The Heffner Biomedical Imaging Laboratory was founded in 1997 by Prof Andrew LAINE.
Our work is dedicated to machine-learning and computing for medical and biological images toward image enhancement, lesion quantification, disease modeling, and correlation with clinical measures.
Our problem domain includes both basic science (e.g. image formation and acquisition), algorithmic design and clinical applications (e.g. measures of pathological processes). Our scope of imaging is broad and includes the study of image formation, denoising, segmentation, feature extraction and anatomo-physiological modeling. We are interested in imaging structures at the molecular, cellular, tissue, and organ levels of analysis.
We have a strong expertise in multiple methodological techniques such as deep-learning, generative modeling, image reconstruction, multiscale analysis, variational models,.... We deal with a very wide range of imaging modalities including 3D real-time echocardiography, lung CT, IVUS, brain MRI and PET.