Results 71 to 80 of about 462,759 (216)

MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images [PDF]

open access: yesarXiv
Statistical Shape Modeling (SSM) effectively analyzes anatomical variations within populations but is limited by the need for manual localization and segmentation, which relies on scarce medical expertise. Recent advances in deep learning have provided a promising approach that automatically generates statistical representations (as point distribution ...
arxiv  

Cardiomyopathy-Related Mutations in Cardiac Troponin C, L29Q and G159D, Have Divergent Effects on Rat Cardiac Myofiber Contractile Dynamics

open access: yesBiochemistry Research International, 2012
Previous studies of cardiomyopathy-related mutations in cardiac troponin C (cTnC)—L29Q and G159D—have shown diverse findings. The link between such mutant effects and their divergent impact on cardiac phenotypes has remained elusive due to lack of ...
Sampath K. Gollapudi, Murali Chandra
doaj   +1 more source

A preliminary report of amphibian mortality patterns on railways

open access: yesActa Herpetologica, 2014
In contrast to road mortality, little is known about amphibian railroad mortality. The aim of this study was to quantify amphibian mortality along a railway line as well as to investigate the relationship between the availability of breeding sites in the
Karolina Budzik, Krystian Budzik
doaj   +1 more source

Anatomy-guided Pathology Segmentation [PDF]

open access: yesarXiv
Pathological structures in medical images are typically deviations from the expected anatomy of a patient. While clinicians consider this interplay between anatomy and pathology, recent deep learning algorithms specialize in recognizing either one of the two, rarely considering the patient's body from such a joint perspective. In this paper, we develop
arxiv  

Riemannian geometry on spaces of submanifolds induced by the diffeomorphism group [PDF]

open access: yesarXiv, 2017
The space of embedded submanifolds plays an important role in applications such as computational anatomy and shape analysis. We can define two different classes on Riemannian metrics on this space: so-called outer metrics are metrics that measure shape changes using deformations of the ambient space and they find applications mostly in computational ...
arxiv  

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