Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zhang Haozhao"'
This paper proposes a new paradigm: generative blockchain, which aims to transform conventional blockchain technology by combining transaction generation and recording, rather than focusing solely on transaction recording. Central to our design is a
Externí odkaz:
http://arxiv.org/abs/2408.13367
Autor:
Zhang, Haozhao, Dohopolski, Michael, Stojadinovic, Strahinja, Giuliani, Luiza, Anand, Soummitra, Kim, Heejung, Pompos, Arnold, Godley, Andrew, Jiang, Steve, Dan, Tu, Wardak, Zabi, Timmerman, Robert, Peng, Hao
Purpose: We aimed to develop a data-driven multiomics approach integrating radiomics, dosiomics, and delta features to predict treatment response at an earlier stage (intra-treatment) for brain metastases (BMs) patients treated with PULSAR. Methods:
Externí odkaz:
http://arxiv.org/abs/2407.04040
Dose verification based on proton-induced positron emitters is a promising quality assurance tool and may leverage the strength of artificial intelligence. To move a step closer towards practical application, the sensitivity analysis of two factors n
Externí odkaz:
http://arxiv.org/abs/2212.11352
Autor:
Zhang, Haozhao1,2 (AUTHOR), Dohopolski, Michael1,2 (AUTHOR), Stojadinovic, Strahinja1 (AUTHOR), Schmitt, Luiza Giuliani1 (AUTHOR), Anand, Soummitra1 (AUTHOR), Kim, Heejung1 (AUTHOR), Pompos, Arnold1,2 (AUTHOR), Godley, Andrew1,2 (AUTHOR), Jiang, Steve1,2 (AUTHOR), Dan, Tu1 (AUTHOR), Wardak, Zabi1 (AUTHOR), Timmerman, Robert1 (AUTHOR), Peng, Hao1,2 (AUTHOR) hao.peng@utsouthwestern.edu
Publikováno v:
Cancers. Oct2024, Vol. 16 Issue 19, p3425. 15p.
Autor:
Hu, Zongsheng, Yang, Zhenyu, Zhang, Haozhao, Vaios, Eugene, Lafata, Kyle, Yin, Fang-Fang, Wang, Chunhao
Purpose: To develop a novel deep-learning model that integrates radiomics analysis in a multi-dimensional feature fusion workflow for glioblastoma (GBM) post-resection survival prediction. Methods: A cohort of 235 GBM patients with complete surgical
Externí odkaz:
http://arxiv.org/abs/2203.05891
Akademický článek
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Akademický článek
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Autor:
Hou Kun, Li Minghui, Fuquan Zhang, Jianfeng Qiu, Yi Rong, Tiao Chen, Sun Yong, Longchun Xu, Zhang Haozhao, Brandon A. Dyer, Liting Shi, Li Zhengmei, Jyh Cheng Chen, Zhao Huihui
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
Purpose: To develop a method for constructing customizable, multimodal quality control (QC) imaging phantoms based on 3D printing technology.Materials and Methods: Four phantoms were designed and constructed through 3D printing technology using three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84221ea0b090e3212b12781c123c78e4
https://doi.org/10.3389/fphy.2021.605630
https://doi.org/10.3389/fphy.2021.605630
Akademický článek
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Autor:
Yaoyao He, Liting Shi, Jianfeng Qiu, Yi Rong, Zhao Huihui, Zhang Haozhao, Nan Ju, Fuquan Zhang, Zhengzhong He
To fabricate an individualized anthropomorphic lung phantom with tissue-equivalent radiation attenuation properties using a cost-effective three-dimensional (3D) printing technique. Based on anonymized human chest CT images, the phantom contained a 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b9732ec7385b24706e758f7c43924b
https://europepmc.org/articles/PMC6351813/
https://europepmc.org/articles/PMC6351813/