© 2018

PRedictive Intelligence in MEdicine

First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

  • Islem Rekik
  • Gozde Unal
  • Ehsan Adeli
  • Sang Hyun Park
Conference proceedings PRIME 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11121)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11121)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Gudmundur Einarsson, Line K. H. Clemmensen, Ditte Rudå, Anders Fink-Jensen, Jannik B. Nielsen, Anne Katrine Pagsberg et al.
    Pages 1-8
  3. Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
    Pages 9-17
  4. Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park
    Pages 18-25
  5. Muhammad Ilyas, Alice Othmani, Amine Nait-Ali
    Pages 34-41
  6. T. Janssoone, P. Rinder, P. Hornus, D. Kanoun
    Pages 42-50
  7. Adrià Casamitjana, Verónica Vilaplana, Paula Petrone, José Luis Molinuevo, Juan Domingo Gispert
    Pages 60-67
  8. Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin
    Pages 68-75
  9. Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
    Pages 76-84
  10. Maryamossadat Aghili, Solale Tabarestani, Malek Adjouadi, Ehsan Adeli
    Pages 112-119
  11. Victor Martin, Renaud Séguier, Aurélie Porcheron, Frédérique Morizot
    Pages 120-128
  12. Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik
    Pages 129-137
  13. Chiyu Feng, Ahmed Elazab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao
    Pages 138-146
  14. Sahin Olut, Yusuf H. Sahin, Ugur Demir, Gozde Unal
    Pages 147-154
  15. Enes Albay, Ugur Demir, Gozde Unal
    Pages 155-163

About these proceedings


This book constitutes the refereed proceedings of the First International Workshop on PRedictive Intelligence in MEdicine, PRIME 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.

The 20 full papers presented were carefully reviewed and selected from 23 submissions. The main aim of the workshop is to propel the advent of predictive models in a broad sense, with application to medical data. Particularly, the workshop will admit papers describing new cutting-edge predictive models and methods that solve challenging problems in the medical field.


Artificial intelligence Classification Classification accuracy Computer vision Feature selection Health informatics Image analysis Image and video acquisition Image processing Machine learning Medical technologies Neural Networks Pattern recognition Prediction Support Vector Machines (SVM)

Editors and affiliations

  • Islem Rekik
    • 1
  • Gozde Unal
    • 2
  • Ehsan Adeli
    • 3
  • Sang Hyun Park
    • 4
  1. 1.University of DundeeDundeeUK
  2. 2.Istanbul Technical UniversityIstanbulTurkey
  3. 3.Stanford UniversityStanfordUSA
  4. 4.Daegu Gyeongbuk Institute of Science and TechnologyDaeguKorea (Republic of)

Bibliographic information