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1
Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test
In: Front Oncol (2022)
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2
Reliability and validity of the Chinese version of Oldenburg Burnout Inventory for Chinese nurses
In: Nurs Open (2021)
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3
The relationships between bilingual learning, willingness to study abroad and convergent creativity
Zhao, Yuan; Yuan, Yuan; Shen, Wangbing. - : PeerJ Inc., 2019
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4
Additional file 1: of Co-circulation of Aedes flavivirus, Culex flavivirus, and Quang Binh virus in Shanghai, China ...
Fang, Yuan; Zhang, Yi; Zheng-Bin Zhou. - : figshare, 2018
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5
Additional file 1: of Primary pulmonary amebic abscess in a patient with pulmonary adenocarcinoma: a case report ...
Liu, Yuan-Yuan; Ying, Yue; Chen, Chong. - : figshare, 2018
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6
Additional file 1: of Co-circulation of Aedes flavivirus, Culex flavivirus, and Quang Binh virus in Shanghai, China ...
Fang, Yuan; Zhang, Yi; Zheng-Bin Zhou. - : figshare, 2018
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7
Additional file 1: of Primary pulmonary amebic abscess in a patient with pulmonary adenocarcinoma: a case report ...
Liu, Yuan-Yuan; Ying, Yue; Chen, Chong. - : figshare, 2018
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8
Written Corrective Feedback: A Review of Studies since Truscott (1996)
In: Working Papers in Applied Linguistics and TESOL, Vol 13, Iss 2, Pp 69-84 (2015) (2015)
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9
Studying the motivations of Chinese young EFL learners through metaphor analysis
In: ELT journal. - Oxford : Oxford University Press 68 (2014) 3, 286
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10
AN INVESTIGATION OF AMERICAN STUDENTS ’ TONAL ACQUISITION TOWARDS DISYLLABIC WORDS WITH SAME OR DIFFERENT TONES BY
In: http://scholarship.shu.edu/cgi/viewcontent.cgi?article%3D2986%26context%3Ddissertations (2014)
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11
How the speed of working memory updating influences the on-line thematic processing of simple sentences in Mandarin Chinese
Li, Xiao-qing; Zheng, Yuan-yuan; Zhao, Hai-yan. - : Springer Netherlands, 2014
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12
Written Corrective Feedback: A Review of Studies since Truscott (1996)
Meng, Yuan-Yuan. - 2013
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13
Written Corrective Feedback: A Review of Studies since Truscott (1996) ...
Meng, Yuan-Yuan. - : Studies in Applied Linguistics and TESOL, 2013
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14
Written Corrective Feedback: A Review of Studies since Truscott (1996) ...
Meng, Yuan-Yuan. - : Columbia University, 2013
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15
Gross feature recognition of anatomical images based on atlas grid (GAIA): incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI
In: Qin, Yuan-Yuan; Hsu, Johnny T; Yoshida, Shoko; Faria, Andreia V; Oishi, Kumiko; Unschuld, Paul G; Redgrave, Graham W; Ying, Sarah H; Ross, Christopher A; van Zijl, Peter C M; Hillis, Argye E; Albert, Marilyn S; Lyketsos, Constantine G; Miller, Michael I; Mori, Susumu; Oishi, Kenichi (2013). Gross feature recognition of anatomical images based on atlas grid (GAIA): incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI. NeuroImage: Clinical, 3:202-211. (2013)
Abstract: We aimed to develop a new method to convert T1-weighted brain MRIs to feature vectors, which could be used for content-based image retrieval (CBIR). To overcome the wide range of anatomical variability in clinical cases and the inconsistency of imaging protocols, we introduced the Gross feature recognition of Anatomical Images based on Atlas grid (GAIA), in which the local intensity alteration, caused by pathological (e.g., ischemia) or physiological (development and aging) intensity changes, as well as by atlas-image misregistration, is used to capture the anatomical features of target images. As a proof-of-concept, the GAIA was applied for pattern recognition of the neuroanatomical features of multiple stages of Alzheimer's disease, Huntington's disease, spinocerebellar ataxia type 6, and four subtypes of primary progressive aphasia. For each of these diseases, feature vectors based on a training dataset were applied to a test dataset to evaluate the accuracy of pattern recognition. The feature vectors extracted from the training dataset agreed well with the known pathological hallmarks of the selected neurodegenerative diseases. Overall, discriminant scores of the test images accurately categorized these test images to the correct disease categories. Images without typical disease-related anatomical features were misclassified. The proposed method is a promising method for image feature extraction based on disease-related anatomical features, which should enable users to submit a patient image and search past clinical cases with similar anatomical phenotypes.
Keyword: 610 Medicine & health; Alzheimer's disease; Atlas; Feature recognition; Huntington's disease; Institute for Regenerative Medicine (IREM); Primary progressive aphasia; Spinocerebellar ataxia
URL: https://doi.org/10.1016/j.nicl.2013.08.006
https://www.zora.uzh.ch/id/eprint/91242/
https://doi.org/10.5167/uzh-91242
https://www.zora.uzh.ch/id/eprint/91242/1/Qin_et_al_Gross_feature_recognition.pdf
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16
Written Corrective Feedback: A Review of Studies since Truscott (1996)
In: Studies in Applied Linguistics & TESOL, Vol 13, Iss 2 (2013) (2013)
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17
Second Language Learning and Identity: Cracking Metaphors in Ideological and Poetic Discourse in the Third Space. Mika Yoshimoto. Amherst, NY: Cambria Press, 2008. xv + 312 pp. [Rezension]
In: Zenkoku-Gogaku-Kyōiku-Gakkai. JALT journal. - Tokyo 32 (2010) 2, 216-218
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