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On Modelling Label Uncertainty in Deep Neural Networks: Automatic
  Estimation of Intra-observer Variability in 2D Echocardiography Quality
  Assessment

On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment

2 November 2019
Zhibin Liao
H. Girgis
A. Abdi
H. Vaseli
J. Hetherington
R. Rohling
K. Gin
T. Tsang
Purang Abolmaesumi
    UQCV
    OOD
ArXivPDFHTML

Papers citing "On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment"

8 / 8 papers shown
Title
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
62
22
0
09 Oct 2023
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and
  Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
H. Vaseli
A. Gu
Ahmadi Amiri
Michael Y. Tsang
A. Fung
Nima Kondori
Armin Saadat
Purang Abolmaesumi
T. Tsang
53
12
0
26 Jul 2023
Echocardiographic Image Quality Assessment Using Deep Neural Networks
Echocardiographic Image Quality Assessment Using Deep Neural Networks
Robert B. Labs
M. Zolgharni
John P. Loo
18
6
0
02 Sep 2022
Image quality assessment for machine learning tasks using
  meta-reinforcement learning
Image quality assessment for machine learning tasks using meta-reinforcement learning
Shaheer U. Saeed
Yunguan Fu
V. Stavrinides
Zachary Michael Cieman Baum
Qianye Yang
...
Richard E. Fan
G. Sonn
J. A. Noble
D. Barratt
Yipeng Hu
31
36
0
27 Mar 2022
Image quality assessment by overlapping task-specific and task-agnostic
  measures: application to prostate multiparametric MR images for cancer
  segmentation
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation
Shaheer U. Saeed
Wen Yan
Yunguan Fu
F. Giganti
Qianye Yang
...
Richard E. Fan
G. Sonn
M. Emberton
D. Barratt
Yipeng Hu
47
9
0
20 Feb 2022
Confidence Calibration and Predictive Uncertainty Estimation for Deep
  Medical Image Segmentation
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
OOD
FedML
UQCV
26
266
0
29 Nov 2019
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
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
299
9,202
0
06 Jun 2015
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