Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data

31 October 2018

Papers citing "Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data"

7 / 7 papers shown

Title
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition Weiyi Zhang Peranut Chotcomwongse Yinwen Li Pusheng Xu Ruijie Yao ... Shujun Wang Yalin Zheng M. He Danli Shi Paisan Ruamviboonsuk 76 0 0 09 May 2025
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration R. Holland Oliver Leingang Christopher Holmes Philipp Anders Rebecca Kaye ... H. Scholl S. Sivaprasad A. Lotery Daniel Rueckert Martin J. Menten 53 2 0 11 Jan 2023
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms Guangzhi Ma Jie Lu Feng Liu Zhen Fang Guangquan Zhang 62 6 0 09 Jun 2022
Unsupervised Anomaly Detection in MR Images using Multi-Contrast Information Byungjai Kim Kinam Kwon Changheun Oh Hyunkyung Park 34 2 0 02 May 2021
Anomaly Detection with Tensor Networks Jinhui Wang Chase Roberts G. Vidal Stefan Leichenauer 83 41 0 03 Jun 2020
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image Kang Zhou Shenghua Gao Jun Cheng Zaiwang Gu Huazhu Fu Zhi Tu Jianlong Yang Yitian Zhao Jiang-Dong Liu GAN MedIm 223 67 0 28 Nov 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 130 138 0 29 May 2019