Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gyanendra Bohara"'
Autor:
Herbert F. Jelinek, Rohisha Tuladhar, Garland Culbreth, Gyanendra Bohara, David Cornforth, Bruce. J. West, Paolo Grigolini
Publikováno v:
Frontiers in Physiology, Vol 11 (2021)
We review the literature to argue the importance of the occurrence of crucial events in the dynamics of physiological processes. Crucial events are interpreted as short time intervals of turbulence, and the time distance between two consecutive cruci
Externí odkaz:
https://doaj.org/article/25919dc9d0794c3b8cc5dec9c7b886f4
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Earlier research work on the dynamics of the brain, disclosing the existence of crucial events, is revisited for the purpose of making the action of crucial events, responsible for the 1/f −noise in the brain, compatible with the wave-like nature o
Externí odkaz:
https://doaj.org/article/0227a997dbdb40b4a43bc2ad8d267434
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
In this paper we emphasize that 1/f noise has two different origins, one compatible with Laplace determinism and one determined by unpredictable crucial events. The dynamics of heartbeats, manifest as heart rate variability (HRV) time series, are det
Externí odkaz:
https://doaj.org/article/9f8f6032fbff438c87e5080db4e9afd9
Autor:
Rafe McBeth, Steve B. Jiang, Anjali Balagopal, Gyanendra Bohara, Mu-Han Lin, Dan Nguyen, Azar Sadeghnejad Barkousaraie
Publikováno v:
Phys Med Biol
Recently, artificial intelligence technologies and algorithms have become a major focus for advancements in treatment planning for radiation therapy. As these are starting to become incorporated into the clinical workflow, a major concern from clinic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53b6cc02cc658cf121623a1b15fa6936
https://pubmed.ncbi.nlm.nih.gov/33503599
https://pubmed.ncbi.nlm.nih.gov/33503599
Publikováno v:
Med Phys
We propose to develop deep learning models that can predict Pareto optimal dose distributions by using any given set of beam angles, along with patient anatomy, as input to train the deep neural networks. We implement and compare two deep learning ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::802e186a88bcd6459e8bb409dbba7c55
Autor:
Azar Sadeghnejad Barkousaraie, Chenyang Shen, Rafe McBeth, Gyanendra Bohara, Xun Jia, Steve B. Jiang, Dan Nguyen
Publikováno v:
Med Phys
PURPOSE: We propose a novel domain specific loss, which is a differentiable loss function based on the dose volume histogram, and combine it with an adversarial loss for the training of deep neural networks. In this study, we trained a neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab5bfc305c819b8412c11049aab2a5d
https://pubmed.ncbi.nlm.nih.gov/31821577
https://pubmed.ncbi.nlm.nih.gov/31821577
Publikováno v:
Frontiers in Physiology
Frontiers in Physiology, Vol 9 (2018)
Frontiers in Physiology, Vol 9 (2018)
Earlier research work on the dynamics of the brain, disclosing the existence of crucial events, is revisited for the purpose of making the action of crucial events, responsible for the 1/f −noise in the brain, compatible with the wave-like nature o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e30754eda8cb7b47d4223d2dd94549a
http://europepmc.org/articles/PMC6170969
http://europepmc.org/articles/PMC6170969
Autor:
Karen P. Briski, Gary A. Glass, Jack E. Manuel, S.Z. Szilasi, Bibhudutta Rout, Gyanendra Bohara, Henry Luyombya, James Deaton
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 332:37-41
There exists a critical need to understand the flow and accumulation of metallic ions, both naturally occurring and those introduced to biological systems. In this paper the results of fabricating thin film elemental biological standards containing n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d9db03e1b8e7cab4d809ceb032f68f9
https://doi.org/10.1016/j.nimb.2014.02.025
https://doi.org/10.1016/j.nimb.2014.02.025
Autor:
Gary A. Glass, S.Z. Szilasi, Floyd D. McDaniel, P.R. Poudel, Gyanendra Bohara, Mangal Dhoubhadel, Wickramaarachchige J. Lakshantha, Jack E. Manuel, Bibhudutta Rout, Venkata C. Kummari
Publikováno v:
International Journal of Modern Physics: Conference Series. 27:1460147
The University of North Texas (UNT) Ion Beam Modification and Analysis Laboratory (IBMAL) has four particle accelerators including a National Electrostatics Corporation (NEC) 9SDH-2 3 MV tandem Pelletron, a NEC 9SH 3 MV single-ended Pelletron, and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22e672d8a2eb6cf535dd020d4d014c4e
https://doi.org/10.1142/s2010194514601471
https://doi.org/10.1142/s2010194514601471