Scientific topics

The SIPAIM Society is an important forum for developing the field of managing medical information- The multidisciplinary nature of these emerging fields brings together clinicians, bioscientists, computer scientists, engineers, physicists, and other researchers who are contributing to, and need to keep ahead of, advances in the methodology and applications.

SIPAIM aims at contributing in the following fields:

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
  • 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