• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Li, Yuan (32)
    • Li, Yuan-Fang (9)
    • Abrams, Mitchell (7)
    • Agić, Željko (7)
    • Ahrenberg, Lars (7)
    • Aleksandravičiūtė, Gabrielė (7)
    • Antonsen, Lene (7)
    • Aplonova, Katya (7)
    • Aranzabe, Maria Jesus (7)
    • Arutie, Gashaw (7)
    •   more
  • 
    Year:
    
    • 2022 (1)
    • 2021 (10)
    • 2020 (4)
    • 2019 (5)
    • 2018 (5)
    • 2017 (3)
    • 2014 (3)
    • 2013 (5)
    • 2011 (5)
    • 2010 (2)
    •   more
  • 
    Medium
  • 
    Type:
    
    • Article (39)
    • Book (6)
    • Miscellaneous (6)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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 Page: 1 2 3 Hits 1 – 20 of 51 1 Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test Ouyang, Hanqiang; Meng, Fanyu; Liu, Jianfang; Song, Xinhang; Li, Yuan; Yuan, Yuan; Wang, Chunjie; Lang, Ning; Tian, Shuai; Yao, Meiyi; Liu, Xiaoguang; Yuan, Huishu; Jiang, Shuqiang; Jiang, Liang In: Front Oncol (2022) Abstract: BACKGROUND: Recently, the Turing test has been used to investigate whether machines have intelligence similar to humans. Our study aimed to assess the ability of an artificial intelligence (AI) system for spine tumor detection using the Turing test. METHODS: Our retrospective study data included 12179 images from 321 patients for developing AI detection systems and 6635 images from 187 patients for the Turing test. We utilized a deep learning-based tumor detection system with Faster R-CNN architecture, which generates region proposals by Region Proposal Network in the first stage and corrects the position and the size of the bounding box of the lesion area in the second stage. Each choice question featured four bounding boxes enclosing an identical tumor. Three were detected by the proposed deep learning model, whereas the other was annotated by a doctor; the results were shown to six doctors as respondents. If the respondent did not correctly identify the image annotated by a human, his answer was considered a misclassification. If all misclassification rates were >30%, the respondents were considered unable to distinguish the AI-detected tumor from the human-annotated one, which indicated that the AI system passed the Turing test. RESULTS: The average misclassification rates in the Turing test were 51.2% (95% CI: 45.7%–57.5%) in the axial view (maximum of 62%, minimum of 44%) and 44.5% (95% CI: 38.2%–51.8%) in the sagittal view (maximum of 59%, minimum of 36%). The misclassification rates of all six respondents were >30%; therefore, our AI system passed the Turing test. CONCLUSION: Our proposed intelligent spine tumor detection system has a similar detection ability to annotation doctors and may be an efficient tool to assist radiologists or orthopedists in primary spine tumor detection. Keyword: Oncology URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962659/ https://doi.org/10.3389/fonc.2022.814667 BASE Hide details 2 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Exploiting Scene Graphs for Human-Object Interaction Detection ... He, Tao; Gao, Lianli; Song, Jingkuan. - : arXiv, 2021 BASE Show details 6 XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages ... Hasan, Tahmid; Bhattacharjee, Abhik; Islam, Md Saiful. - : arXiv, 2021 BASE Show details 7 CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs ... Hasan, Tahmid; Bhattacharjee, Abhik; Ahmad, Wasi Uddin. - : arXiv, 2021 BASE Show details 8 Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ... 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; ., Gholamreza; Bi, Sheng. - : Underline Science Inc., 2021 BASE Show details 9 XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages ... 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; Bhattacharjee, Abhik; Hasan, Tahmid. - : Underline Science Inc., 2021 BASE Show details 10 XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages Mubasshir, Kazi; Bhattacharjee, Abhik; Kang, Yong-Bin... In: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online, 2 August 2021 (2021) BASE Show details 11 Oral microbiota transplantation fights against head and neck radiotherapy-induced oral mucositis in mice Xiao, Huiwen; Fan, Yao; Li, Yuan... In: Comput Struct Biotechnol J (2021) BASE Show details 12 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 13 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 14 Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases ... The 28th International Conference on Computational Linguistics 2020; Bi, Sheng; Cheng, Xiya. - : Underline Science Inc., 2020 BASE Show details 15 The influence of initial defect morphology of alveolar ridge on volumetric change of grafted bone following guided bone regeneration in the anterior maxilla region: an exploratory retrospective study Li, Yuan; Zhang, Xiao-Meng; Qian, Shu-Jiao... In: Ann Transl Med (2020) BASE Show details 16 Themenschwerpunkt Deutsch als Fremdsprache in China Li, Yuan [Herausgeber]. - Berlin : De Gruyter, 2019 DNB Subject Category Language Show details 17 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 18 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 19 Massively Multilingual Transfer for NER ... Rahimi, Afshin; Li, Yuan; Cohn, Trevor. - : arXiv, 2019 BASE Show details 20 Massively multilingual transfer for NER Rahimi, Afshin; Li, Yuan; Cohn, Trevor. - : Association for Computational Linguistics -ACL, 2019 BASE Show details Page: 1 2 3

Mobile view All Catalogues UB Frankfurt Linguistik 1 IDS Mannheim 3 OLC Linguistik 13 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 3 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 4 BDSL 0 IDS Bibliografie zur deutschen Grammatik 2 IDS Bibliografie zur Gesprächsforschung 1 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 27 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0