Section for Biomedical Image Analysis
The Section for Biomedical Image Analysis (SBIA), part of the Center of Biomedical Image Computing and Analytics — CBICA, is devoted to the development of computer-based image analysis methods, and their application to a wide variety of clinical research studies. Image analysis methodologies include functional and structural connectomics, radiomics and radiogenomics, machine learning in imaging, image registration, segmentation, population-based statistical analysis. Clinical research studies span a variety of clinical areas and organs, and are performed within a wide network of collaborations from within and outside Penn. They include brain diseases such as Alzheimer's, schizophrenia, autism, and TBI, evaluation of treatment effects in large clinical trials, and precision diagnostics and predictive modeling in breast and brain cancer.
- SBIA/CBICA leads the organization of the International Multimodal Brain Tumor Segmentation (BraTS) Challenge 2017, on Sep.14, in conjuction with the MICCAI 2017 conference in Quebec city (Canada).
- Biomedical Image Computing & Informatics Seminar Series: 2016-2017 Schedule
- For more SBIA/CBICA events please visit our Events section