Dual-distribution discrepancy with self-supervised refinement for
anomaly detection in medical images

Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images

9 October 2022

Xin Yang

Kwang-Ting Cheng

Papers citing "Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images"

8 / 8 papers shown

Title
L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation J. Müller Robert Wright Thomas Day Lorenzo Venturini Samuel Budd Hadrien Reynaud J. Hajnal Reza Razavi B. Kainz MedIm 59 0 0 13 Mar 2025
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview A. Chaddad Yan Hu Yihang Wu Binbin Wen R. Kateb 56 6 0 11 Mar 2025
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 49 5 0 02 May 2024
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 118 125 0 30 Sep 2021
Anomaly detection through latent space restoration using vector-quantized variational autoencoders Sergio Naval Marimont G. Tarroni DRL 120 56 0 12 Dec 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 488 0 05 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015