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Machine Learning for Brain Disorders

Overview of attention for book
Cover of 'Machine Learning for Brain Disorders'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Non-technical Introduction to Machine Learning
  3. Altmetric Badge
    Chapter 2 Classic Machine Learning Methods
  4. Altmetric Badge
    Chapter 3 Deep Learning: Basics and Convolutional Neural Networks (CNNs)
  5. Altmetric Badge
    Chapter 4 Recurrent Neural Networks (RNNs): Architectures, Training Tricks, and Introduction to Influential Research
  6. Altmetric Badge
    Chapter 5 Generative Adversarial Networks and Other Generative Models
  7. Altmetric Badge
    Chapter 6 Transformers and Visual Transformers
  8. Altmetric Badge
    Chapter 7 Clinical Assessment of Brain Disorders
  9. Altmetric Badge
    Chapter 8 Neuroimaging in Machine Learning for Brain Disorders
  10. Altmetric Badge
    Chapter 9 Electroencephalography and Magnetoencephalography
  11. Altmetric Badge
    Chapter 10 Working with Omics Data: An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science
  12. Altmetric Badge
    Chapter 11 Electronic Health Records as Source of Research Data
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    Chapter 12 Mobile Devices, Connected Objects, and Sensors
  14. Altmetric Badge
    Chapter 13 Medical Image Segmentation Using Deep Learning
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    Chapter 14 Image Registration: Fundamentals and Recent Advances Based on Deep Learning
  16. Altmetric Badge
    Chapter 15 Computer-Aided Diagnosis and Prediction in Brain Disorders
  17. Altmetric Badge
    Chapter 16 Subtyping Brain Diseases from Imaging Data
  18. Altmetric Badge
    Chapter 17 Data-Driven Disease Progression Modeling
  19. Altmetric Badge
    Chapter 18 Computational Pathology for Brain Disorders
  20. Altmetric Badge
    Chapter 19 Integration of Multimodal Data
  21. Altmetric Badge
    Chapter 21 Reproducibility in Machine Learning for Medical Imaging
  22. Altmetric Badge
    Chapter 22 Interpretability of Machine Learning Methods Applied to Neuroimaging
  23. Altmetric Badge
    Chapter 23 A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging
  24. Altmetric Badge
    Chapter 24 Main Existing Datasets for Open Brain Research on Humans
  25. Altmetric Badge
    Chapter 25 Machine Learning for Alzheimer’s Disease and Related Dementias
  26. Altmetric Badge
    Chapter 26 Machine Learning for Parkinson’s Disease and Related Disorders
  27. Altmetric Badge
    Chapter 27 Machine Learning in Neuroimaging of Epilepsy
  28. Altmetric Badge
    Chapter 28 Machine Learning in Multiple Sclerosis
  29. Altmetric Badge
    Chapter 29 Machine Learning for Cerebrovascular Disorders
  30. Altmetric Badge
    Chapter 30 The Role of Artificial Intelligence in Neuro-oncology Imaging
  31. Altmetric Badge
    Chapter 32 Machine Learning and Brain Imaging for Psychiatric Disorders: New Perspectives
Attention for Chapter 18: Computational Pathology for Brain Disorders
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Mentioned by

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1 X user

Citations

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Chapter title
Computational Pathology for Brain Disorders
Chapter number 18
Book title
Machine Learning for Brain Disorders
Published in
Neuromethods, February 2012
DOI 10.1007/978-1-0716-3195-9_18
Book ISBNs
978-1-07-163194-2, 978-1-07-163195-9
Authors

Jiménez, Gabriel, Racoceanu, Daniel

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 %
Student > Bachelor 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Neuroscience 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 27 November 2023.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Neuromethods
#1
of 1 outputs
Outputs of similar age
#132,818
of 168,692 outputs
Outputs of similar age from Neuromethods
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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