Article
Radiology, Nuclear Medicine & Medical Imaging
Rebecca Culcasi, Geoffrey Baran, Michael Dominello, Jay Burmeister
Summary: The study developed a standardized set of representative clinical treatment cases with varied complexities to evaluate the plan quality and dosimetric accuracy within the commissioning process for linac-based stereotactic radiosurgery (SRS). The test cases included different target structures and adjacent organs-at-risk, with specified planning goals and delivery requirements for each case, aiming to assess delivery accuracy in SRS commissioning procedures.
Article
Radiology, Nuclear Medicine & Medical Imaging
Mitchell Polizzi, Siyong Kim, Mihaela Rosu-Bubulac
Summary: This article introduces a commissioning quality assurance protocol for 4D CT simulation, which includes measurements and acquisitions to assess the mechanical and computational operation performance of 4D CT with both phase and amplitude-based reconstructions for regular and irregular respiratory patterns.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2022)
Article
Oncology
Gabriel P. Fonseca, Robert Voncken, Joep Hermans, Frank Verhaegen
Summary: This study describes a new method, the Iridium Imaging System for QA (IrIS-QA), for automating and improving applicator commissioning in low-energy brachytherapy. The method shows high accuracy in measuring dwell times and positions, and has good consistency between planned and delivered parameters. IrIS-QA is a compact system that enhances the accuracy and efficiency of applicator commissioning and daily quality assurance.
Article
Oncology
Ruijie Yang, Xueying Yang, Le Wang, Dingjie Li, Yuexin Guo, Ying Li, Yumin Guan, Xiangyang Wu, Shouping Xu, Shuming Zhang, Maria F. Chan, Lisheng Geng, Jing Sui
Summary: The study aimed to commission and implement an ACLR model for VMAT patient-specific quality assurance in a multi-institution scenario. Through multi-institutional validation, the model's prediction and classification accuracy were confirmed under different equipment and systems, with established routine QA for clinical use.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hilde Bosmans, Federica Zanca, Frederik Gelaude
Summary: In this study, a framework is proposed to guide the role of Medical Physicists in introducing AI solutions in clinical practice, emphasizing the importance of steps from procurement to quality assurance. Specific metrics and testing methods are crucial for evaluating the effectiveness of AI solutions. Furthermore, efforts are needed to establish standardized test protocols.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mark W. Geurts, Dustin J. Jacqmin, Lindsay E. Jones, Stephen F. Kry, Dimitris N. Mihailidis, Jared D. Ohrt, Timothy Ritter, Jennifer B. Smilowitz, Nicholai E. Wingreen
Summary: The American Association of Physicists in Medicine (AAPM) is a professional society dedicated to advancing the science, education, and professional practice of medical physics. They periodically define practice guidelines to improve the quality of medical physics services and ensure safe and effective use of diagnostic and therapeutic radiology.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Edmund M. Weisberg, Linda C. Chu, Benjamin D. Nguyen, Pelu Tran, Elliot K. Fishman
Summary: Artificial intelligence is most valuable as an adjunct in diagnostic radiology and can be utilized to monitor critical care gaps by combining computer vision and natural language processing. This approach offers potential benefits such as streamlined workflow and improved detection quality.
JOURNAL OF DIGITAL IMAGING
(2022)
Article
Automation & Control Systems
Hanzhong Xu, Dianliang Wu, Yu Zheng, Qihang Yu, Yue Zhao
Summary: The study aims to address the challenges faced in production commissioning by leveraging the capabilities of augmented reality (AR) technology and digital twin technology in the context of Industry 4.0. A novel virtual-real fusion commissioning method utilizing AR is proposed, enabling real-time commissioning and fusion display of the production process. The method was applied to the operation and commissioning of a specific production unit, resulting in significant reduction in commissioning cycle and space cost savings.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Ou Wu
Summary: This study focuses on a reverse question answering procedure, in which machines ask questions and humans provide answers. A novel deep answer understanding network, AntNet, is proposed to address the problem of answer understanding. The network consists of three new modules and adopts an improved self-paced learning strategy. Experimental results demonstrate the superiority of the proposed network compared to existing methods and modified versions of classical natural language processing deep models.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Manuel A. Borroto, Francesco Ricca
Summary: Accessing large volumes of information in public knowledge bases can be complicated for users unfamiliar with formal languages like SPARQL. KBQA systems aim to overcome this issue by answering questions in natural language and translating them into SPARQL queries. However, current state-of-the-art KBQA systems struggle with out-of-vocabulary words, which is a serious issue when querying large ontologies.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jinjiang Wang, Xiaotong Niu, Robert X. Gao, Zuguang Huang, Ruijuan Xue
Summary: This paper proposes a digital twin-driven virtual commissioning method to simulate machining processes in a virtual environment and obtain better commissioning results.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Multidisciplinary Sciences
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, Georgios Paliouras
Summary: The BioASQ QA benchmark dataset is comprehensive and realistic, containing questions, reference answers, and related materials. It offers a more challenging and realistic representation of biomedical experts' information needs compared to other datasets. Additionally, it includes ideal answers for research on multi-document summarization and combines structured and unstructured data. The dataset is continuously updated through the BioASQ challenge, making it a valuable resource for various research areas.
Article
Geochemistry & Geophysics
Mario Azcueta, Juan Pablo Cuesta Gonzalez, Tomas Zajc, Joaquin Ferreyra, Marc Thibeault
Summary: SAOCOM is a scientific and commercial mission developed by CONAE, consisting of two identical satellites equipped with an L-band synthetic aperture radar (SAR) for soil moisture retrieval. This article summarizes the main external calibration results obtained during the commissioning phase of the SAOCOM-1A satellite, along with the general calibration strategy and devices used in the process.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Lixia Liu, Axin Jin, Anzhong Jin, Shiyu Xue, Pei Yao, Gang Dong, Haoqiang Shi, Xu Jin, Shubo Liu, Ailing Lv, Pengfei Zhang, Jian Shang, Wenxin Chen
Summary: The spaceborne microwave scatterometer (SCAT) is a radar used to quantitatively measure the backscatter coefficient of the Earth's surface. It is mainly used for wide-swath and high-precision measurement of wind speed and direction near the sea surface. Various SCATs have been launched, contributing to improved weather forecasts and typhoon positioning services. The recent launch of China's WindRad, the first Ku and C dual-band SCAT, demonstrates its excellent performance in prelaunch and in-orbit tests, showing its capabilities for high-quality ocean wind measurement and improved applications.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Transplantation
Reshabh Yadav, Michael W. M. Gerrickens, Sander M. J. van Kuijk, Roel H. D. Vaes, Maarten G. J. Snoeijs, Marc R. M. Scheltinga
Summary: This study found that initial Qa <900 mL/min was associated with an increased 4-year CVM risk, and patients with increasing actual Qa every 3 months were more likely to die. However, actual Qa per se was not related to survival.
NEPHROLOGY DIALYSIS TRANSPLANTATION
(2022)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
G. Tang, T. LoSasso, Z. Saleh, J. Mechalakos, S. Lim, I. Laufer, M. Bilsky, J. Yamada, D. Lovelock
Article
Engineering, Biomedical
Pengpeng Zhang, Margie Hunt, Hai Pham, Grace Tang, Gig Mageras
PHYSICS IN MEDICINE AND BIOLOGY
(2015)
Article
Oncology
Grace Tang, Matthew A. Earl, Shuang Luan, Chao Wang, Majid M. Mohiuddin, Cedric X. Yu
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2010)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
M. Gui, Y. Feng, G. Tang, A. Dhople, C. Yu
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
G. Tang, A. Kirov, S. Lim, E. Seppi, D. Morf, S. Thieme, C. Moussot, H. Amols
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
G. Tang, G. Georgiev, S. Lim, D. Lovelock, T. LoSasso, A. Kirov
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
G. Tang, C. Moussot, D. Morf, E. Seppi, H. Amols
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
S. Lim, G. Tang, T. LoSasso
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
S. Lim, G. Tang, T. LoSasso
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
G. Tang, M. Chan, A. Wang, J. Yang, P. Zhang, G. Mageras
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
G. Tang, S. Lim, T. LoSasso
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
T. LoSasso, S. Lim, G. Tang, M. Chan, J. Li, C. Obcemea, Y. Song, R. Ma, G. Yang, W. Xiong, D. Huang, C. Burman, J. Mechalakos, M. Hunt
Review
Engineering, Biomedical
Cedric X. Yu, Grace Tang
PHYSICS IN MEDICINE AND BIOLOGY
(2011)
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
G. Tang, S. Lim, T. LoSasso
Meeting Abstract
Radiology, Nuclear Medicine & Medical Imaging
T. LoSasso, S. Lim, G. Tang, M. Chan, J. Li, C. Obcemea, Y. Song, R. Ma, G. Yang, W. Xiong, D. Huang, C. Burman, J. Mechalakos, M. Hunt