Advertisement

Mathematical and Computational Oncology

First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings

  • George Bebis
  • Takis Benos
  • Ken Chen
  • Katharina Jahn
  • Ernesto Lima
Conference proceedings ISMCO 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11826)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11826)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Special Track: Tumor Evolvability and Intra-tumor Heterogeneity

    1. Front Matter
      Pages 1-1
    2. Gregory Kimmel, Jill Barnholtz-Sloan, Hanlee Ji, Philipp Altrock, Noemi Andor
      Pages 29-34
  3. Imaging and Scientific Visualization for Cancer Research

    1. Front Matter
      Pages 35-35
    2. Jennifer Eng, Elmar Bucher, Elliot Gray, Lydia Grace Campbell, Guillaume Thibault, Laura Heiser et al.
      Pages 37-43
  4. Statistical Methods and Data Mining for Cancer Research (SMDM)

    1. Front Matter
      Pages 45-45
    2. Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi
      Pages 47-61
  5. Spatio-temporal Tumor Modeling and Simulation (STTMS)

    1. Front Matter
      Pages 73-73
    2. Daniel Abler, Philippe Büchler, Russell C. Rockne
      Pages 75-86
    3. Cristina Vaghi, Anne Rodallec, Raphaelle Fanciullino, Joseph Ciccolini, Jonathan Mochel, Michalis Mastri et al.
      Pages 87-97
  6. Back Matter
    Pages 99-99

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019.

The 7 full papers presented were carefully reviewed and selected from 30 submissions.
The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS).

Keywords

artificial intelligence Bayes theorem bioinformatics clustering algorithms image analysis image processing image reconstruction image segmentation signal processing software design software engineering

Editors and affiliations

  • George Bebis
    • 1
  • Takis Benos
    • 2
  • Ken Chen
    • 3
  • Katharina Jahn
    • 4
  • Ernesto Lima
    • 5
  1. 1.University of NevadaRenoUSA
  2. 2.University of PittsburghPittsburghUSA
  3. 3.The University of Texas MD Anderson Cancer CenterHoustonUSA
  4. 4.ETH ZurichBaselSwitzerland
  5. 5.The University of TexasAustinUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-35210-3
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-35209-7
  • Online ISBN 978-3-030-35210-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site