Biomedical imaging is an interdisciplinary field with roots in biology, medicine, physics, engineering, mathematics, and computer science. It encompasses a broad spectrum of techniques and processes for acquiring, analyzing, storing, transmitting, visualizing and interpreting imaged molecules, cells, tissues, organs and organisms for the purposes of investigative research and a wide range of diagnostic and clinical activities.Investigators at the Center for Biomedical Imaging & Informatics continue to develop new approaches in automated image interpretation, statistical pattern recognition, data mining, computer-based diagnostics, and high-performance computing to address challenges in computational biology, and diagnostic pathology and radiology.
Image Mining for Analysis of Expression Patterns in Tissue Microarray
Collaborative Systems for Analyzing Tissue Microarrays
Informatics for Integrative Brain Tumor Whole Slide Analysis
Mechano-Visual Phenotying of Cancer: From Onset Through Disease Progression
Therapeutic Response Assessment
09/2017 to 09/2022
Evaluating Genomic and Computational Imaging Associations in Large-Scale, Longitudinal Cancer Studies.
02/2018 to 01/2023
Methods and Tools for Integrating Pathomics Data into Cancer Registries
09/2013 to 08/2018
Image Mining for Comparative Analysis of Expression Patterns in Tissue Microarrays
03/2013 to 02/2019
Mechano-Visual Phenotyping of Cancer: From Onset Through Disease Progression
09/2017 to 08/2018
Busch Biomedical Grant Program