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Out-of-distribution Detection in Medical Image Analysis: A survey

Out-of-distribution Detection in Medical Image Analysis: A survey

28 April 2024
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
Yuanmei Luo
Mini Han Wang
Weidong Wang
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
    OOD
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Papers citing "Out-of-distribution Detection in Medical Image Analysis: A survey"

11 / 11 papers shown
Title
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
OODD
VLM
40
0
0
05 May 2025
Delving into Out-of-Distribution Detection with Medical Vision-Language Models
Lie Ju
Sijin Zhou
Yukun Zhou
Huimin Lu
Zhuoting Zhu
P. Keane
Zongyuan Ge
VLM
45
0
0
02 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
60
0
0
01 Mar 2025
Generalized Out-of-Distribution Detection and Beyond in Vision Language
  Model Era: A Survey
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai "Helen" Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
40
10
0
31 Jul 2024
Transformer-based out-of-distribution detection for clinically safe
  segmentation
Transformer-based out-of-distribution detection for clinically safe segmentation
M. Graham
Petru-Daniel Tudosiu
P. Wright
W. H. Pinaya
J. U-King-im
...
H. Jäger
D. Werring
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
MedIm
19
21
0
21 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
178
220
0
02 Feb 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
195
328
0
01 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
321
75,834
0
18 May 2015
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