Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vishal Vijayakumar"'
Autor:
Michelle Case, Sina Shirinpour, Vishal Vijayakumar, Huishi Zhang, Yvonne Datta, Stephen Nelson, Paola Pergami, Deepika S. Darbari, Kalpna Gupta, Bin He
Publikováno v:
NeuroImage: Clinical, Vol 21, Iss , Pp - (2019)
Sickle cell disease (SCD) is a hereditary blood disorder associated with many life-threatening comorbidities including cerebral stroke and chronic pain. The long-term effects of this disease may therefore affect the global brain network which is not
Externí odkaz:
https://doaj.org/article/22beacc7849946c3b7fe013cda26821a
Publikováno v:
International Journal of Radiology and Diagnostic Imaging. 5:98-100
Autor:
Deepika S. Darbari, Yvonne H. Datta, Huishi Zhang, Stephen C. Nelson, Sina Shirinpour, Vishal Vijayakumar, Kalpna Gupta, Paola Pergami, Michelle Case, Bin He
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 21, Iss, Pp-(2019)
NeuroImage: Clinical, Vol 21, Iss, Pp-(2019)
Sickle cell disease (SCD) is a hereditary blood disorder associated with many life-threatening comorbidities including cerebral stroke and chronic pain. The long-term effects of this disease may therefore affect the global brain network which is not
Publikováno v:
IEEE transactions on bio-medical engineering. 64(12)
Objective: Effective pain assessment and management strategies are needed to better manage pain. In addition to self-report, an objective pain assessment system can provide a more complete picture of the neurophysiological basis for pain. In this stu
Autor:
James Kohler, Keshab K. Parhi, Vishal Vijayakumar, Sohini Roychowdhury, Robert Joseph White, Dara D. Koozekanani
Publikováno v:
EMBC
Automated classification of retinal vessels in fundus images is the first step towards measurement of retinal characteristics that can be used to screen and diagnose vessel abnormalities for cardiovascular and retinal disorders. This paper presents a
Publikováno v:
ICVGIP
To understand human brain functioning, task-specific analyses are extensively used. Functional Magnetic Resonance (fMR) images of subjects performing well-defined tasks are utilized. Here, for categorization of distinct cognitive states, a novel sche