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

Interpretability of Machine Intelligence in Medical Image Computing

Overview of attention for book
Cover of 'Interpretability of Machine Intelligence in Medical Image Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging
  3. Altmetric Badge
    Chapter 2 Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation
  4. Altmetric Badge
    Chapter 3 Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data
  5. Altmetric Badge
    Chapter 4 Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis
  6. Altmetric Badge
    Chapter 5 Attention-Based Interpretable Regression of Gene Expression in Histology
  7. Altmetric Badge
    Chapter 6 Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust
  8. Altmetric Badge
    Chapter 7 Interpretable Vertebral Fracture Diagnosis
  9. Altmetric Badge
    Chapter 8 Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT
  10. Altmetric Badge
    Chapter 9 KAM -- a Kernel Attention Module for Emotion Classification with EEG Data
  11. Altmetric Badge
    Chapter 10 Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful
Attention for Chapter 3: Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
Summary 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
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data
Chapter number 3
Book title
Interpretability of Machine Intelligence in Medical Image Computing
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-17976-1_3
Book ISBNs
978-3-03-117975-4, 978-3-03-117976-1
Authors

Kowarsch, Florian, Weijler, Lisa, Wödlinger, Matthias, Reiter, Michael, Maurer-Granofszky, Margarita, Schumich, Angela, Sajaroff, Elisa O., Groeneveld-Krentz, Stefanie, Rossi, Jorge G., Karawajew, Leonid, Ratei, Richard, Dworzak, Michael N.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%

This page is provided by Altmetric.