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Learning semantic image quality for fetal ultrasound from noisy ranking
  annotation

Learning semantic image quality for fetal ultrasound from noisy ranking annotation

13 February 2024
Manxi Lin
Jakob Ambsdorf
Emilie Pi Fogtmann Sejer
Zahra Bashir
Chun Kit Wong
Paraskevas Pegios
Alberto Raheli
M. B. S. Svendsen
Mads Nielsen
M. Tolsgaard
Anders Christensen
Aasa Feragen
ArXivPDFHTML

Papers citing "Learning semantic image quality for fetal ultrasound from noisy ranking annotation"

5 / 5 papers shown
Title
Unsupervised Detection of Fetal Brain Anomalies using Denoising
  Diffusion Models
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
Markus Ditlev Sjøgren Olsen
Jakob Ambsdorf
Manxi Lin
C. Taksøe-Vester
M. B. S. Svendsen
Anders Christensen
Mads Nielsen
M. Tolsgaard
Aasa Feragen
Paraskevas Pegios
DiffM
MedIm
42
0
0
07 Aug 2024
Diffusion-based Iterative Counterfactual Explanations for Fetal
  Ultrasound Image Quality Assessment
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
Paraskevas Pegios
Manxi Lin
Nina Weng
M. B. S. Svendsen
Zahra Bashir
Siavash Bigdeli
Anders Christensen
M. Tolsgaard
Aasa Feragen
MedIm
55
5
0
13 Mar 2024
Explainable Image Quality Assessment for Medical Imaging
Explainable Image Quality Assessment for Medical Imaging
Caner Ozer
Arda Güler
A. Cansever
Ilkay Oksuz
24
2
0
25 Mar 2023
Fine-grained Correlation Loss for Regression
Fine-grained Correlation Loss for Regression
Chaoyu Chen
Xin Yang
Ruobing Huang
Xindi Hu
Yankai Huang
...
Yinyu Ye
Shuang Xue
Juzheng Miao
Yi Xiong
Dong Ni
28
6
0
01 Jul 2022
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
1