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Artificial Intelligence in Medicine

18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings

  • Martin Michalowski
  • Robert Moskovitch
Conference proceedings AIME 2020

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12299)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 12299)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Deep Learning

    1. Front Matter
      Pages 1-1
    2. Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch
      Pages 3-13
    3. Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry et al.
      Pages 14-25
    4. Gabriel Schamberg, Marcus Badgeley, Emery N. Brown
      Pages 26-36
    5. Sina Rashidian, Fusheng Wang, Richard Moffitt, Victor Garcia, Anurag Dutt, Wei Chang et al.
      Pages 37-48
    6. Theodoros Tsiligkaridis, Jennifer Sloboda
      Pages 49-58
    7. Pietro Bosoni, Marco Meccariello, Valeria Calcaterra, Cristiana Larizza, Lucia Sacchi, Riccardo Bellazzi
      Pages 59-63
  3. Natural Language Processing

    1. Front Matter
      Pages 65-65
    2. Anusha Bompelli, Greg Silverman, Raymond Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov et al.
      Pages 67-77
    3. Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li
      Pages 78-88
    4. Yves Mercadier, Jérôme Azé, Sandra Bringay
      Pages 89-99
    5. Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie et al.
      Pages 100-110
    6. Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
      Pages 111-121
    7. Konstantinos Bougiatiotis, Fotis Aisopos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras
      Pages 122-132
    8. Shazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke et al.
      Pages 133-145
  4. Predictive Modeling

    1. Front Matter
      Pages 147-147
    2. Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper
      Pages 149-159
    3. Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth Wick, Genevieve B. Melton, Gyorgy Simon
      Pages 170-180
    4. Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor et al.
      Pages 181-191
    5. Jaber Rad, Calvino Cheng, Jason G. Quinn, Samina Abidi, Robert Liwski, Syed Sibte Raza Abidi
      Pages 192-202
    6. Tomer Sagi, Emil Riis Hansen, Katja Hose, Gregory Y. H. Lip, Torben Bjerregaard Larsen, Flemming Skjøth
      Pages 203-213
    7. Omar El Rifai, Maelle Biotteau, Xavier de Boissezon, Imen Megdiche, Franck Ravat, Olivier Teste
      Pages 214-224
  5. Image Processing

    1. Front Matter
      Pages 225-225
    2. Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, W. Al Drobi, Shahryar Rahnamayan et al.
      Pages 227-237
    3. Jerry Wei, Arief Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita et al.
      Pages 238-248
    4. Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych
      Pages 249-259
    5. Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
      Pages 260-269
  6. Unsupervised Learning

    1. Front Matter
      Pages 271-271
    2. Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar
      Pages 273-286
    3. Anita Valmarska, Dragana Miljkovic, Nada Lavrač, Marko Robnik–Šikonja
      Pages 287-298
  7. Temporal Data Analysis

    1. Front Matter
      Pages 311-311
    2. Jeong Min Lee, Milos Hauskrecht
      Pages 313-324
    3. Ariane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen et al.
      Pages 325-335
    4. Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
      Pages 336-347
    5. Tianran Zhang, Muhao Chen, Alex A. T. Bui
      Pages 348-358
    6. Peter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres
      Pages 359-370
    7. Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett
      Pages 382-391
    8. Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi et al.
      Pages 392-402
    9. Ofir Dvir, Paul Wolfson, Laurence Lovat, Robert Moskovitch
      Pages 403-413
    10. Hossein Estiri, Sebastien Vasey, Shawn N. Murphy
      Pages 414-424
  8. Clinical Practice Guidelines

    1. Front Matter
      Pages 425-425
    2. Nick L. S. Fung, Marten J. van Sinderen, Valerie M. Jones, Hermie J. Hermens
      Pages 427-439
    3. William Van Woensel, Samina Abidi, Borna Jafarpour, Syed Sibte Raza Abidi
      Pages 440-450
  9. Information Retrieval

    1. Front Matter
      Pages 451-451
    2. Antonio Sze-To, Hamid Tizhoosh
      Pages 453-462
    3. Morteza Babaie, Hany Kashani, Meghana D. Kumar, H. R. Tizhoosh
      Pages 463-472

About these proceedings

Introduction

The LNAI 12299 constitutes the papers of the 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, which will be held online in August 2020.

 

The 42 full papers presented together with 1short papers in this volume were carefully reviewed and selected from a total of 103 submissions.

 

The AIME 2020 goals were to present and consolidate the international state of the art of AI in biomedical research from the perspectives of theory, methodology, systems, and applications.

Keywords

artificial intelligence bioinformatics computer networks computer science computer systems computer vision data mining databases education engineering image analysis image processing internet learning machine learning mathematics medical images neural networks semantics signal processing

Editors and affiliations

  1. 1.School of NursingUniversity of MinnesotaMinneapolisUSA
  2. 2.Ben-Gurion University of the NegevTonawandaUSA

Bibliographic information