What We Do
SRL is a group of research scientists that create novel imaging biomarkers for the detection of cancer as well as the quantification of cancer risk factors. Our mission is to act as a translational catalyst between computational imaging science and cancer research. Work in our group focuses on developing innovative methodology for multimodality image analysis and on incorporating such methods into clinically relevant applications. As an active and growing research lab, the SRL welcomes people of all backgrounds to join our group.
For inquiries, please contact us.
Please email a CV and Cover Letter to Dr. Shepherd at firstname.lastname@example.org and if a reasonable match is found, you will be asked to come in for an interview.
- 3-component tomosynthesis breast imaging for improved lesion diagnosis (MBBE, present)
- Simplified 4-compartment model for body composition in athletes (KRS, present)
- Detection of melanoma lesions using deep learning approach (MS, EE, UH Manoa, 2019)
- Tejido Adiposo Visceral (TAV) en Adultos Hispanos y su Relación con Alteraciones Cardiometabólicas (PhD, Nutrition, University of Sonora, Mexico, 2019)
- Developing Measures of Interval Breast Cancer Risk (BioE, UCBerkeley, 2018)
- Advanced Clinical Metabolic Health Assessment Using 3D Optical and Dual Energy X-Ray Imaging (PhD, BioE, UCBerkeley, 2018)
- Development of Three-Compartment Breast Imaging for Clinical Applications in Dual Energy X-ray Absorptiometry (PhD, BioE, UCBerkeley, 2018)
- Measuring Water Content of Body Equivalent Materials using an RF Resonant Cavity (MS, Physics, SF State, 2017)
- Predictive modeling of whole body dual energy X-ray absorptiometry from 3D optical scans using shape and appearance modeling (MS, Biomedical Imaging, UCSF, 2017)
- The search for advance imaging descriptors of human body shape and their association to diabetes and other metablic disorders, (PhD, BioE, UCBerkeley, 2013)