Infected cholesteatoma involving the labyrinth and accompanied by typical nystagmus [PDF]
Geo. H. Mathewson
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Early synapsids neurosensory diversity revealed by CT and synchrotron scanning
Abstract Non‐mammaliaform synapsids (NMS) represent the closest relatives of today's mammals among the early amniotes. Exploring their brain and nervous system is key to understanding how mammals evolved. Here, using CT and Synchrotron scanning, we document for the first time three extreme cases of neurosensory and behavioral adaptations that probe ...
J. Benoit+6 more
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Notes of a Case of Chronic Otitis Purulenta, from which Sequestra of the Labyrinth were Removed [PDF]
J A Erskine
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A case of suppurative middle ear disease with involvement of the labyrinth limited to the right cochlear portion and to the left vestibular portion [PDF]
G. W. Boot
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Predicting ecology and hearing sensitivities in Parapontoporia—An extinct long‐snouted dolphin
Abstract Analyses of the cetacean (whale and dolphin) inner ear provide glimpses into the ecology and evolution of extinct and extant groups. The paleoecology of the long‐snouted odontocete (toothed whale) group, Parapontoporia, is primarily marine with its depositional context also suggesting freshwater tolerance.
Joyce Sanks, Rachel Racicot
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Mazes and labyrinths : a general account of their history and developments
William H. Matthews
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Bioimaging of the sense organs and brain of fishes and reptiles. Left panel: 3D reconstruction of the head and brain of the deep‐sea viperfish Chauliodus sloani following diceCT. Right panel: A 3D reconstruction of a 70‐day‐old embryo head of the bearded dragon Pogona vitticeps following diceCT, showing the position of the segmented brain within the ...
Shaun P. Collin+9 more
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A Brief Note on Testing the Hearing with the Higher Tuning Forks; derived from Tests Made Tests made in a Case of Removal of the Necrosed Labyrinth, Together with the Membranous Cochlea. Shown in December, 1901 [PDF]
Richard Lake
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Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee+3 more
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