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Robust Classification from Noisy Labels: Integrating Additional
  Knowledge for Chest Radiography Abnormality Assessment
v1v2v3 (latest)

Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment

12 April 2021
Sebastian Gündel
A. Setio
Florin-Cristian Ghesu
Sasa Grbic
Bogdan Georgescu
Andreas Maier
Dorin Comaniciu
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment"

4 / 4 papers shown
Structure is Supervision: Multiview Masked Autoencoders for Radiology
Structure is Supervision: Multiview Masked Autoencoders for Radiology
Sonia Laguna
Andrea Agostini
Alain Ryser
Samuel Ruipérez-Campillo
Irene Cannistraci
...
Nicolas Deperrois
Farhad Nooralahzadeh
Michael Krauthammer
Thomas M. Sutter
Julia E. Vogt
73
1
0
27 Nov 2025
Deep learning with noisy labels in medical prediction problems: a
  scoping review
Deep learning with noisy labels in medical prediction problems: a scoping review
Yishu Wei
Yu Deng
Cong Sun
Mingquan Lin
Hongmei Jiang
Yifan Peng
NoLa
209
24
0
19 Mar 2024
Self-supervised Learning from 100 Million Medical Images
Self-supervised Learning from 100 Million Medical Images
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Dominik Neumann
...
R. Vishwanath
J. Balter
Yue Cao
Sasa Grbic
Dorin Comaniciu
SSL
302
58
0
04 Jan 2022
Deep Learning-based Patient Re-identification Is able to Exploit the
  Biometric Nature of Medical Chest X-ray Data
Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray DataScientific Reports (Sci Rep), 2021
Kai Packhauser
Sebastian Gündel
Nicolas Münster
Christopher Syben
Vincent Christlein
Andreas Maier
OOD
272
69
0
15 Mar 2021
1
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