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Refinado por: Nome da Publicação: British Journal Of Radiology remover
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1
Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study
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Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study

Leijenaar, Ralph Th ; Bogowicz, Marta ; Jochems, Arthur ; Hoebers, Frank Jp ; Wesseling, Frederik Wr ; Huang, Sophie H ; Chan, Biu ; Waldron, John N ; O'Sullivan, Brian ; Rietveld, Derek ; Leemans, C Rene ; Brakenhoff, Ruud H ; Riesterer, Oliver ; Tanadini-Lang, Stephanie ; Guckenberger, Matthias ; Ikenberg, Kristian ; Lambin, Philippe

British journal of radiology, 2018-06, Vol.91 (1086), p.20170498-20170498 [Periódico revisado por pares]

England: The British Institute of Radiology

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2
Survival prediction for oral tongue cancer patients via probabilistic genetic algorithm optimized neural network models
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Survival prediction for oral tongue cancer patients via probabilistic genetic algorithm optimized neural network models

Pan, Xiaoying ; Zhang, Ting ; Yang, QingPing ; Yang, Di ; Rwigema, Jean-Claude ; Qi, X Sharon

British journal of radiology, 2020-08, Vol.93 (1112), p.20190825-20190825 [Periódico revisado por pares]

England: The British Institute of Radiology

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3
Tumor radiomic features complement clinico-radiological factors in predicting long-term local control and laryngectomy free survival in locally advanced laryngo-pharyngeal cancers
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Tumor radiomic features complement clinico-radiological factors in predicting long-term local control and laryngectomy free survival in locally advanced laryngo-pharyngeal cancers

Agarwal, Jai Prakash ; Sinha, Shwetabh ; Goda, Jayant Sastri ; Joshi, Kishor ; Mhatre, Ritesh ; Kannan, Sadhana ; Laskar, Sarbani Ghosh ; Gupta, Tejpal ; Murthy, Vedang ; Budrukkar, Ashwini ; Mummudi, Naveen ; Ganeshan, Balaji

British journal of radiology, 2020-05, Vol.93 (1109), p.20190857-20190857 [Periódico revisado por pares]

England: The British Institute of Radiology

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4
Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma
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Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma

Peng, Hui ; Yang, Qiuxing ; Xue, Ting ; Chen, Qiaoling ; Li, Manman ; Duan, Shaofeng ; Cai, Bo ; Feng, Feng

British journal of radiology, 2022-02, Vol.95 (1130), p.20210918-20210918 [Periódico revisado por pares]

England: The British Institute of Radiology

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5
Feasibility of an ADC-based radiomics model for predicting pelvic lymph node metastases in patients with stage IB-IIA cervical squamous cell carcinoma
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Feasibility of an ADC-based radiomics model for predicting pelvic lymph node metastases in patients with stage IB-IIA cervical squamous cell carcinoma

Yu, Yan Yan ; Zhang, Rui ; Dong, Rui Tong ; Hu, Qi Yun ; Yu, Tao ; Liu, Fan ; Luo, Ya Hong ; Dong, Yue

British journal of radiology, 2019-05, Vol.92 (1097), p.20180986-20180986 [Periódico revisado por pares]

England: The British Institute of Radiology

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6
Imaging in head and neck squamous cell carcinoma: the potential role of PET/MRI
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Imaging in head and neck squamous cell carcinoma: the potential role of PET/MRI

Becker, Minerva ; Zaidi, Habib

British journal of radiology, 2014-04, Vol.87 (1036), p.20130677-20130677 [Periódico revisado por pares]

England: The British Institute of Radiology

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7
A preoperative radiomics model for the identification of lymph node metastasis in patients with early-stage cervical squamous cell carcinoma
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A preoperative radiomics model for the identification of lymph node metastasis in patients with early-stage cervical squamous cell carcinoma

Yan, Lifen ; Yao, Huasheng ; Long, Ruichun ; Wu, Lei ; Xia, Haotian ; Li, Jinglei ; Liu, Zaiyi ; Liang, Changhong

British journal of radiology, 2020-12, Vol.93 (1116), p.20200358-20200358 [Periódico revisado por pares]

England: The British Institute of Radiology

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8
Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features
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Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features

Bashir, Usman ; Kawa, Bhavin ; Siddique, Muhammad ; Mak, Sze Mun ; Nair, Arjun ; Mclean, Emma ; Bille, Andrea ; Goh, Vicky ; Cook, Gary

British journal of radiology, 2019-07, Vol.92 (1099), p.20190159-20190159 [Periódico revisado por pares]

England: The British Institute of Radiology

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9
T1 mapping and multimodel diffusion-weighted imaging in the assessment of cervical cancer: a preliminary study
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T1 mapping and multimodel diffusion-weighted imaging in the assessment of cervical cancer: a preliminary study

Li, Shujian ; Liu, Jie ; Zhang, Wenhua ; Lu, Huifang ; Wang, Weijian ; Lin, Liangjie ; Zhang, Yong ; Cheng, Jingliang

British journal of radiology, 2023-08, Vol.96 (1148), p.20220952-20220952 [Periódico revisado por pares]

England

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10
3D cinematic rendering of the calvarium, maxillofacial structures, and skull base: preliminary observations
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3D cinematic rendering of the calvarium, maxillofacial structures, and skull base: preliminary observations

Rowe, Steven P ; Zinreich, S James ; Fishman, Elliot K

British journal of radiology, 2018-06, Vol.91 (1086), p.20170826-20170826 [Periódico revisado por pares]

England: The British Institute of Radiology

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