Zobrazeno 1 - 10
of 2 779
pro vyhledávání: '"P. Shiraz"'
Autor:
Rahmatpour, Ahmad, Shields, Allison, Mondal, Parmita, Naghdi, Parisa, Udin, Michael, Williams, Kyle A, Bhurwani, Mohammad Mahdi Shiraz, Nagesh, Swetadri Vasan Setlur, Ionita, Ciprian N
This study leverages convolutional neural networks to enhance the temporal resolution of 3D angiography in intracranial aneurysms focusing on the reconstruction of volumetric contrast data from sparse and limited projections. Three patient-specific I
Externí odkaz:
http://arxiv.org/abs/2411.09632
Autor:
Mondal, Parmita, Shields, Allison, Bhurwani, Mohammad Mahdi Shiraz, Williams, Kyle A, Nagesh, Swetadri Vasan Setlur, Siddiqui, Adnan H, Ionita, Ciprian N
This study aims to mitigate these biases and enhance QA analysis by applying a path-length correction (PLC) correction, followed by singular value decomposition (SVD)-based deconvolution, to angiograms obtained through both in-silico and in-vitro met
Externí odkaz:
http://arxiv.org/abs/2411.08185
Autor:
Mondal, Parmita, Shields, Allison, Bhurwani, Mohammad Mahdi Shiraz, Williams, Kyle A, Ionita, Ciprian N
Publikováno v:
Medical Imaging 2024: Physics of Medical Imaging, 139, (2024)
In Angiographic Parametric Imaging (API), accurate estimation of parameters from Time Density Curves (TDC) is crucial. However, these estimations are often marred by errors arising from factors such as patient motion, procedural preferences, image no
Externí odkaz:
http://arxiv.org/abs/2411.05287
Publikováno v:
Proc. SPIE 12468, Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, 124680P (10 April 2023)
During intracranial aneurysm (IA) treatment with Diverters (FDs), the device/parent artery diameters ratio may influence the ability of the device to induce aneurysm healing response. Oversized FDs are safer to deploy but may not induce enough hemody
Externí odkaz:
http://arxiv.org/abs/2411.05284
Autor:
Mondal, Parmita, Nagesh, Swetadri Vasan Setlur, Sommers-Thaler, Sam, Shields, Allison, Bhurwani, Mohammad Mahdi Shiraz, Williams, Kyle A, Baig, Ammad, Snyder, Kenneth, Siddiqui, Adnan H, Levy, Elad, Ionita, Ciprian N
Intraoperative 2D quantitative angiography (QA) for intracranial aneurysms (IAs) has accuracy challenges due to the variability of hand injections. Despite the success of singular value decomposition (SVD) algorithms in reducing biases in computed to
Externí odkaz:
http://arxiv.org/abs/2411.03655
Autor:
Khan, Shiraz, Chirikjian, Gregory S.
The Fisher Information Metric (FIM) and the associated Cram\'er-Rao Bound (CRB) are fundamental tools in statistical signal processing, which inform the efficient design of experiments and algorithms for estimating the underlying parameters. In this
Externí odkaz:
http://arxiv.org/abs/2411.00258
It is well known that quantum, randomized and deterministic (sequential) query complexities are polynomially related for total boolean functions. We find that significantly larger separations between the parallel generalizations of these measures are
Externí odkaz:
http://arxiv.org/abs/2410.02665
Autor:
Choi, Sunjin, Jain, Diksha, Kim, Seok, Krishna, Vineeth, Lee, Eunwoo, Minwalla, Shiraz, Patel, Chintan
Charged Black holes in $AdS_5 \times S^5$ suffer from superradiant instabilities over a range of energies. Hairy black hole solutions (constructed within gauged supergravity) have previously been proposed as endpoints to this instability. We demonstr
Externí odkaz:
http://arxiv.org/abs/2409.18178
Cloth state estimation is an important problem in robotics. It is essential for the robot to know the accurate state to manipulate cloth and execute tasks such as robotic dressing, stitching, and covering/uncovering human beings. However, estimating
Externí odkaz:
http://arxiv.org/abs/2409.11831
Autor:
P. Strati, L. Leslie, P. Shiraz, E. Budde, O. O. Oluwole, M. Ulrickson, A. Ramakrishnan, J. Sun, R. Shen, J. Kanska, P. McCroskery, J. Dong, M. Schupp, H. Xu, K. Patel
Publikováno v:
HemaSphere, Vol 6, Pp 1083-1084 (2022)
Externí odkaz:
https://doaj.org/article/0a81303cd35240e19d9dad829e78977a
