ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.03441
  4. Cited By
Uncertainty-aware performance assessment of optical imaging modalities
  with invertible neural networks

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
ArXivPDFHTML

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
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
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
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
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
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
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
F. Balsiger
Alain Jungo
Olivier Scheidegger
B. Marty
M. Reyes
21
3
0
10 Aug 2020
Explainable deep learning models in medical image analysis
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
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
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