Attention-Base deep learning for 3D craniofacial soft tissue landmark detection and diagnosis in orthodontics. [PDF]
Qiu T +6 more
europepmc +1 more source
Effectiveness of Human-Artificial Intelligence Collaboration in Cephalometric Landmark Detection. [PDF]
Le VNT +5 more
europepmc +1 more source
In this study, we established a novel mouse model of intracerebral hemorrhage (ICH) by stereotactically injecting thermosensitive PNIPAM hydrogel into the internal capsule to impose localized mechanical stress on the corticospinal tract, which provides a straightforward and reproducible tool for preclinical studies on focal mechanical stress–induced ...
Mingxi Li +11 more
wiley +1 more source
A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification. [PDF]
Khalid MA +7 more
europepmc +1 more source
Author Correction: Three-dimensional soft tissue landmark detection with marching cube algorithm. [PDF]
Lee Y +6 more
europepmc +1 more source
Objective Dysarthria is one of the most common and disabling side effects of subthalamic nucleus deep brain stimulation (STN‐DBS) in Parkinson's disease (PD). Stimulation often exacerbates speech dysfunction beyond the effects of PD progression, likely because of current spread to structures surrounding the STN.
Petr Krýže +17 more
wiley +1 more source
Automated detection of chewing movements in videofluoroscopic swallowing studies using deep learning for landmark detection and motion analysis. [PDF]
Bandini A +9 more
europepmc +1 more source
Low-Cost Human-Machine Interface for Computer Control with Facial Landmark Detection and Voice Commands. [PDF]
Ramos P +4 more
europepmc +1 more source
Objectives Nerve transfer is a promising intervention for restoring hand and upper limb function after cervical spinal cord injury (SCI), but the timeline of neurophysiological recovery in humans remains unclear. This study aimed to define recovery profiles after nerve transfers to restore upper limb function.
Kyle J. Missen +14 more
wiley +1 more source
The AENEAS Project: Intraoperative Anatomical Guidance Through Real-Time Landmark Detection Using Machine Vision. [PDF]
Olei S +7 more
europepmc +1 more source

