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1903.03441
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Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
8 March 2019
T. Adler
Lynton Ardizzone
A. Vemuri
Leonardo Ayala
J. Gröhl
Thomas Kirchner
Sebastian J. Wirkert
Jakob Kruse
Carsten Rother
Ullrich Kothe
Lena Maier-Hein
UQCV
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Papers citing
"Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks"
9 / 9 papers shown
Title
PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks
Zirui Zang
Ahmad Amine
Rahul Mangharam
41
0
0
20 Apr 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
41
20
0
09 Oct 2023
Towards Explainability in Modular Autonomous Vehicle Software
Hongrui Zheng
Zirui Zang
Shuo Yang
Rahul Mangharam
29
0
0
01 Dec 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows
Felix Dräxler
Christoph Schnörr
Ullrich Kothe
36
7
0
25 Oct 2022
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks
Zirui Zang
Hongrui Zheng
Johannes Betz
Rahul Mangharam
40
6
0
24 Sep 2022
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
F. Balsiger
Alain Jungo
Olivier Scheidegger
B. Marty
M. Reyes
18
3
0
10 Aug 2020
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
35
482
0
28 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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