Jaw‐specific stem cell dynamics are associated with distinct enamel architecture in mouse incisors
Abstract Background The continuously growing mouse incisor serves as a model for stem cell‐driven tooth renewal. Although mice possess maxillary and mandibular incisors, most studies have focused on the mandible. Potential differences in structure and renewal between these serially homologous organs remain insufficiently characterized.
Elias Shahin +4 more
wiley +1 more source
A hierarchical transformer-graph framework for explainable student engagement estimation in E-learning videos. [PDF]
Alharbi MH +5 more
europepmc +1 more source
Higher semaglutide dose is associated with lower neuropsychiatric event incidence independent of weight loss. [PDF]
Murugadoss K +2 more
europepmc +1 more source
Utilizing deep learning from mobile phone photos for early detection of horizontal strabismus: a screening approach. [PDF]
Chawuthai R +6 more
europepmc +1 more source
Landmark Recognition Beyond Curated Benchmarks: Cross-Domain Evaluation of a Multi-Threshold Selective YOLO11 Ensemble on User-Generated Imagery, with a Zero-Shot Multimodal LLM Baseline. [PDF]
Hudayberdiev U +4 more
europepmc +1 more source
Evaluating the real-world robustness of face-swap detection models under compression and noise. [PDF]
Baocai L, Azzali FB, Farid NFBNM.
europepmc +1 more source
Automatic identification of anatomical landmarks in three-dimensional computed tomography/cone-beam computed tomography: a scoping review. [PDF]
Wu Y +7 more
europepmc +1 more source
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Biology often offers valuable example of systems both for learning and for controlling motion. Work in robotics has often been inspired by these findings in diverse ways. Though the fundamental aspects that involve visual landmark learning and motion control mechanisms have almost exclusively been approached heuristically rather than examining the ...
BIANCO, Giovanni +2 more
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Learning to Localize Little Landmarks
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016We interact everyday with tiny objects such as the door handle of a car or the light switch in a room. These little landmarks are barely visible and hard to localize in images. We describe a method to find such landmarks by finding a sequence of latent landmarks, each with a prediction model.
Saurabh Singh 0005 +2 more
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