Image-Based Biomedical Modeling, Simulation and Visualization[slides]
Increasingly, biomedical researchers? need to build functional computer models from images (MRI, CT, EM, etc.). The "pipeline" for building such computer models includes image analysis (segmentation, registration, filtering), geometric modeling (surface and volume mesh generation), large-scale simulation (parallel computing, GPUs), large-scale visualization and evaluation (uncertainty, error).? In my presentation, I will present research challenges and software tools for? image-based biomedical modeling, simulation and visualization and discuss their application for solving important research and clinical problems in neuroscience, cardiology, and genetics.
Biomed Data at Work[slides]
Access to high-quality data drives our ability to ask questions and find answers. Our lab has a number of projects based on this premise. We have built MOPED, a human and model organisms' protein expression database, to provide a comprehensive summary of publicly available proteomics data. With MOPED, users can browse, sort, query, visualize, and compare their own data against existing studies. Along with access to data comes the need for high-quality analysis of data. We have built SPIRE, a web-based freely available proteomics analysis pipeline to support and ...