Advertisement

Radiomics and Radiogenomics in Neuro-oncology

First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings

  • Hassan Mohy-ud-Din
  • Saima Rathore
Conference proceedings RNO-AI 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11991)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11991)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Kaustav Bera, Niha Beig, Pallavi Tiwari
    Pages 12-23
  3. Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci
    Pages 24-35
  4. Ahmad Chaddad, Mingli Zhang, Christian Desrosiers, Tamim Niazi
    Pages 36-43
  5. Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang
    Pages 44-52
  6. Tanay Chougule, Sumeet Shinde, Vani Santosh, Jitender Saini, Madhura Ingalhalikar
    Pages 53-60
  7. Saima Rathore, Ahmad Chaddad, Nadeem Haider Bukhari, Tamim Niazi
    Pages 61-69
  8. Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers et al.
    Pages 70-80
  9. Zhiyuan Xue, Bowen Xin, Dingqian Wang, Xiuying Wang
    Pages 81-90
  10. Back Matter
    Pages 91-91

About these proceedings

Introduction

This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019.

The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging. 

Keywords

artificial intelligence bioinformatics classification classification methods computer vision correlation analysis databases education image analysis image enhancement image processing image retrieval image segmentation information retrieval learning machine learning mathematics medical images neural networks pattern recognition

Editors and affiliations

  1. 1.LUMS School of Science and EngineeringLahorePakistan
  2. 2.University of PennsylvaniaPhiladelphiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-40124-5
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-40123-8
  • Online ISBN 978-3-030-40124-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site