Research

Breast Image Analysis

I study the application of image processing and computer vision for image analysis in breast cancer research. In particular, I am interested in the development of computerized, quantitative analysis methods for detection of breast cancer and risk assessment including different imaging modalities, such as full-field digital mammography (FFDM), breast magnetic resonance imaging (MRI), and digital breast tomosynthesis (DBT). Some of the main topics in this line include:

Anatomical breast representations [project page]

Parenchymal analysis for risk assessment

Breast percent density estimation

The Focus Cue in Digital Cameras

I study the application of image processing and computer vision for understanding the focus cue in digital cameras and its application to different problems, such as focus measure, autofocusing, and depth estimation. Some of the main topics in this line include:

Focus calibration in plenoptic cameras [project page]

Focus Measure Operators [project page]

Extended depth-of-field [project page]

Reliable focus-based depth estimation