Zobrazeno 1 - 10
of 9 349
pro vyhledávání: '"Richard, A J"'
Autor:
Tol, Richard S. J.
An updated and extended meta-analysis confirms that the central estimate of the social cost of carbon is around $200/tC with a large, right-skewed uncertainty and trending up. The pure rate of time preference and the inverse of the elasticity of inte
Externí odkaz:
http://arxiv.org/abs/2409.08158
Autor:
Peng, Junbo, Wang, Tonghe, Xie, Huiqiao, Qiu, Richard L. J., Chang, Chih-Wei, Roper, Justin, Yu, David S., Tang, Xiangyang, Yang, Xiaofeng
Background: Limited-angle (LA) dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations are hinder
Externí odkaz:
http://arxiv.org/abs/2409.04674
In the presence of unmeasured heterogeneity, the hazard ratio for exposure has a complex causal interpretation. To address this, accelerated failure time (AFT) models, which assess the effect on the survival time ratio scale, are often suggested as a
Externí odkaz:
http://arxiv.org/abs/2409.01983
Autor:
Eidex, Zach, Safari, Mojtaba, Qiu, Richard L. J., Yu, David S., Shu, Hui-Kuo, Mao, Hui, Yang, Xiaofeng
Objective: Gadolinium-based contrast agents (GBCAs) are commonly used in MRI scans of patients with gliomas to enhance brain tumor characterization using T1-weighted (T1W) MRI. However, there is growing concern about GBCA toxicity. This study develop
Externí odkaz:
http://arxiv.org/abs/2409.01622
Blade-tip vortices can lead to wakes, cavitation and noise, and their control remains a significant challenge for tidal and wind turbines. In the present work, we propose and investigate controlling tip vortices through local permeability. Blade-reso
Externí odkaz:
http://arxiv.org/abs/2408.16418
Autor:
Eidex, Zach, Safari, Mojtaba, Wynne, Jacob, Qiu, Richard L. J., Wang, Tonghe, Hernandez, David Viar, Shu, Hui-Kuo, Mao, Hui, Yang, Xiaofeng
Purpose: Apparent diffusion coefficient (ADC) maps derived from diffusion weighted (DWI) MRI provides functional measurements about the water molecules in tissues. However, DWI is time consuming and very susceptible to image artifacts, leading to ina
Externí odkaz:
http://arxiv.org/abs/2407.02616
Purpose: To propose a self-supervised deep learning-based compressed sensing MRI (DL-based CS-MRI) method named "Adaptive Self-Supervised Consistency Guided Diffusion Model (ASSCGD)" to accelerate data acquisition without requiring fully sampled data
Externí odkaz:
http://arxiv.org/abs/2406.15656
Turbulence has associated chaotic features. In the past couple of decades there has been growing interest in the study of these features as an alternative means of understanding turbulent systems. Our own input to this effort has been in contributing
Externí odkaz:
http://arxiv.org/abs/2406.09885
Autor:
Chang, Chih-Wei, Tian, Zhen, Qiu, Richard L. J., McGinnis, H. Scott, Bohannon, Duncan, Patel, Pretesh, Wang, Yinan, Yu, David S., Patel, Sagar A., Zhou, Jun, Yang, Xiaofeng
This study aims to develop a digital twin (DT) framework to enhance adaptive proton stereotactic body radiation therapy (SBRT) for prostate cancer. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness
Externí odkaz:
http://arxiv.org/abs/2405.09891
Magnetic resonance imaging (MRI) has revolutionized medical imaging, providing a non-invasive and highly detailed look into the human body. However, the long acquisition times of MRI present challenges, causing patient discomfort, motion artifacts, a
Externí odkaz:
http://arxiv.org/abs/2405.00241