Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Micha Livne"'
Autor:
Adam Cadotte, David W Cadotte, Micha Livne, Julien Cohen-Adad, David Fleet, David Mikulis, Michael G Fehlings
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0139323 (2015)
Spinal cord segmentation is a developing area of research intended to aid the processing and interpretation of advanced magnetic resonance imaging (MRI). For example, high resolution three-dimensional volumes can be segmented to provide a measurement
Externí odkaz:
https://doaj.org/article/e6cf0bddfe2349d198f6362f34577692
Autor:
Emre Sevgen, Joshua Moller, Adrian Lange, John Parker, Sean Quigley, Jeff Mayer, Poonam Srivastava, Sitaram Gayatri, David Hosfield, Maria Korshunova, Micha Livne, Michelle Gill, Rama Ranganathan, Anthony B. Costa, Andrew L. Ferguson
The data-driven design of protein sequences with desired function is challenged by the absence of good theoretical models for the sequence-function mapping and the vast size of protein sequence space. Deep generative models have demonstrated success
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64c920f3acf3e7849a02e4f8b84b588e
https://doi.org/10.1101/2023.01.23.525232
https://doi.org/10.1101/2023.01.23.525232
Publikováno v:
CRV
We propose a generative approach to physics-based motion capture. Unlike prior attempts to incorporate physics into tracking that assume the subject and scene geometry are calibrated and known a priori, our approach is automatic and online. This dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::698402c82e5c9673d2831439f98486da
https://doi.org/10.1109/crv.2018.00031
https://doi.org/10.1109/crv.2018.00031
Autor:
David W. Cadotte, Michael G. Fehlings, Natalia Nugaeva, A. Cadotte, Julien Cohen-Adad, David J. Fleet, David J. Mikulis, Micha Livne, Jefferson R. Wilson
Publikováno v:
AJNR Am J Neuroradiol
BACKGROUND AND PURPOSE: Advanced MR imaging techniques are critical to understanding the pathophysiology of conditions involving the spinal cord. We provide a novel, quantitative solution to map vertebral and spinal cord levels accounting for anatomi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb8cdb1f4afc131adf6acd752b8063c6
https://doi.org/10.3174/ajnr.a4192
https://doi.org/10.3174/ajnr.a4192
Publikováno v:
Computer Vision and Image Understanding. 116:648-660
It is well known that biological motion conveys a wealth of socially meaningful information. From even a brief exposure, biological motion cues enable the recognition of familiar people, and the inference of attributes such as gender, age, mental sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06325e751987bb120b24b2f5ee5243fd
https://doi.org/10.1016/j.cviu.2012.01.003
https://doi.org/10.1016/j.cviu.2012.01.003
Autor:
David W. Cadotte, David J. Mikulis, Micha Livne, David J. Fleet, Adam Cadotte, Michael G. Fehlings, Julien Cohen-Adad
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0139323 (2015)
PLoS ONE
PLoS ONE
Spinal cord segmentation is a developing area of research intended to aid the processing and interpretation of advanced magnetic resonance imaging (MRI). For example, high resolution three-dimensional volumes can be segmented to provide a measurement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57e4121088f9274d9b0a9f5a0f1cfdad
http://europepmc.org/articles/PMC4596853?pdf=render
http://europepmc.org/articles/PMC4596853?pdf=render
Publikováno v:
Computer Vision – ECCV 2010 ISBN: 9783642155574
ECCV (3)
ECCV (3)
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness). This task is useful for man-machine communication, and it provides a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2a746b4c018ec89854ee90b0e0d125c
https://doi.org/10.1007/978-3-642-15558-1_18
https://doi.org/10.1007/978-3-642-15558-1_18