Constrained Contrastive Distribution Learning for Unsupervised Anomaly
Detection and Localisation in Medical Images

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

5 March 2021

Johan W. Verjans

Rajvinder Singh

Papers citing "Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images"

13 / 13 papers shown

Title
Frontiers in Intelligent Colonoscopy Ge-Peng Ji Jingyi Liu Peng Xu Nick Barnes Fahad Shahbaz Khan Salman Khan Deng-Ping Fan 49 4 0 22 Oct 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting Yankai Jiang Zhongzhen Huang Rongzhao Zhang Xiaofan Zhang Shaoting Zhang VLM 42 10 0 07 Dec 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection M. Astaraki F. Benetti Yousef Yeganeh I. Toma-Dasu Orjan Smedby Chunliang Wang Nassir Navab T. Wendler 20 6 0 21 May 2023
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories Julian Wiederer Julian Schmidt U. Kressel Klaus C. J. Dietmayer Vasileios Belagiannis AI4TS 45 7 0 05 Sep 2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography Yaojia Zheng Zhouwu Liu Rong Mo Ziyi Chen Weiqiao Zheng Ruixuan Wang 38 10 0 04 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision Sanat Ramesh V. Srivastav Deepak Alapatt Tong Yu Aditya Murali ... Saurav Sharma A. Fleurentin Georgios Exarchakis Alexandros Karargyris N. Padoy 23 42 0 01 Jul 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
On the Pitfalls of Using the Residual Error as Anomaly Score Felix Meissen Benedikt Wiestler Georgios Kaissis Daniel Rueckert UQCV 29 11 0 08 Feb 2022
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification Fengbei Liu Yu Tian Yuanhong Chen Yuyuan Liu Vasileios Belagiannis G. Carneiro 41 76 0 25 Nov 2021
Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama 30 11 0 07 Apr 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 307 10,621 0 19 Feb 2017