↓ Skip to main content
What is this page? Embed badge

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Overview of attention for book
Cover of 'Uncertainty for Safe Utilization of Machine Learning in Medical Imaging'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
  3. Altmetric Badge
    Chapter 2 RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification
  4. Altmetric Badge
    Chapter 3 Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes
  5. Altmetric Badge
    Chapter 4 TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images
  6. Altmetric Badge
    Chapter 5 Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases
  7. Altmetric Badge
    Chapter 6 Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
  8. Altmetric Badge
    Chapter 7 Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis
  9. Altmetric Badge
    Chapter 8 How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation
  10. Altmetric Badge
    Chapter 9 Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction
  11. Altmetric Badge
    Chapter 10 Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI
  12. Altmetric Badge
    Chapter 11 Multi-layer Aggregation as a Key to Feature-Based OOD Detection
  13. Altmetric Badge
    Chapter 12 Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images
  14. Altmetric Badge
    Chapter 13 Redesigning Out-of-Distribution Detection on 3D Medical Images
  15. Altmetric Badge
    Chapter 14 On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging
  16. Altmetric Badge
    Chapter 15 Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
  17. Altmetric Badge
    Chapter 16 Breaking Down Covariate Shift on Pneumothorax Chest X-Ray Classification
  18. Altmetric Badge
    Chapter 17 Robustness Stress Testing in Medical Image Classification
  19. Altmetric Badge
    Chapter 18 Confidence-Aware and Self-supervised Image Anomaly Localisation
  20. Altmetric Badge
    Chapter 19 Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap
  21. Altmetric Badge
    Chapter 20 Pitfalls of Conformal Predictions for Medical Image Classification
  22. Altmetric Badge
    Chapter 21 Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities
Attention for Chapter 1: Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
3 Mendeley
Summary X
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
Chapter number 1
Book title
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
Published in
arXiv, September 2023
DOI 10.1007/978-3-031-44336-7_1
Book ISBNs
978-3-03-144335-0, 978-3-03-144336-7
Authors

Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis, Feiner, Leonhard F., Menten, Martin J., Hammernik, Kerstin, Hager, Paul, Huang, Wenqi, Rueckert, Daniel, Braren, Rickmer F., Kaissis, Georgios

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Lecturer 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Medicine and Dentistry 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2023.
All research outputs
#21,999,567
of 24,544,893 outputs
Outputs from arXiv
#726,497
of 989,686 outputs
Outputs of similar age
#141,580
of 175,597 outputs
Outputs of similar age from arXiv
#7,618
of 17,288 outputs
Altmetric has tracked 24,544,893 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 989,686 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 175,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17,288 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.