Results 81 to 90 of about 5,241 (151)

Caste-biased patterns of brain investment in the subterranean termite Reticulitermes flavipes

iScience
Summary: Investment into neural tissue is expected to reflect the specific sensory and behavioral capabilities of a particular organism. Termites are eusocial insects that exhibit a caste system in which individuals can develop into one of several ...
Austin Merchant, Xuguo Zhou
doaj   +1 more source

Robust fusion of Jacobian maps for Deformation-Based Morphometry

, 2011
In population studies with Magnetic Resonance Imaging (MRI), Deformation-Based Morphometry (DBM) [Ashburner, 1998] has received more and more attention as a tool to investigate and identify anatomical differences between groups in cross-sectional studies or anatomical changes over time in longitudinal studies.
Guizard, Nicolas, Coupé, Pierrick, Fonov, Vladimir, Arnold, Douglas, Collins, Louis   +4 more
openaire   +1 more source

Hierarchical machine learning for the automatic classification of surface deformation from SAR observations

Artificial Intelligence in Geosciences
Ground deformation processes, such as landslides and subsidence, cause significant social, economic, and environmental impacts. This study aims to automatically classify ground deformation processes in Spain using a machine learning approach applied to ...
Jhonatan Rivera-Rivera, Héctor Aguilera, Marta Béjar-Pizarro, Carolina Guardiola-Albert, Pablo Ezquerro, Anna Barra   +5 more
doaj   +1 more source

Stream Morphometry as Response to the Level of Tectonic Deformation on Sorowako and Surrounding Areas, Indonesia

JGEET: Journal of Geoscience, Engineering, Environment and Technology
Sorowako and surrounding areas are geologically influenced by Sulawesi’s microcontinent movement, which has produced several geological phenomena. Morphometry is one of the parameter that can reveal geological condition of particular area.
Tri Hananto Sambodo, Emi Sukiyah, Johanes Hutabarat   +2 more
doaj   +1 more source

Reducing the acquisition time for magnetic resonance imaging using super-resolution image generation and evaluating the accuracy of hippocampal volumes for diagnosing Alzheimer’s disease

Frontiers in Neurology
IntroductionBrain magnetic resonance imaging (MRI) is important for diagnosing Alzheimer’s disease (AD), and MRI acquisition time should be reduced.
Nobukiyo Yoshida, Nobukiyo Yoshida, Hajime Kageyama, Hajime Kageyama, Hiroyuki Akai, Satoshi Kasai, Satoshi Kasai, Kei Sasaki, Noriko Sakurai, Naoki Kodama   +9 more
doaj   +1 more source

Automatic Landmark Detection in Severe Craniomaxillofacial Deformities via Three-Dimensional (3D) Point Cloud Deformation Model and Deep Learning Networks

IEEE Access
The accurate and efficient detection of landmarks is crucial for diagnosing and treating CMF deformities, which often involve various structural abnormalities in bone structure displacement, defects, and facial asymmetry.
Meng Xu, Zhaoyang Luo, Bingyang Liu, Zhiyan Wang, Xiaojun Tang, Tao Song   +5 more
doaj   +1 more source

Epilepsy-related functional brain network alterations are already present at an early age in the GAERS rat model of genetic absence epilepsy

Frontiers in Neurology
IntroductionGenetic Absence Epilepsy Rats from Strasbourg (GAERS) represent a model of genetic generalized epilepsy. The present longitudinal study in GAERS and age-matched non-epileptic controls (NEC) aimed to characterize the epileptic brain network ...
Lydia Wachsmuth, Leo Hebbelmann, Jutta Prade, Laura C. Kohnert, Henriette Lambers, Annika Lüttjohann, Thomas Budde, Andreas Hess, Andreas Hess, Andreas Hess, Cornelius Faber   +10 more
doaj   +1 more source

Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation-Based Morphometry Study. [PDF]

Ann Neurol
Lajoie I, Canadian ALS Neuroimaging Consortium (CALSNIC), Kalra S, Dadar M.   +3 more
europepmc   +1 more source

Anatomical Markers of Musicianship and Absolute Pitch as Revealed by Deformation-Based Morphometry

NeuroImage, 2009
P. Bermudez, R.J. Zatorre
openaire   +1 more source

Mapping brain growth of early childhood using deformation based morphometry

NeuroImage, 2009
J Lee, VS Fonov, Alan Evans
openaire   +1 more source