Skip to main content

Home

  • Home
  • Keynotes
  • About
    • Organising Committee
    • Programme Committee
    • Exhibitors & Sponsors
    • Calls
      • Call for Papers
      • Call For Special Tracks
    • Important Dates
    • PRESENTATION INSTRUCTIONS
    • Call for proposals CBMS2018
    • Special Issues Calls for Papers
      • CFP Journal of Biomedical and Health Informatics
      • CFP Health and Technology
  • Programme
    • Programme
    • Social programme
  • Registration
  • Special Tracks
    • ST1 - Ambient Assisted Living based on IoT Technologies
    • ST2 - Social data and medical data analytics
    • ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems
    • ST4 - Computer-aided and robotic endoscopy systems
    • ST5 - Empowering Patients with Cancer through Connected Health
    • ST6 - Biomedical Imaging and Signal Processing tools for Cardiac Arrhythmias: Diagnosis, Treatment Planning and Therapy Delivery
    • ST7 - MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications
    • ST8- Biological Network Analysis in Computational Biology and Biomedicine
    • ST9 - Cloud Security and Data Privacy by Design
  • Venue
    • About Thessaloniki
    • Accommodation
    • Travel Information
  • Contact
  • Photo
  • My account
  • Video
Barbara Villarini
  • Home
Barbara Villarini's picture

Barbara Villarini

University of Westminster (UK)
Dr. Barbara Villarini is a lecturer in Computer Science at the University of Westminster. In 2012 she received her PhD in Information Engineering from the University of Perugia in Italy working on image and video processing, focusing on image and video quality assessment and 3D reconstruction and publishing in international journals and conferences. From 2013 she spent three years as research associate in the Centre for Medical Image Computing (CMIC) at the University College London, working on novel applications for image-guidance system for minimally-invasive cancer diagnosis and treatment, developing a regulatory-compliant medical device called SmartTarget®. From 2016 she is lecturer in Computer Science and part of the Computational Vision and Imaging Technology (CVIT) research group at the University of Westminster. Her interests are focused on combining image processing techniques with machine learning algorithms to solve challenging problems in the medical field in order to improve well being and health care. Currently her attention is focused on applying unsupervised deep learning methods for classification and recognition of morphological features of abdominal organs in MR imaging. She is also interested in estimating 3D shapes using photometric stereo and non-linear illumination models and emotion recognition for the detection of early dementia symptoms.

Presentations

Session Title Presentation
ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems

A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities

Saturday, June 24, 2017 - 09:00 to 11:00
Nothing yet

User login

  • Request new password

Quick Links

  • Presentation Instructions

Photos

twitter feed

Tweets by cbms2017

 

© 30th International Symposium on Computer-Based Medical Systems - CBMS 2017
AUTH Research Dissemination Center
June 22-24, 2017 Thessaloniki - Greece
  •  
  •