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About SIPAIM

SIPAIM

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.

The Society originated in the late 2000’s

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.

About SIPAIM

Join Us in Advancing Medical Research!

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

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20 +

SIPAIM Conferences

50

Host Countries

500 +

Researchers Engaged

1000 +

Papers Presented

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Mission & Vision

Participate in regional discussions and influence regional decisions throughout latin America related to the development of Biomedical Engineering. Propagate Biomedical Engineering in Latin America. Contribute to the professional and academic achievement, and scientific development of its members. Promote joint scientific work among its partners through projects and scientific exchanges. Organize the SIPAIM conference annually.

To become the leading latin American conference and academic network for experts related to all types of medical information including but not limited to Medical Images, biosignals and e-health.

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:

Medial 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, and Tractography

E-Health and Telehealth

Telemedicine, Storage, Transmission and Access to Medical Information, and Medical Information Retrieval

Machine Learning for Healthcare

Healthcare Information Systems (Multimodal Information Management), Technology Integration, adn 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, and 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, and Technology support in sport and physical activity

Representation based Biosignals Analysis

Sparse Representation, Signal/Image Generation and Reconstruction, Compressive Sensing, Dictionary Learning, Feature Learning, and 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, and Physician-computer interfaces using virtual/mixed/augmented reality