Skip to main content

Workshop Multimodal Retrieval in the Medical Domain (MRMD) 2015

  • Conference paper
Advances in Information Retrieval (ECIR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9022))

Included in the following conference series:

Abstract

The workshop Multimodal Retrieval in the Medical Domain (MRMD) dealt with various approaches of information retrieval in the medical domain including modalities such as text, structured data, semantic information, images, and videos. The goal was to bring together researchers of the various domains to combine approaches and compare experience.

The workshop included a special session on the VISCERAL benchmark that works on the retrieval of similar cases from a collection of 3D volumes of mainly CT and MRI data. Results of the participants were compared and should complement the general topic of multimodal retrieval.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hanbury, A., Boyer, C., Gschwandtner, M., Müller, H.: KHRESMOI: Towards a multi–lingual search and access system for biomedical information. In: Med–e–Tel, Luxembourg, pp. 412–416 (2011)

    Google Scholar 

  2. Hanbury, A., Müller, H., Langs, G., Menze, B.H.: Cloud–based evaluation framework for big data. In: Galis, A., Gavras, A. (eds.) Future Internet Assembly (FIA) book 2013, pp. 104–114. Springer, Heidelberg (2014)

    Google Scholar 

  3. Langs, G., Müller, H., Menze, B.H., Hanbury, A.: Visceral: Towards large data in medical imaging – challenges and directions. In: Greenspan, H., Müller, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2012. LNCS, vol. 7723, pp. 92–98. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Müller, H., del Toro, O.A.J., Hanbury, A., Langs, G., Foncubierta–Rodríguez, A. (2015). Workshop Multimodal Retrieval in the Medical Domain (MRMD) 2015. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_97

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-16354-3_97

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16353-6

  • Online ISBN: 978-3-319-16354-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics