Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Q. Jackie Wu"'
Autor:
Zhuoran Jiang, Yifei Xu, Leshan Sun, Shreyas Srinivasan, Q. Jackie Wu, Liangzhong Xiang, Lei Ren
Publikováno v:
Precision Radiation Oncology, Vol 8, Iss 3, Pp 110-118 (2024)
Abstract Background Nanosecond pulsed electric fields (nsPEF)‐based electroporation is a new therapy modality potentially synergized with radiation therapy to improve treatment outcomes. To verify its treatment accuracy intraoperatively, electroaco
Externí odkaz:
https://doaj.org/article/a21f394db9dd4d55899a543fecf193ab
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Head and neck (HN) cancers pose a difficult problem in the planning of intensity-modulated radiation therapy (IMRT) treatment. The primary tumor can be large and asymmetrical, and multiple organs at risk (OARs) with varying dose-sparing goals lie clo
Externí odkaz:
https://doaj.org/article/a99eb6d2ab604d5ca94234c3e1c6343c
Autor:
Wentao Wang, MS, Yang Sheng, PhD, Manisha Palta, MD, Brian Czito, MD, Christopher Willett, MD, Martin Hito, Fang-Fang Yin, PhD, Qiuwen Wu, PhD, Yaorong Ge, PhD, Q. Jackie Wu, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 6, Iss 4, Pp 100672- (2021)
Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a challenging task, especially with simultaneous integrated boost treatment approaches. We propose a deep learning (DL) framework to accurately predict fluence map
Externí odkaz:
https://doaj.org/article/b2c18c780f8148b784806f78169d91a4
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Treatment planning for prostate volumetric modulated arc therapy (VMAT) can take 5–30 min per plan to optimize and calculate, limiting the number of plan options that can be explored before the final plan decision. Inspired by the speed and accurac
Externí odkaz:
https://doaj.org/article/3f3c62a147c743a893786f8a5642365c
Autor:
Sua Yoo, PhD, Yang Sheng, PhD, Rachel Blitzblau, MD, PhD, Susan McDuff, MD, PhD, Colin Champ, MD, Jay Morrison, BS, CMD, Leigh O’Neill, BS, CMD, Suzanne Catalano, BS, CMD, Fang-Fang Yin, PhD, Q. Jackie Wu, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 6, Iss 2, Pp 100656- (2021)
Purpose: The machine learning–based automated treatment planning (MLAP) tool has been developed and evaluated for breast radiation therapy planning at our institution. We implemented MLAP for patient treatment and assessed our clinical experience f
Externí odkaz:
https://doaj.org/article/3d18efba9fbd4677ba19aced858e711b
Autor:
Wentao Wang, Yang Sheng, Chunhao Wang, Jiahan Zhang, Xinyi Li, Manisha Palta, Brian Czito, Christopher G. Willett, Qiuwen Wu, Yaorong Ge, Fang-Fang Yin, Q. Jackie Wu
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-consuming task. In this study, we aim to develop a novel deep learning framework to generate clinical-quality plans by direct prediction of fl
Externí odkaz:
https://doaj.org/article/3bfd1c579102497790433e421eb308f3
Autor:
Matt Mistro, Yang Sheng, Yaorong Ge, Chris R. Kelsey, Jatinder R. Palta, Jing Cai, Qiuwen Wu, Fang-Fang Yin, Q. Jackie Wu
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Purpose: Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the majority of users and are not designed to improve the skill level of users. In this study, we aim to demonstrate the feasibility that AI can serve
Externí odkaz:
https://doaj.org/article/bd5d3e34c4894a06a4942019d8c2d771
Autor:
Yang Sheng, Taoran Li, Sua Yoo, Fang-Fang Yin, Rachel Blitzblau, Janet K. Horton, Yaorong Ge, Q. Jackie Wu
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
Purpose: To develop an automatic treatment planning system for whole breast radiation therapy (WBRT) based on two intensity-modulated tangential fields, enabling near-real-time planning.Methods and Materials: A total of 40 WBRT plans from a single in
Externí odkaz:
https://doaj.org/article/24a4d9caaf38450c9afaf9ce57894d36
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
Knowledge-based planning (KBP) utilizes experienced planners’ knowledge embedded in prior plans to estimate optimal achievable dose volume histogram (DVH) of new cases. In the regression-based KBP framework, previously planned patients’ anatomica
Externí odkaz:
https://doaj.org/article/41080aad4d2d4015bb99d9a127714aa0
Publikováno v:
Quant Imaging Med Surg
BACKGROUND: Stereotactic body radiation therapy (SBRT) for liver cancer has shown promising therapeutic effects. Effective treatment relies not only on the precise delivery provided by image-guided radiation therapy (IGRT) but also high dose gradient