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    Research 631–660 of 1000+

    1. A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG IEEE Access · 2024 · 2 citations
    2. Hair and scalp disease detection using deep learning arXiv (Cornell University) · 2024 · 1 citations
    3. Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review arXiv (Cornell University) · 2023 · 1 citations
    4. Automating Hair Loss Labels for Universally Scoring Alopecia From Images JAMA Dermatology · 2022 · 1 citations
    5. Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion Zenodo (CERN European Organization for Nuclear Research) · 2026
    6. Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion Zenodo (CERN European Organization for Nuclear Research) · 2026
    7. Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion Zenodo (CERN European Organization for Nuclear Research) · 2026
    8. Vitadetect : Vitamin Deficiency Detection Open MIND · 2026
    9. PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis International Journal of Engineering Research and Science & Technology · 2026
    10. Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration Applied Sciences · 2026
    11. Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images FMDB Transactions on Sustainable Health Science Letters · 2026
    12. From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research Open Science Framework · 2026
    13. DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING Kufa Journal of Engineering · 2025
    14. BaldPredict: AI-Driven Prediction Model for Alopecia Areata 2025
    15. Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study The Ewha Medical Journal · 2025
    16. Generative adversarial networks for anonymous acneic face dataset generation PLoS ONE · 2024
    17. Methods of Transfer Learning for Multiclass Hair Disease Categorization 2023
    18. Investigating Different Deep learning Models for Classification of Folliculitis 2023
    19. An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning Lecture notes in networks and systems · 2021
    20. BRITISH ASSOCIATION OF DERMATOLOGY. British Journal of Dermatology · 1966
    21. Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia Acta dermato-venereologica · 2021
    22. AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata Engineering Technology & Applied Science Research · 2023 · 5 citations
    23. Hair and Scalp Disease Detection using Machine Learning and Image Processing arXiv (Cornell University) · 2022 · 5 citations
    24. MALE-PATTERN HAIR LOSS — A SUPRAORBITAL NERVE ENTRAPMENT SYNDROME? Acupuncture & electro-therapeutics research · 1980 · 2 citations
    25. CZAS TO SZTUCZNA INTELIGENCJA: OD TEORII DO ROZWIĄZAŃ RATUJĄCYCH ŻYCIE Wiadomości Lekarskie · 2024
    26. A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers 2000
    27. Three-Dimensional Organoid System Transplantation Technologies in Future Treatment of Central Nervous System Diseases Stem Cells International · 2017 · 7 citations
    28. The Neuroscience of Age Perception Springer eBooks · 2016 · 2 citations
    29. Reviewer #1 (Public review): Mesenchymal Meis2 controls whisker development independently from trigeminal sensory innervation 2025
    30. Locally Synthetized 17-β-Estradiol Reverses Amyloid-β-42-Induced Hippocampal Long-Term Potentiation Deficits International journal of molecular sciences · 2024