Joseph Yuan-Chieh Lo
Professor of Radiology

My research focuses on computer vision and machine learning in medical imaging, with a focus on mammography and CT imaging. There are three specific projects:

First, we seek to address the challenge of overtreatment of DCIS, a type of pre-cancer of the breast. We develop conventional and deep learning algorithms to diagnose mammograms. We also explore the relationship between imaging findings and proteomic/genomic markers. Ultimately, we hope to predict which cases of DCIS are likely to be indolent vs. aggressive, thus providing women with more personalized risk assessment to inform their treatment decisions. This work is funded by NIH, DOD, CRUK, and other agencies.

Second, we design virtual breast models that are based on actual patient data and thus boast highly realistic breast anatomy. Furthermore, we can transform these virtual models into physical form using the latest 3D printing technology. In work funded by NIH, we are translating this work to produce a new generation of realistic phantoms for CT. Such physical phantoms can be scanned on actual imaging devices, allowing us to assess image quality in new ways that are not only quantitative but also clinically relevant.

Third, we are also pursuing an ambitious goal of simultaneously segmenting and classifying multiple diseases in multiple organs from chest-abdomen-pelvis CT scans. The goal is to provide automated labeling of hospital-scale data sets (potentially hundreds of thousands of studies) to produce sufficient data for deep learning studies. This work includes natural language processing to analyze radiology reports, and deep learning models for the segmentation and classification tasks.

Current Appointments & Affiliations

Contact Information

  • 2424 Erwin Road, Suite 302, Ravin Advanced Imaging Labs, Durham, NC 27705
  • Ravin Advanced Imaging Labs, 2424 Erwin Road, Suite 302, Durham, NC 27705
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