Gudobba C, Mane T, Bayramova A, Rodriguez N, Castelo-Soccio L, Ogunleye TA, Taylor SC, Cotsarelis G, Bernardis E, Automating Hair Loss Labels for Universally Scoring Alopecia from Images – Rethinking Alopecia Scores, JAMA Dermatology, 2022.

Mane T, Bayramova A, Daniilidis K, Mordohai P, Bernardis E, Single-camera 3D head fitting for mixed reality clinical applications, Computer Vision and Image Understanding, 2022; 218: 103384.

Bayramova A, Mane T, Castelo-Soccio L, Ogunleye T, Taylor S, Bernardis E, Photographing Alopecia: How Many Pixels Are Needed for Clinical Evaluation? J Digital Imaging, 2020; 1-6.

Yu K, Syed MN, Bernardis E, Gelfand JM, Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review, J Psoriasis and Psoriatic Arthritis 2020; 5 (4), 147-159.

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. JAMA Dermatol. 2020;156(3):296-302.

Bernardis E, Nukpezah J, Li P, Christensen T, Castelo-Soccio L. Pediatric severity of alopecia tool. Pediatr Dermatol. 2018 Jan;35(1):e68-e69.

Selected Past Publications

Bernardis E, Castelo-Soccio L. Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation. J Investig Dermatol Symp Proc. 2018 Jan;19(1):S34-S40.

Bernardis E, Zhang Y, Konukoglu E, Ou Y, Javitz HS, Axel L, Metaxas D, Desjardins B, Pohl KM. eCurves: A Temporal Shape Encoding. IEEE Trans Biomed Eng. 2017 Apr;65(4):733-744.

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. Proc Natl Acad Sci U S A. 2014 Nov 11;111(45):16148-53.

Bernardis E, Pohl KM, Davatzikos C. Extracting evolving pathologies via spectral clustering. Inf Process Med Imaging. 2013;23:680-91.

Fragkiadaki K, Zhang W, Shi J, Bernardis E. Structural-flow trajectories for unravelling 3D tubular bundles. Med Image Comput Comput Assist Interv. 2012;15(Pt 3):631-8.

Bernardis E, Yu SX, Pop Out Small and Thin Structures from a Large Microscopic Image, Medical Image Analysis (MedIA), Special Issue on the 2010 Conference on Medical Image Computing and Computer-Assisted Intervention, Oct 2011.

Bernardis E, Yu SX, Finding Dots: Segmentation as Popping out Regions from Boundaries, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, 13-18 June 2010.

Bernardis E, Yu SX, Structural Correspondence as A Contour Grouping Problem, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), San Francisco, California, 14 June 2010.

Bernardis E, Shi J, Shape Extraction through Contour Region Stitching, International Symposium in Visual Computing (ISVC), Las Vegas, Nevada, December 2008.