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The topic areas are expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. Brain Imaging
     - Acquisition
     - Multimodal Information Processing and Analysis
     - Visualization and Interaction
     - Computer-Aided Detection and Diagnosis
     - Quantitative Analysis and Interpretation
     - Multiscale / Multiresolution Representations
     - Registration of Multimodal Medical Data

2. Imaging for Cancer Therapy
     - Visualization and Interaction
     - Quantitative Analysis and Interpretation
     - Registration of Multimodal Medical Data
     - Segmentation
     - Statistical and Computational Models

3. e-Health
     - Telemedicine
     - Healthcare Information Systems (Multimodal Information Management)
     - Storage, Transmission and Access to Medical Information
     - Medical Devices, Monitoring and Calibration
     - Clinical Applications and Technology Integration
     - Medical Information Retrieval

4. Machine Learning/ Pattern Recognition for Biomedical Application
     - Classification
     - Color and Texture Analyses
     - Image-based Modeling and 3D Reconstruction
     - Object detection and Localization
     - Image Enhancement and Restoration
     - Machine Learning Technologies for Vision
     - Tracking and Visual Navigation
5. Biosignals
     - Medical Signal Acquisition, Analysis and Processing
     - Real-Time Systems
     - Fuzzy Systems and Signals
     - Physiological Processes and Bio-signal Modeling, Non-linear dynamics
     - Signal Representation

6. Biosignal and Bioimage
     - Sparse Representation
     - Signal/Image Generation and Reconstruction
     - Compressive Sensing
     - Segmentation and Grouping
     - Dictionary Learning
     - Signal/Image Analysis and Interpretation

7. Digital Patology
     - Quantitative Analysis and Interpretation
     - Pattern Recognition and Perception
     - Models for Detection and Discrimination
     - Acquisition
     - Virtual Microscopy