24 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 390 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 358 18,752 0 13 Feb 2020
On Model Evaluation under Non-constant Class Imbalance J. Brabec Tomás Komárek Vojtech Franc Lukás Machlica 31 37 0 15 Jan 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 115 580 0 28 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 72 662 0 06 Nov 2019
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection Nilesh A. Ahuja I. Ndiour Trushant Kalyanpur Omesh Tickoo OODD 70 69 0 25 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 137 18,115 0 28 May 2019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song J. Demmel Kurt Keutzer Cho-Jui Hsieh ODL 230 996 0 01 Apr 2019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology David Tellez G. Litjens Péter Bándi W. Bulten J. Bokhorst F. Ciompi Jeroen van der Laak MedIm OOD 50 486 0 18 Feb 2019
One-Class Convolutional Neural Network Poojan Oza Vishal M. Patel 55 161 0 24 Jan 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 63 757 0 22 Oct 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 76 1,391 0 17 May 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 172 1,816 0 13 Feb 2018
Learning Deep Features for One-Class Classification Pramuditha Perera Vishal M. Patel 114 371 0 16 Jan 2018
Multi-task Self-Supervised Visual Learning Carl Doersch Andrew Zisserman SSL 75 631 0 25 Aug 2017
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes Mohammad Sabokrou Mohsen Fayyaz Mahmood Fathy Zahra Moayed Reinhard Klette 69 430 0 03 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 766 36,794 0 25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 327 8,116 0 13 Aug 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 250 14,008 0 19 Nov 2015
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning Oren Z. Kraus Lei Jimmy Ba B. Frey 198 392 0 17 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014