© 2021

Artificial Intelligence in Medicine

19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings

  • Allan Tucker
  • Pedro Henriques Abreu
  • Jaime Cardoso
  • Pedro Pereira Rodrigues
  • David Riaño
Conference proceedings AIME 2021

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12721)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 12721)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Invited Talk

    1. Front Matter
      Pages 1-1
    2. Virginia Dignum
      Pages 3-8
  3. Image Analysis

    1. Front Matter
      Pages 9-9
    2. Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus et al.
      Pages 11-24
    3. Biraja Ghoshal, Stephen Swift, Allan Tucker
      Pages 36-42
    4. Giulia Campi, Giovanna Nicora, Giulia Fiorentino, Andrew Smith, Fulvio Magni, Silvia Garagna et al.
      Pages 43-47
  4. Predictive Modelling

    1. Front Matter
      Pages 49-49
    2. Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski et al.
      Pages 51-60
    3. Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía, Johannes Fürnkranz
      Pages 61-71
    4. Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien McCarthy, Uwe Aickelin
      Pages 83-92
    5. Davy Weissenbacher, Siddharth Rawal, Arjun Magge, Graciela Gonzalez-Hernandez
      Pages 93-102
    6. David Cuadrado, David Riaño
      Pages 103-113
    7. Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
      Pages 114-123
    8. Yuki Oba, Taro Tezuka, Masaru Sanuki, Yukiko Wagatsuma
      Pages 146-151
    9. Bernardo Cánovas-Segura, Antonio Morales, Jose M. Juárez, Manuel Campos
      Pages 152-156

About these proceedings


This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, held as a virtual event, in June 2021.

The 28 full papers presented together with 30 short papers were selected from 138 submissions. The papers are grouped in topical sections on image analysis; predictive modelling; temporal data analysis; unsupervised learning; planning and decision support; deep learning; natural language processing; and knowledge representation and rule mining.


artificial intelligence machine learning life and medical sciences visualization HCI information retrieval data management systems probability and statistics deep learning education image analysis image processing internet learning neural networks

Editors and affiliations

  1. 1.Brunel University LondonUxbridgeUK
  2. 2.University of CoimbraCoimbraPortugal
  3. 3.University of PortoPortoPortugal
  4. 4.University of PortoPortoPortugal
  5. 5.Universitat Rovira i VirgiliTarragonaSpain

Bibliographic information