Literature DB >> 32785607

Clinically Applicable Deep Learning Framework for Measurement of the Extent of Hair Loss in Patients With Alopecia Areata.

Solam Lee1, Jong Won Lee2, Sung Jay Choe2, Sejung Yang3, Sang Baek Koh4, Yeon Soon Ahn4, Won-Soo Lee2.   

Abstract

Entities:  

Year:  2020        PMID： 32785607      PMCID： PMC7489853          DOI： 10.1001/jamadermatol.2020.2188

Source DB:  PubMed          Journal:  JAMA Dermatol        ISSN： 2168-6068            Impact factor:   10.282


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  6 in total

1.  Association of Out-of-Pocket Health Care Costs and Financial Burden for Patients With Alopecia Areata.

Authors:  Sara Jiayang Li; Arash Mostaghimi; Elizabeth Tkachenko; Kathie P Huang
Journal:  JAMA Dermatol       Date:  2019-04-01       Impact factor: 10.282

Review 2.  Objective outcome measures: Collecting meaningful data on alopecia areata.

Authors:  Elise A Olsen; Janet Roberts; Leonard Sperling; Antonella Tosti; Jerry Shapiro; Amy McMichael; Wilma Bergfeld; Valerie Callender; Paradi Mirmirani; Ken Washenik; David Whiting; George Cotsarelis; Maria Hordinsky
Journal:  J Am Acad Dermatol       Date:  2017-11-08       Impact factor: 11.527

3.  Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation.

Authors:  Elena Bernardis; Leslie Castelo-Soccio
Journal:  J Investig Dermatol Symp Proc       Date:  2018-01

4.  Topographic Phenotypes of Alopecia Areata and Development of a Prognostic Prediction Model and Grading System: A Cluster Analysis.

Authors:  Solam Lee; Beom Jun Kim; Chung-Hyeok Lee; Won-Soo Lee
Journal:  JAMA Dermatol       Date:  2019-05-01       Impact factor: 10.282

5.  Hair Regrowth Outcomes of Contact Immunotherapy for Patients With Alopecia Areata: A Systematic Review and Meta-analysis.

Authors:  Solam Lee; Beom Jun Kim; Young Bin Lee; Won-Soo Lee
Journal:  JAMA Dermatol       Date:  2018-10-01       Impact factor: 10.282

6.  All-Cause and Cause-Specific Mortality Risks Associated With Alopecia Areata: A Korean Nationwide Population-Based Study.

Authors:  Solam Lee; Young Bin Lee; Beom Jun Kim; Sejin Bae; Won-Soo Lee
Journal:  JAMA Dermatol       Date:  2019-08-01       Impact factor: 10.282
  6 in total
  1 in total

Review 1.  Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

Authors:  Roxana Daneshjou; Mary P Smith; Mary D Sun; Veronica Rotemberg; James Zou
Journal:  JAMA Dermatol       Date:  2021-11-01       Impact factor: 11.816
  1 in total

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