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Self-Supervised Out-of-Distribution Detection in Brain CT Scans

Self-Supervised Out-of-Distribution Detection in Brain CT Scans

10 November 2020
Abinav Ravi Venkatakrishnan
S. T. Kim
R. Eisawy
Franz MJ Pfister
Nassir Navab
    OOD
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Out-of-Distribution Detection in Brain CT Scans"

10 / 10 papers shown
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
326
17
0
28 Apr 2024
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using
  FMCW Radar
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
534
10
0
24 Jul 2023
Personalized Anomaly Detection in PPG Data using Representation Learning
  and Biometric Identification
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric IdentificationBiomedical Signal Processing and Control (BSPC), 2023
Ramin Ghorbani
Marcel J. T. Reinders
David Tax
213
6
0
12 Jul 2023
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational
  Autoencoder
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational AutoencoderInternational Conference on Information Photonics (ICIP), 2021
Mana Masuda
Ryo Hachiuma
Ryoske Fujii
Hideo Saito
Yusuke Sekikawa
3DPCDRL
251
34
0
07 Apr 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation
Confidence-Aware and Self-Supervised Image Anomaly Localisation
Johanna P. Müller
Matthew Baugh
Jeremy Tan
Mischa Dombrowski
Bernhard Kainz
UQCVOOD
243
6
0
23 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW
  Radar
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW RadarEuropean Signal Processing Conference (EUSIPCO), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
OODD
449
8
0
27 Feb 2023
A Baseline for Detecting Out-of-Distribution Examples in Image
  Captioning
A Baseline for Detecting Out-of-Distribution Examples in Image CaptioningACM Multimedia (ACM MM), 2022
Gabi Shalev
Gal-Lev Shalev
Joseph Keshet
OODD
215
11
0
12 Jul 2022
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift
  Detection
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park
Anas Awadalla
Tadayoshi Kohno
Shwetak N. Patel
OOD
205
45
0
26 Oct 2021
Spot the Difference: Detection of Topological Changes via Geometric
  Alignment
Spot the Difference: Detection of Topological Changes via Geometric AlignmentNeural Information Processing Systems (NeurIPS), 2021
Steffen Czolbe
Aasa Feragen
Oswin Krause
3DPC
289
5
0
09 Jun 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting
  the Long-Tail of Unseen Conditions
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha Roy
Jie Jessie Ren
Shekoofeh Azizi
Aaron Loh
Vivek Natarajan
...
Yao Xiao
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
321
120
0
08 Apr 2021
1
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