<\/span><\/span><\/div>
\n

Publications<\/strong><\/h3>\n
Gudobba C, Mane T, Bayramova A, Rodriguez N, Castelo-Soccio L, Ogunleye TA, Taylor SC, Cotsarelis G, Bernardis E,\u00a0Automating Hair Loss Labels for Universally Scoring Alopecia from Images\u00a0–\u00a0Rethinking Alopecia Scores<\/strong>, JAMA Dermatology, 2022.<\/p>\n
Mane T, Bayramova A, Daniilidis K, Mordohai P, Bernardis E, Single-camera 3D head fitting for mixed reality clinical applications<\/strong>, Computer Vision and Image Understanding, 2022; 218: 103384.<\/p>\n
Bayramova A, Mane T, Castelo-Soccio L, Ogunleye T, Taylor S, Bernardis E, Photographing Alopecia: How Many Pixels Are Needed for Clinical Evaluation?<\/strong> J Digital Imaging, 2020; 1-6.<\/p>\n
Yu K, Syed MN, Bernardis E, Gelfand JM, Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review<\/strong>, J Psoriasis and Psoriatic Arthritis 2020; 5 (4), 147-159.<\/p>\n
Bernardis E, Shou H, Barbieri JS, McMahon PJ, Perman MJ, Rola LA, Streicher JL, Treat JR, Castelo-Soccio L, Yan AC. Development and Initial Validation of a Multidimensional Acne Global Grading System Integrating Primary Lesions and Secondary Changes.<\/strong> JAMA Dermatol<\/em>. 2020;156(3):296-302.<\/p>\n
Bernardis E, Nukpezah J, Li P, Christensen T, Castelo-Soccio L. Pediatric severity of alopecia tool<\/strong>. Pediatr Dermatol. 2018 Jan;35(1):e68-e69.<\/p>\n

Selected Past Publications<\/strong><\/h3>\n
Bernardis E, Castelo-Soccio L. Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation<\/strong>. J Investig Dermatol Symp Proc. 2018 Jan;19(1):S34-S40.<\/p>\n
Bernardis E, Zhang Y, Konukoglu E, Ou Y, Javitz HS, Axel L, Metaxas D, Desjardins B, Pohl KM. eCurves: A Temporal Shape Encoding<\/strong>. IEEE Trans Biomed Eng. 2017 Apr;65(4):733-744.<\/p>\n
Pathak MM, Nourse JL, Tran T, Hwe J, Arulmoli J, Le DT, Bernardis E, Flanagan LA, Tombola F. Stretch-activated ion channel Piezo1 directs lineage choice in human neural stem cells<\/strong>. Proc Natl Acad Sci U S A. 2014 Nov 11;111(45):16148-53.<\/p>\n
Bernardis E, Pohl KM, Davatzikos C. Extracting evolving pathologies via spectral clustering. Inf Process Med Imaging<\/strong>. 2013;23:680-91.<\/p>\n
Fragkiadaki K, Zhang W, Shi J, Bernardis E. Structural-flow trajectories for unravelling 3D tubular bundles<\/strong>. Med Image Comput Comput Assist Interv. 2012;15(Pt 3):631-8.<\/p>\n
Bernardis E, Yu SX, Pop Out Small and Thin Structures from a Large Microscopic Image, Medical Image Analysis (MedIA)<\/strong>, Special Issue on the 2010 Conference on Medical Image Computing and Computer-Assisted Intervention, Oct 2011.<\/p>\n
Bernardis E, Yu SX, Finding Dots: Segmentation as Popping out Regions from Boundaries, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/strong>, San Francisco, California, 13-18 June 2010.<\/p>\n
Bernardis E, Yu SX, Structural Correspondence as A Contour Grouping Problem, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA)<\/strong>, San Francisco, California, 14 June 2010.<\/p>\n
Bernardis E, Shi J, Shape Extraction through Contour Region Stitching, International Symposium in Visual Computing (ISVC)<\/strong>, Las Vegas, Nevada, December 2008.<\/p>\n<\/div><\/section><\/p><\/div>
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