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Research 361–390 of 1000+
- ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
- Scalp disease analysis using deep learning models
- The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
- A discriminant multi-scale histopathology descriptor using dictionary learning
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- Using Pork Skin as a Practice Medium for Learning Hair Transplantation Techniques
- How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- A Comprehensive Survey on Vitiligo Detection Using Deep Learning
- Treatment options and emotional well-being in patients with rosacea: An unsupervised machine learning analysis of over 200,000 posts
- Innovative approaches to baldness detection and management with artificial intelligence and machine learning
- Global Research Trends for Platelet-Rich Plasma: A Science Mapping with Machine Learning Techniques
- Alteration of neonatal Allopregnanolone levels affects exploration, anxiety, aversive learning and adult behavioural response to intrahippocampal neurosteroids
- Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
- Investigation on the Mechanism of <i>Platycladus</i> <i>orientalis</i> in the Treatment of Androgenetic Alopecia Based on Machine Learning and Molecular Dynamics
- What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning
- Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning
- Generating detailed intercellular communication patterns in psoriasis at the single-cell level using social networking, pattern recognition, and manifold learning methods to optimize treatment strategies
- How to Assess Dermatology Resident Surgical Training: New Techniques
- PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
- Progesterone promotes the survival of newborn neurons in the dentate gyrus of adult male mice
- Prediction of Alopecia Areata using CNN
- Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
- Advancements in Dermatological Imaging Modalities
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Using artificial intelligence to compute Severity of Alopecia Tool scores
- Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases