I am an assistant professor at the Federal Institute of São Paulo (Brazil) and a Ph.D. student in Medical Image Analysis at the University of Campinas (Brazil) and University of Groningen (the Netherlands). A very passionate professor, researcher, boardgamer, and broadcaster.
I am an enthusiastic in data science and medical image analysis that truly believes computer-based analysis will change the future of healthcare. I am very happy to be working in this direction. My main motivation is improving clinical routine using computer aided diagnosis.My research interests are:
- medical and biological image analysis
- visual analytics
- machine learning
- pattern recognition
- computational vision
Federal Institute of Education, Science, and Technology of São Paulo (IFSP)
Tray E-Commerce Platform
Broadcaster (Volunteer Work)
Rádio Millenium FM 104.9
Doctoral Degreein MEDICAL IMAGE ANALYSIS
Title: Unsupervised Brain Anomaly Detection in MR Images.
University of Campinas
University of Groningen
Groningen, the Netherlands
Master Degreein PATTERN RECOGNITION
Title: A Fast and Robust Negative Mining Approach for User Enrollment in Face Recognition System.
University of Campinas
Bachelors Degreein COMPUTER SCIENCE
University of São Paulo
São Carlos-SP, Brazil
Medical Image Analysis
Automatic and semi-automatic segmentation, and detection of anomalies in MR brain images.
An wide range of traditional operations and segmentation techniques, and techniques to characterize images using image descriptors.
Several supervised and unsupervised techniques.
Different techniques for data analysis.
ProgrammingC/C++ Python / NumPy / Matplotlib / sklearn / Keras Java Ruby on Rails
Research & DevelopmentProject Management Scientific Paper Writing
LanguagesPortuguese (native) English
Best Student Paper Awards
BIOSTECT BIOIMAGING 2020, Valleta, Malta
Paper: BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification
Robert Wagner Best Student Paper Award at SPIE Medical Imaging, Orlando, USA
Paper: A Multi-Object Statistical Atlas Adaptive for Deformable Registration Errors in Anomalous Medical Image Segmentation
Publishing and Projects
Investigating the impact of supervoxel segmentation for unsupervised abnormal brain asymmetry detection (CMIG 2020)
Brain Anomaly Detection based on Registration Errors and Supervoxel Classification (BIOSTEC BIOIMAGING 2020)best student paper awards
BoardgamesCooperative 1x1 Party Games Puzzles Kick starters
GeekMovies Series Games Miniatures Posters T-Shirts
Do It YourselfMiniature Painting Toy Makeover Other nice stuffs =)
Get in touch
samuel dot martins at ifsp dot edu dot br