Constrained Contrastive Distribution Learning for Unsupervised Anomaly
  Detection and Localisation in Medical Images
v1v2 (latest)

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

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

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

46 / 46 papers shown
Title
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly
  Detection
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly DetectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yi Gu
Yi Lin
Kwang-Ting Cheng
Hao Chen
157
5
0
26 Sep 2024
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution
  Anomaly Detection in Chest X-Rays
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-RaysInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
147
13
0
24 Jul 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
Unsupervised Pathology Detection: A Deep Dive Into the State of the ArtIEEE Transactions on Medical Imaging (TMI), 2023
271
23
0
01 Mar 2023
Task-oriented Self-supervised Learning for Anomaly Detection in
  Electroencephalography
Task-oriented Self-supervised Learning for Anomaly Detection in ElectroencephalographyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
110
15
0
04 Jul 2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-RaysInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Wuhan
90
19
0
08 Jun 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2022
170
146
0
28 Mar 2022
On the Pitfalls of Using the Residual Error as Anomaly Score
On the Pitfalls of Using the Residual Error as Anomaly ScoreInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Felix Meissen
Benedikt Wiestler
Georgios Kaissis
Daniel Rueckert
93
18
0
08 Feb 2022
Self-Supervised Learning for Gastritis Detection with Gastric X-ray
  Images
Self-Supervised Learning for Gastritis Detection with Gastric X-ray ImagesInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2021
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
141
15
0
07 Apr 2021

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