EP-1643: Automated pancreas segmentation and motion tracking based on dynamic MRI

2014 ◽  
Vol 111 ◽  
pp. S222
Author(s):  
S. Gou ◽  
P. Hu ◽  
J. Wu ◽  
F. Liu ◽  
K. Sheng
2018 ◽  
Vol 63 (2) ◽  
pp. 025015 ◽  
Author(s):  
Seyoun Park ◽  
Rana Farah ◽  
Steven M Shea ◽  
Erik Tryggestad ◽  
Russell Hales ◽  
...  

2014 ◽  
Vol 41 (6Part9) ◽  
pp. 195-195
Author(s):  
S Gou ◽  
S Rapacchi ◽  
P Hu ◽  
K Sheng

2014 ◽  
Vol 87 (1044) ◽  
pp. 20140248 ◽  
Author(s):  
S Gou ◽  
J Wu ◽  
F Liu ◽  
P Lee ◽  
S Rapacchi ◽  
...  

2010 ◽  
Vol 20 (2) ◽  
pp. 29-36
Author(s):  
Erin M. Wilson ◽  
Ignatius S. B. Nip

Abstract Although certain speech development milestones are readily observable, the developmental course of speech motor control is largely unknown. However, recent advances in facial motion tracking systems have been used to investigate articulator movements in children and the findings from these studies are being used to further our understanding of the physiologic basis of typical and disordered speech development. Physiologic work has revealed that the emergence of speech is highly dependent on the lack of flexibility in the early oromotor system. It also has been determined that the progression of speech motor development is non-linear, a finding that has motivated researchers to investigate how variables such as oromotor control, cognition, and linguistic factors affect speech development in the form of catalysts and constraints. Physiologic data are also being used to determine if non-speech oromotor behaviors play a role in the development of speech. This improved understanding of the physiology underlying speech, as well as the factors influencing its progression, helps inform our understanding of speech motor control in children with disordered speech and provide a framework for theory-driven therapeutic approaches to treatment.


2017 ◽  
Author(s):  
C Enzensberger ◽  
L Rostock ◽  
M Götte ◽  
A Wolter ◽  
J Herrmann ◽  
...  
Keyword(s):  

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