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Source Matters: Source Dataset Impact on Model Robustness in Medical
  Imaging

Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging

7 March 2024
Dovile Juodelyte
Yucheng Lu
Amelia Jiménez-Sánchez
Sabrina Bottazzi
Enzo Ferrante
V. Cheplygina
    OOD
ArXivPDFHTML

Papers citing "Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging"

5 / 5 papers shown
Title
Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction
Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction
Yucheng Lu
Shunxin Wang
Dovile Juodelyte
V. Cheplygina
MedIm
34
0
0
14 Apr 2025
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
Jannik Elsäßer
Laura Weihl
Veronika Cheplygina
Lisbeth Tangaa Nielsen
84
0
0
20 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
80
0
0
05 Dec 2024
Exploring connections of spectral analysis and transfer learning in
  medical imaging
Exploring connections of spectral analysis and transfer learning in medical imaging
Yucheng Lu
Dovile Juodelyte
Jonathan Victor
V. Cheplygina
52
1
0
16 Jul 2024
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
312
36,381
0
25 Aug 2016
1