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- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
- Hair and scalp disease detection using deep learning
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- NLKFill: high-resolution image inpainting with a novel large kernel attention
- Hair cluster detection model based on dermoscopic images
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- Pharmacologically altered Androgens, Brain Activation and Response Inhibition in a Stop-Signal Task in Male Heavy Drinkers
- Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Advances in Digital Light Processing (DLP) Bioprinting: A Review of Biomaterials and Its Applications, Innovations, Challenges, and Future Perspectives
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
- Developing Optical Biometrics Using Optical Coherence Tomography for Medical Screening and Diagnosis
- Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men
- The Microanatomy of Human Skin in Aging
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- American Society for Laser Medicine and Surgery - 2018 Late-Breaking Abstracts
- Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
- Computer-Aided Designing Peptide Inhibitors of Human Hematopoietic Prostaglandin D2 Synthase Combined Molecular Docking and Molecular Dynamics Simulation
- Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
- Innovations in skin microphysiological systems for nonclinical testing and FDA modernization
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- Poster Presentations
- KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing