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- Activity of Sorafenib against Desmoid Tumor/Deep Fibromatosis
- Deep Insight of Design, Mechanism, and Cancer Theranostic Strategy of Nanozymes
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Restoration of skin pigmentation after deep partial or full-thickness burn injury
- A Unique Clinicopathological Manifestation of Fungal Infection: A Case Series of Deep Dermatophytosis in Immunosuppressed Patients
- Follicular Isolation Technique with De-Epithelialization for Eyebrow and Eyelash Reconstruction
- Deep facial mycosis due to <i>Trichophyton verrucosum</i>—molecular genetic identification of the dermatophyte in paraffin‐embedded tissue—case report and review of the literature
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- A Population of Radio-Resistant Macrophages in the Deep Myenteric Plexus Contributes to Postoperative Ileus Via Toll-Like Receptor 3 Signaling
- Deep skin fibroblast-mediated macrophage recruitment supports acute wound healing
- Eyebrow Restoration in Deep Facial Burn: Follicular Unit Extraction Hair Transplantation after Nanofat Graft
- Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
- Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
- Deep phenotyping of skin tissue remodeling in patients with systemic sclerosis treated with CD19-CAR T cells
- Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Hair and scalp disease detection using deep learning
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Deep Plane Fixation in Integumental Surgery
- Automated measurement of hair density and projected apparent width via deep learning–based phototrichogram analysis
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Crusted plaques of the scalp after deep brain stimulation surgery
- Diagnosis and therapeutic management of severe generalized demodicosis complicated by deep bacterial pyoderma in dog: A case report
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images