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Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL
  Segmentation using Deep CNN

Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN

10 December 2018
H. P. Do
Yi Guo
A. Yoon
K. Nayak
ArXivPDFHTML

Papers citing "Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN"

3 / 3 papers shown
Title
Investigating Deep Learning Model Calibration for Classification
  Problems in Mechanics
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
S. Mohammadzadeh
Peerasait Prachaseree
Emma Lejeune
AI4CE
34
2
0
01 Dec 2022
Automatic quality control framework for more reliable integration of
  machine learning-based image segmentation into medical workflows
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows
Elena Williams
Sebastian Niehaus
J. Reinelt
A. Merola
P. Mihai
...
Evelyn Medawar
Daniel Lichterfeld
Ingo Roeder
N. Scherf
Maria del C. Valdés Hernández
26
3
0
06 Dec 2021
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
287
9,156
0
06 Jun 2015
1