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

Understanding and Interpreting Machine Learning in Medical Image Computing Applications

Overview of attention for book
Cover of 'Understanding and Interpreting Machine Learning in Medical Image Computing Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Alzheimer’s Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes
  3. Altmetric Badge
    Chapter 2 Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer’s Disease
  4. Altmetric Badge
    Chapter 3 Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer’s Disease
  5. Altmetric Badge
    Chapter 4 Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data
  6. Altmetric Badge
    Chapter 5 Towards Robust CT-Ultrasound Registration Using Deep Learning Methods
  7. Altmetric Badge
    Chapter 6 To Learn or Not to Learn Features for Deformable Registration?
  8. Altmetric Badge
    Chapter 7 Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning
  9. Altmetric Badge
    Chapter 8 Exploring Adversarial Examples
  10. Altmetric Badge
    Chapter 9 Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks
  11. Altmetric Badge
    Chapter 10 Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
  12. Altmetric Badge
    Chapter 11 Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images
  13. Altmetric Badge
    Chapter 12 Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment
  14. Altmetric Badge
    Chapter 13 Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification
  15. Altmetric Badge
    Chapter 14 Regression Concept Vectors for Bidirectional Explanations in Histopathology
  16. Altmetric Badge
    Chapter 15 Towards Complementary Explanations Using Deep Neural Networks
  17. Altmetric Badge
    Chapter 16 How Users Perceive Content-Based Image Retrieval for Identifying Skin Images
Attention for Chapter 8: Exploring Adversarial Examples
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
7 X users
patent
1 patent

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
28 Mendeley
Summary X Patents Dimensions citations
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
Exploring Adversarial Examples
Chapter number 8
Book title
Understanding and Interpreting Machine Learning in Medical Image Computing Applications
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-02628-8_8
Book ISBNs
978-3-03-002627-1, 978-3-03-002628-8
Authors

David Kügler, Alexander Distergoft, Arjan Kuijper, Anirban Mukhopadhyay, Kügler, David, Distergoft, Alexander, Kuijper, Arjan, Mukhopadhyay, Anirban

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Master 6 21%
Researcher 5 18%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 17 61%
Neuroscience 2 7%
Medicine and Dentistry 1 4%
Engineering 1 4%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 September 2022.
All research outputs
#6,059,904
of 24,002,307 outputs
Outputs from arXiv
#123,676
of 1,011,770 outputs
Outputs of similar age
#103,212
of 345,427 outputs
Outputs of similar age from arXiv
#3,333
of 24,909 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% of its peers.
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 345,427 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 24,909 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.

This page is provided by Altmetric.