The Fundación por la Sociedad Internacional de Procesamiento y Análisis de la Información Médica or "SIPAIM Society" is a non-profit foundation created to promote research and academic activities in the field of medical information management and Imaging. Its main objective is to bring together scientists, engineers, physicians, surgeons, educators and students who may contribute and participate in its mission and activities. The forming members come mainly, although not exclusively, from Iberoamerican countries.
The Society is governed by an elected Board of Directors (the SIPAIM Board) with officers including a President, Executive Director, Secretary and Treasurer. Society staff coordinators are appointed by the Board to help manage and conduct the various activities of the Society including managing membership, publications, public communications, and industrial relations.
When a group of students and faculty at the Universidad Nacional de Colombia and in Madrid, Spain, organized local workshops around topics related to medical information and image processing. These meetings eventually evolved into the International Symposium on Medical Information Processing and Analysis (SIPAIM) in 2009, and in the legal establishment of the society on March 6, 2015.
The SIPAIM Society is a non-profit foundation dedicated to promoting research and academic activities in medical information processing and analysis. Since its establishment in 2015, the society has brought together scientists, engineers, physicians, and students to advance innovation in the field.
SIPAIM has provided a collaborative space for knowledge exchange and scientific growth in
Medical Imaging
Biomedical Signals
Healthcare Informatics
Learn MoreThe 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:
Image Acquisition, Analysis and Interpretation, Multimodal Information Processing and Analysis, Computer-Aided Detection and Diagnosis, Image Registration, Image Segmentation, Shape representation, Image Reconstruction, and Tractography
Telemedicine, Storage, Transmission and Access to Medical Information, and Medical Information Retrieval
Healthcare Information Systems (Multimodal Information Management), Technology Integration, adn Medical Data Analysis and Machine Learning
Quantitative Analysis and Interpretation, Histological Pattern Recognition and Perception, Models for Detection and Discrimination, Virtual Microscopy, Image indexing and retrieval, Cellular image analysis, and Molecular/pathologic image analysis
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, and Technology support in sport and physical activity
Sparse Representation, Signal/Image Generation and Reconstruction, Compressive Sensing, Dictionary Learning, Feature Learning, and Unsupervised Learning
Visualization and Interaction, Multi-modality fusion, Dynamic, functional, physiologic and anatomic imaging, Imaging and analysis methods for surgery, Virtual reality for medical interventions, and Physician-computer interfaces using virtual/mixed/augmented reality