Skip to main content
Home

Main navigation

  • News
    • All news
    • Seminars
  • Presentation
    • CREATIS
    • Organigram
    • People directory
    • Staff
    • Contacts
    • Access
  • Research
    • Research teams
    • Transversal projects
    • Structuring projects
    • Imaging platform
    • Activity reports
    • Data information note
  • Contributions
    • Publications
    • Patents
    • Software
    • Challenge organization
  • Studies & Training
    • Implications dans les formations
    • Doctoral Studies
  • Jobs Opportunities
  • French French
  • English English
Search API form
User account menu
  • Account
    • Log in

Breadcrumb

  1. Accueil
  2. Master's subject

Master's subject

Assessment of Compton Camera imaging applied to Targeted Radionuclide Therapy

Data Consistency Conditions for improving image quality of x-ray CT

(Deep) machine learning for the prediction of patient coma outcome based on multimodality neuroimaging

AUTOMATIC CEPHALOMETRIC ANALYSIS WITH DEEP LEARNING

ACCURATE AND EFFICIENT MEDICAL I MAGE CLASSIFICATION

Deep learning-based ultrasonic image reconstruction for ultrafast echographic imaging

Medical Image Segmentation and Registration with Deep Learning

SPECT/CT quantification and patient dosimetry for 177Lu-DOTATATE treatment

Simulations and validation with real data for preclinical SPECT camera

Javascript-based medical image viewer development

Pagination

  • Previous page
  • 8
  • Next page
Master's subject

Barre liens pratiques

  • Authentication
  • Intranet
  • Rss feed
  • Creatis on Twitter
  • Webmail
Home

Footer menu

  • Contact
  • Map
  • Newsletter
  • Legal Notices