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Shortcut Learning in Medical Image Segmentation

Shortcut Learning in Medical Image Segmentation

11 March 2024
Manxi Lin
Nina Weng
K. Mikolaj
Zahra Bashir
M. B. S. Svendsen
M. Tolsgaard
Anders Christensen
Aasa Feragen
    SSeg
    VLM
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Papers citing "Shortcut Learning in Medical Image Segmentation"

4 / 4 papers shown
Title
Improving Automatic Fetal Biometry Measurement with Swoosh Activation
  Function
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function
Shijia Zhou
E. Ahn
Hao Wang
Ann Quinton
Narelle Kennedy
Pradeeba Sridar
Ralph Nanan
Jinman Kim
70
1
0
16 Dec 2024
Mask of truth: model sensitivity to unexpected regions of medical images
Mask of truth: model sensitivity to unexpected regions of medical images
Théo Sourget
Michelle Hestbek-Møller
Amelia Jiménez-Sánchez
Jack Junchi Xu
V. Cheplygina
AAML
75
0
0
05 Dec 2024
Removing confounding information from fetal ultrasound images
Removing confounding information from fetal ultrasound images
K. Mikolaj
Manxi Lin
Zahra Bashir
M. B. S. Svendsen
M. Tolsgaard
Anders Christensen
Aasa Feragen
27
3
0
24 Mar 2023
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,800
0
18 May 2015
1