Zobrazeno 1 - 10
of 3 116
pro vyhledávání: '"Yu , David"'
Autor:
Peng, Junbo, Wang, Tonghe, 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
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
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Parygin, Pavel, Yu, David, Dittmann, Jay, Collaboration, The CMS-HCAL
The proliferation of sensors brings an immense volume of spatio-temporal (ST) data in many domains for various purposes, including monitoring, diagnostics, and prognostics applications. Data curation is a time-consuming process for a large volume of
Externí odkaz:
http://arxiv.org/abs/2408.16612
The emergence of Large Language Models (LLMs) has revolutionized natural language processing in various applications especially in e-commerce. One crucial step before the application of such LLMs in these fields is to understand and compare the perfo
Externí odkaz:
http://arxiv.org/abs/2408.12779
Autor:
Peng, Junbo, Gao, Yuan, Chang, Chih-Wei, Qiu, Richard, Wang, Tonghe, Kesarwala, Aparna, Yang, Kailin, Scott, Jacob, Yu, David, Yang, Xiaofeng
Background: Cone-beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image-guided radiotherapy (IGRT) process, thereby making it a potential imaging modality for the
Externí odkaz:
http://arxiv.org/abs/2406.15219
We previously developed a FLASH planning framework for streamlined pin-ridge-filter (pin-RF) design, demonstrating its feasibility for single-energy proton FLASH planning. In this study, we refined the pin-RF design for easy assembly using reusable m
Externí odkaz:
http://arxiv.org/abs/2406.02718
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
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Dittmann, Jay, Parygin, Pavel, Hiltbrand, Joshua, Cooper, Seth I., Cummings, Grace, Yu, David
Identifying outlier behavior among sensors and subsystems is essential for discovering faults and facilitating diagnostics in large systems. At the same time, exploring large systems with numerous multivariate data sets is challenging. This study pre
Externí odkaz:
http://arxiv.org/abs/2404.08453
Autor:
Babakol, Timur, Liu, Yu David
With the rapid growth of Artificial Intelligence (AI) applications supported by deep learning (DL), the energy efficiency of these applications has an increasingly large impact on sustainability. We introduce Smaragdine, a new energy accounting syste
Externí odkaz:
http://arxiv.org/abs/2311.11424
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Yu, David, Parygin, Pavel, Dittmann, Jay, Karapostoli, Georgia, Seidel, Markus, Venditti, Rosamaria, Lambrecht, Luka, Usai, Emanuele, Ahmad, Muhammad, Menendez, Javier Fernandez, Maeshima, Kaori, Collaboration, the CMS-HCAL
The compact muon solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the large hadron collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle data acqui
Externí odkaz:
http://arxiv.org/abs/2311.04190