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Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications

9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part I

Conference proceedings info: IWINAC 2022.

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Table of contents (63 papers)

  1. Front Matter

    Pages i-xxviii
  2. Machine Learning in Neuroscience

    1. Front Matter

      Pages 1-1
    2. ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection

      • Hengde Zhu, Jian Wang, Shui-Hua Wang, Yu-Dong Zhang, Juan M. Górriz
      Pages 3-12
    3. Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing

      • Marco A. Formoso, Andrés Ortiz, Francisco J. Martínez-Murcia, Diego Aquino Brítez, Juan José Escobar, Juan Luis Luque
      Pages 13-22
    4. CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources

      • Diego Castillo-Barnes, J. Merino-Chica, R. Garcia-Diaz, C. Jimenez-Mesa, Juan E. Arco, J. Ramírez et al.
      Pages 23-33
    5. Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test

      • C. Jiménez-Mesa, Juan E. Arco, M. Valentí-Soler, B. Frades-Payo, M. A. Zea-Sevilla, A. Ortiz et al.
      Pages 34-42
    6. Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis

      • Nicolás J. Gallego-Molina, Andrés Ortiz, Francisco J. Martínez-Murcia, Ignacio Rodríguez-Rodríguez
      Pages 43-52
    7. Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia

      • Ignacio Rodríguez-Rodríguez, A. Ortiz, Marco A. Formoso, Nicolás J. Gallego-Molina, J. L. Luque
      Pages 53-62
    8. Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model

      • Afshin Shoeibi, Mitra Rezaei, Navid Ghassemi, Zahra Namadchian, Assef Zare, Juan M. Gorriz
      Pages 63-73
    9. Sleep Apnea Diagnosis Using Complexity Features of EEG Signals

      • Behnam Gholami, Mohammad Hossein Behboudi, Ali Khadem, Afshin Shoeibi, Juan M. Gorriz
      Pages 74-83
    10. Representational Similarity Analysis: A Preliminary Step to fMRI-EEG Data Fusion in MVPAlab

      • David López-García, J. M. González-Peñalver, J. M. Górriz, María Ruz
      Pages 84-94
    11. Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning

      • A. Ortiz, Juan E. Arco, Marco A. Formoso, Nicolás J. Gallego-Molina, Ignacio Rodríguez-Rodríguez, J. Martínez-Murcia et al.
      Pages 95-103
    12. Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images

      • Jose Antonio Simón-Rodríguez, Francisco Jesús Martinez-Murcia, Javier Ramírez, Diego Castillo-Barnes, Juan Manuel Gorriz
      Pages 104-113
    13. Capacity Estimation from Environmental Audio Signals Using Deep Learning

      • C. Reyes-Daneri, F. J. Martínez-Murcia, A. Ortiz
      Pages 114-124
    14. Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO

      • Wei Wang, Shui-Hua Wang, Juan Manuel Górriz, Yu-Dong Zhang
      Pages 125-135
    15. RDNet: ResNet-18 with Dropout for Blood Cell Classification

      • Ziquan Zhu, Zeyu Ren, Shui-Hua Wang, Juan M. Górriz, Yu-Dong Zhang
      Pages 136-144
    16. Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models

      • Afshin Shoeibi, Navid Ghassemi, Jonathan Heras, Mitra Rezaei, Juan M. Gorriz
      Pages 145-155
    17. Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks

      • Juan E. Arco, A. Ortiz, Diego Castillo-Barnes, Juan M. Górriz, Javier Ramírez
      Pages 156-165
    18. Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease

      • C. Jimenez-Mesa, Diego Castillo-Barnes, Juan E. Arco, F. Segovia, J. Ramirez, J. M. Górriz
      Pages 166-175
    19. Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease

      • Diego Castillo-Barnes, Juan E. Arco, C. Jimenez-Mesa, J. Ramirez, J. M. Górriz, D. Salas-Gonzalez
      Pages 176-186

Other Volumes

  1. Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications

    9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part I
  2. Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence

    9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part II

About this book

The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022.

The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings:

 

Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications,

Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.

Keywords

  • artificial intelligence
  • brain computer interface
  • classification
  • computer networks
  • computer systems
  • computer vision
  • Human-Computer Interaction (HCI)
  • image analysis
  • image processing
  • image reconstruction
  • interfaces (computer)
  • machine learning
  • neural networks
  • pattern recognition
  • signal processing
  • user interfaces

Editors and Affiliations

  • Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  • Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez, Félix de la Paz López

  • Ohio State University, Columbus, USA

    Hojjat Adeli

Bibliographic Information

  • Book Title: Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications

  • Book Subtitle: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part I

  • Editors: José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-06242-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-06241-4

  • eBook ISBN: 978-3-031-06242-1

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVIII, 651

  • Number of Illustrations: 30 b/w illustrations, 219 illustrations in colour

  • Topics: Computational Neuroscience

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-06242-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 109.99
Price excludes VAT (USA)