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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 Chinese secondary school students’ reading engagement profiles: associations with reading comprehension [<Journal>] Lin, Jiangze [Verfasser]; Li, Qian [Verfasser]; Sun, Haoqi [Verfasser]. DNB Subject Category Language Show details 2 {C}as{EE}: {A} Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Guo , Shu; Hei, Yiming. - : Underline Science Inc., 2021 BASE Show details 3 A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics ... Liang, Hongru; Wang, Haozheng; Li, Qian. - : arXiv, 2021 BASE Show details 4 Multi-level word features based on CNN for fake news detection in cultural communication [<Journal>] Li, Qian [Verfasser]; Hu, Qingyuan [Verfasser]; Lu, Youshui [Verfasser]. DNB Subject Category Language Show details 5 Prosodically conditioned neutral-tone realization in Tianjin Mandarin [<Journal>] Li, Qian [Verfasser]; Chen, Yiya [Verfasser] DNB Subject Category Language Show details 6 Play responsibly? Perceptions of Warning Messages on Lottery Tickets Li, Qian; Horn, Tori; Howie, Whitney C... In: International Conference on Gambling & Risk Taking (2019) BASE Show details 7 L-NAME releases nitric oxide and potentiates subsequent nitroglycerin-mediated vasodilation Liu, Taiming; Zhang, Meijuan; Mukosera, George T.. - : Elsevier, 2019 BASE Show details 8 A study of deep learning methods for de-identification of clinical notes in cross-institute settings Yang, Xi; Lyu, Tianchen; Li, Qian. - : BioMed Central, 2019 BASE Show details 9 Representation of Deep Features using Radiologist defined Semantic Features Paul, Rahul; Liu, Ying; Li, Qian. - 2018 BASE Show details 10 Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer Yip, Stephen S. F.; Liu, Ying; Parmar, Chintan. - : Nature Publishing Group UK, 2017 BASE Show details 11 Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer Yip, Stephen S. F.; Liu, Ying; Parmar, Chintan; Li, Qian; Liu, Shichang; Qu, Fangyuan; Ye, Zhaoxiang; Gillies, Robert J.; Aerts, Hugo J. W. L.. - : Nature Publishing Group UK, 2017 Abstract: Tumor phenotypes captured in computed tomography (CT) images can be described qualitatively and quantitatively using radiologist-defined “semantic” and computer-derived “radiomic” features, respectively. While both types of features have shown to be promising predictors of prognosis, the association between these groups of features remains unclear. We investigated the associations between semantic and radiomic features in CT images of 258 non-small cell lung adenocarcinomas. The tumor imaging phenotypes were described using 9 qualitative semantic features that were scored by radiologists, and 57 quantitative radiomic features that were automatically calculated using mathematical algorithms. Of the 9 semantic features, 3 were rated on a binary scale (cavitation, air bronchogram, and calcification) and 6 were rated on a categorical scale (texture, border definition, contour, lobulation, spiculation, and concavity). 32–41 radiomic features were associated with the binary semantic features (AUC = 0.56–0.76). The relationship between all radiomic features and the categorical semantic features ranged from weak to moderate (|Spearmen’s correlation| = 0.002–0.65). There are associations between semantic and radiomic features, however the associations were not strong despite being significant. Our results indicate that radiomic features may capture distinct tumor phenotypes that fail to be perceived by naked eye that semantic features do not describe and vice versa. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pubmed/28615677 https://doi.org/10.1038/s41598-017-02425-5 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471260/ BASE Hide details 12 A Novel DFNA36 Mutation in TMC1 Orthologous to the Beethoven (Bth) Mouse Associated with Autosomal Dominant Hearing Loss in a Chinese Family Zhao, Yali; Wang, Dayong; Zong, Liang. - : Public Library of Science, 2014 BASE Show details 13 New Early Eocene Basal tapiromorph from Southern China and Its Phylogenetic Implications Bai, Bin; Wang, Yuanqing; Meng, Jin. - : Public Library of Science, 2014 BASE Show details 14 The Holistic Effects of Acupuncture Treatment Yang, Jing-Wen; Li, Qian-Qian; Li, Fang. - : Hindawi Publishing Corporation, 2014 BASE Show details 15 Grey and white matter changes in children with monocular amblyopia: voxel-based morphometry and diffusion tensor imaging study Li, Qian; Jiang, Qinying; Guo, Mingxia. - : BMJ Publishing Group Ltd, 2013 BASE Show details 16 L2 Writing Development and Tertiary Grade Level Wang Hongwei; Li Qian In: http://hrmars.com/hrmars_papers/L2_Writing_Development_and_Tertiary_Grade_Level.pdf BASE Show details 17 The Holistic Effects of Acupuncture Treatment Jing-Wen Yang; Fang Li Qian-Qian Li; Qing-Nan Fu... In: http://downloads.hindawi.com/journals/ecam/2014/739708.pdf BASE Show details 18 L2 Writing Development and Tertiary Grade Level Wang Hongwei; Li Qian BASE Show details

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