Tehran University of Medical Sciences

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Faculty Members have conducted research related to the Machine Learning for Classification of Cutaneous Sebaceous Neoplasms: Implementing Decision Tree Model Using Cytological and Architectural Features
Vahidehsadat Azhari
Vahidehsadat Azhari

Assistant Professor of Pathology

Department Pathology

School of Medicine

Razi Hospital

Tehran University of Medical Sciences

All Documents
1. A Case of Severe Generalized Granuloma Annulare Responding Well to Tofacitinib, Case Reports in Dermatological Medicine (2025)
2. Assessment of Clinical and Pathological Characteristics of Inverted Follicular Keratosis - Five Years Comprehensive Review, Archives of Dermatological Research (2025)
3. Discordant Anisotrichosis: A Novel and Specific Trichoscopic Sign for Fibrosing Alopecia in a Pattern Distribution, International Journal of Dermatology (2025)
4. Discordant Anisotrichosis: A Novel and Specific Trichoscopic Sign for Fibrosing Alopecia in a Pattern Distribution, International Journal of Dermatology (2025)
5. Evaluation of Demographic, Clinical, and Histological Characteristics of Spitz Nevus Among Iranian Patients: A Retrospective Study From 2016 to 2021, Health Science Reports (2024)
6. Generalized Cutaneous Talaromycosis (Penicilliosis) in an Immunocompetent Individual, JAAD Case Reports (2024)
7. Machine Learning for Classification of Cutaneous Sebaceous Neoplasms: Implementing Decision Tree Model Using Cytological and Architectural Features, Diagnostic Pathology (2023)
8. Pilomatricoma: Histopathologic Evaluation of 100 Cases and Introduction of New Features, Iranian Journal of Dermatology (2023)
9. A Young Boy With Brittle Hair, Case Reports in Dermatology (2022)
10. Lichen Planopilaris: Histopathological Survey of 70 Vertical Sections of Scalp Biopsies, Iranian Journal of Dermatology (2022)
11. Prevalence and Main Determinants of Braf V600e Mutation in Dysplastic and Congenital Nevi, Iranian Journal of Pathology (2020)