{"id":14,"date":"2019-05-31T06:40:11","date_gmt":"2019-05-31T06:40:11","guid":{"rendered":"https:\/\/derm-dev.pmacs.upenn.edu\/bernardis-lab\/?page_id=14"},"modified":"2022-12-22T12:35:51","modified_gmt":"2022-12-22T12:35:51","slug":"projects","status":"publish","type":"page","link":"https:\/\/dermatology.upenn.edu\/codelab\/projects\/","title":{"rendered":"Research Projects"},"content":{"rendered":"

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Research Projects<\/strong><\/h1>\n<\/div><\/section>\n
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Quantifying alopecia for clinical use<\/h3>
Quantifying and tracking alopecia areata in real time is an ongoing challenge for clinicians and investigators. Our goal is to build a quantitative system that is reproducible, standardized, and simple to use.<\/div><\/div><\/div><\/figcaption><\/figure><\/a>
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3D head reconstruction for mapping dermatological conditions in mixed reality<\/h3>
A new 3D morphable model fitting approach to enable mapping of clinical information on the 3D head of each person starting only from a hand-held camera or smartphone video.<\/div><\/div><\/div><\/figcaption><\/figure><\/a>
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Encoding clinicians decision process in grading acne<\/h3>
A new acne global grading system that can be used for clinical and research use, linking acne\u2019s visual features to a severity that reflects primary lesions as well as overall acne activity, and in particular scarring.<\/div><\/div><\/div><\/figcaption><\/figure><\/a>
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Head geometry analysis for image capture<\/h3>
Head geometry analysis for adapting image capture guidelines used in the Severity of Alopecia Tool for the pediatric population.<\/div><\/div><\/div><\/figcaption><\/figure><\/a><\/div><\/div>\n
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