Topics

The list of topics and subtopics is shown below. Papers may address one or more of the listed sub-topics.

Potential authors should not feel limited by the listed topics as it is not exhaustive. Unlisted but related sub-topics are also acceptable, provided they fit in one of the six main topic areas:

Medical and Biomedical Imaging
  • Image Acquisition, Analysis and Interpretation
  • Multimodal Information Processing and Analysis
  • Computer-Aided Detection and Diagnosis
  • Image Registration
  • Image Segmentation
  • Shape Representation
  • Image Reconstruction
  • Tractography

E-Health and Artificial Intelligence
  • Telemedicine
  • Healthcare Information Systems (Multimodal Information Management)
  • Storage, Transmission and Access to Medical Information
  • Technology Integration
  • Medical Information Retrieval
  • Medical Data Analysis and Machine Learning

Digital Pathology
  • Quantitative Analysis and Interpretation
  • Histological Pattern Recognition and Perception
  • Models for Detection and Discrimination
  • Virtual Microscopy
  • Image indexing and retrieval
  • Cellular image analysis
  • Molecular/pathologic image analysis

Gait Analysis and Biosignals
  • Multiscale / Multiresolution Representations
  • Bio-signal Modeling
  • Signal Acquisition, Analysis and Processing
  • Non-linear Dynamics
  • Signal Representation
  • Representation Based Signal Processing
  • Rehabilitation Systems
  • Tracking and Recognition for Rehabilitation Planning
  • Biomechanical Modelling
  • Technology Support in Sport and Physical Activity

Representation Based Biosignal Analysis
  • Sparse Representation
  • Signal/Image Generation and Reconstruction
  • Compressive Sensing
  • Dictionary Learning
  • Feature Learning
  • Unsupervised Learning

Analysis of Medical Procedures Through Imaging
  • Visualization and Interaction
  • Multi-modality fusion
  • Dynamic, functional, physiologic and anatomic imaging
  • Imaging and analysis methods for surgery
  • Virtual reality for medical interventions
  • Physician-computer interfaces using virtual/mixed/augmented reality