Automated vehicle damage classification using the three-quarter view car damage dataset and deep learning approaches. [PDF]
Lee D, Lee J, Park E.
europepmc +1 more source
Abstract Nineteenth century excavations of the Ciply‐Malogne Phosphatic Chalk Formation in Hainaut, Belgium, yielded over 50 partial mosasaur skeletons, the majority of which were referred to the species Mosasaurus lemonnieri Dollo, 1889. In the years since, this taxon has experienced a complicated taxonomic history, and its exceptional hypodigm has ...
Henry S. Sharpe +3 more
wiley +1 more source
From Infancy to Aging: Precise Brain Age Estimation via Hybrid CoTResNet3D and CrossViT Models on T1-Weighted Imaging. [PDF]
Zhu X, Sun S, Gao H, Wu Y, Fu Z, Lin L.
europepmc +1 more source
Production of 3D printed biomodels of the canine brain for veterinary neuroanatomy teaching
Abstract Teaching neuroanatomy presents multiple challenges to both students and teachers, as it is a subject with highly dense content that commonly causes the development of aversion by students, a phenomenon referred to as “neurophobia,” which has been documented in human and veterinary medicine students.
João Victor Barbosa Tenório Fireman +1 more
wiley +1 more source
PodNet: Pod real-time instance segmentation in pre-harvest soybean fields. [PDF]
Zhou S, Sun Q, Zhang N, Chai X, Sun T.
europepmc +1 more source
The dead still teach the living: Body donor dissection in the digital age of anatomy education
Abstract Donor‐based dissection has become increasingly contested in modern medical curricula as digital anatomy platforms, simulation technologies, virtual dissection tables, three‐dimensional reconstructions, and artificial intelligence‐supported learning have expanded.
Uğur Baran Kasırga
wiley +1 more source
Landscape-explicit phylogeography illuminates the ecographic radiation of early archosauromorph reptiles. [PDF]
Flannery-Sutherland JT +4 more
europepmc +1 more source
Quarter-symmetric metric connection in a Kenmotsu manifold
openaire +1 more source
Designing and evaluating a neuroanatomy learning experience using multiple external representations
Abstract Neuroanatomy is challenging, requiring multiple external representations (MER) for comprehension. While studies have examined individual representations of neuroanatomy, a gap remains in understanding how students link across MER, especially between technology‐generated representations with everyday experiences.
Valeria Vendries, Ji Shen
wiley +1 more source
Deep learning-driven performance prediction and design of high-DoF MEMS resonators. [PDF]
Jia Z +13 more
europepmc +1 more source

