Results 111 to 120 of about 254,373 (189)

Appreciating individual differences: exposure time requirements in virtual space [PDF]

, 2011
Gulliver, Stephen, Kyritsis, Markos
core  

Attention-Base deep learning for 3D craniofacial soft tissue landmark detection and diagnosis in orthodontics. [PDF]

Sci Rep
Qiu T, Hu C, Zhang J, Wu F, Wang H, Liu X, Sun M.   +6 more
europepmc   +1 more source

Deep learning-based automated positioning system for maxillary skeletal expander: development and clinical validation. [PDF]

Clin Oral Investig
Pan J, Liu Z, Liu Y, Zhang Y, Xu M, Li X, Chen X, Wei G, Liu D.   +8 more
europepmc   +1 more source

Automated detection of chewing movements in videofluoroscopic swallowing studies using deep learning for landmark detection and motion analysis. [PDF]

Comput Biol Med
Bandini A, Lasala A, Peladeau-Pigeon M, Dharmarathna I, Gandhi P, Meng D, Milne H, Panes V, Simmons MM, Steele CM.   +9 more
europepmc   +1 more source

Dynamic and concordance-assisted learning for risk stratification with application to Alzheimer's disease. [PDF]

Biostatistics
Li W, Li R, Feng Z, Ning J, Alzheimer’s Disease Neuroimaging Initiative.   +4 more
europepmc   +1 more source

HusMorph: a simple machine learning app for automated morphometric landmarking. [PDF]

Conserv Physiol
Kristiansen HH, Metz M, Silva-Garay L, Jutfelt F, Leeuwis RHJ.   +4 more
europepmc   +1 more source

Associative basis of landmark learning and integration in vertebrates

Comparative Cognition & Behavior Reviews, 2009
Kenneth J. Leising, Aaron P. Blaisdell
doaj   +1 more source

Real-world face super-resolution based on generative adversarial and face alignment networks. [PDF]

Sci Rep
Fathy H, Faheem MT, Elbasiony R.
europepmc   +1 more source

Caudal Epidural Steroid Injection in adults with Chronic Lower Backache: Comparison of Landmark-Guided Technique and Ultrasonography-Guided Technique. [PDF]

J Orthop Case Rep
Raina S, Sharma P, Chauhan H, Ghani A, Singh M.   +4 more
europepmc   +1 more source

Driver Monitoring System Using Computer Vision for Real-Time Detection of Fatigue, Distraction and Emotion via Facial Landmarks and Deep Learning. [PDF]

Sensors (Basel)
Zambrano T, Arias L, Haro E, Santos V, Trujillo-Guerrero M.   +4 more
europepmc   +1 more source