Best Paper Selection

doi:10.1055/s-0039-1677938

Best Paper Selection

Yearbook of Medical Informatics ◽

10.1055/s-0039-1677938 ◽

2019 ◽

Vol 28 (01) ◽

pp. 223-223

Keyword(s):

Medical Imaging ◽

Automatic Generation ◽

Biomedical Text ◽

Sentence Clustering ◽

Science Article

Jing B, Xie P Xing E. On the automatic generation of medical imaging reports. Proc of ACL 2018. Melbourne, Australia; 2018. p. 2577-86 https://www.aclweb.org/anthology/P18-1240 Moradi M. CIBS: A biomedical text summarizer using topic-based sentence clustering J Biomed Inform 2018;88:53-61 https://www.sciencedirect.com/science/article/pii/S1532046418302156?via%3Dihub

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A New Biomedical Text Summarization Method Based on Sentence Clustering and Frequent Itemsets Mining

Smart Innovation, Systems and Technologies - Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.1 ◽

10.1007/978-3-030-21005-2_14 ◽

2019 ◽

pp. 144-152

Author(s):

Oussama Rouane ◽

Hacene Belhadef ◽

Mustapha Bouakkaz

Keyword(s):

Frequent Itemsets ◽

Text Summarization ◽

Biomedical Text ◽

Summarization Method ◽

Frequent Itemsets Mining ◽

Sentence Clustering

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CIBS: A biomedical text summarizer using topic-based sentence clustering

Journal of Biomedical Informatics ◽

10.1016/j.jbi.2018.11.006 ◽

2018 ◽

Vol 88 ◽

pp. 53-61 ◽

Cited By ~ 3

Author(s):

Milad Moradi

Keyword(s):

Biomedical Text ◽

Sentence Clustering

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Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network

2019 IEEE International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2019.00083 ◽

2019 ◽

Author(s):

Changchang Yin ◽

Buyue Qian ◽

Jishang Wei ◽

Xiaoyu Li ◽

Xianli Zhang ◽

...

Keyword(s):

Neural Network ◽

Medical Imaging ◽

Recurrent Neural Network ◽

Automatic Generation ◽

Diagnostic Report

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Graph-based biomedical text summarization: An itemset mining and sentence clustering approach

Journal of Biomedical Informatics ◽

10.1016/j.jbi.2018.06.005 ◽

2018 ◽

Vol 84 ◽

pp. 42-58 ◽

Cited By ~ 13

Author(s):

Mozhgan Nasr Azadani ◽

Nasser Ghadiri ◽

Ensieh Davoodijam

Keyword(s):

Text Summarization ◽

Biomedical Text ◽

Itemset Mining ◽

Clustering Approach ◽

Sentence Clustering

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On the Automatic Generation of Medical Imaging Reports

10.18653/v1/p18-1240 ◽

2018 ◽

Cited By ~ 17

Author(s):

Baoyu Jing ◽

Pengtao Xie ◽

Eric Xing

Keyword(s):

Medical Imaging ◽

Automatic Generation

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Introduction to Medical Imaging

10.1017/cbo9780511760976 ◽

2009 ◽

Cited By ~ 22

Author(s):

Nadine Barrie Smith ◽

Andrew Webb

Keyword(s):

Medical Imaging

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Introduction to the Science of Medical Imaging

10.1017/cbo9780511994685 ◽

2001 ◽

Cited By ~ 3

Keyword(s):

Medical Imaging

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The Role of Visual Distractors in the Simon Effect

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000382 ◽

2017 ◽

Vol 64 (6) ◽

pp. 387-397 ◽

Cited By ~ 1

Author(s):

Luisa Lugli ◽

Stefania D’Ascenzo ◽

Roberto Nicoletti ◽

Carlo Umiltà

Keyword(s):

Simon Effect ◽

Simon Task ◽

Automatic Generation ◽

Spatial Code ◽

Attentional Model ◽

Previous Evidence ◽

Spatial Stimulus ◽

Attentional Resources ◽

Code Changes

Abstract. The Simon effect lies on the automatic generation of a stimulus spatial code, which, however, is not relevant for performing the task. Results typically show faster performance when stimulus and response locations correspond, rather than when they do not. Considering reaction time distributions, two types of Simon effect have been individuated, which are thought to depend on different mechanisms: visuomotor activation versus cognitive translation of spatial codes. The present study aimed to investigate whether the presence of a distractor, which affects the allocation of attentional resources and, thus, the time needed to generate the spatial code, changes the nature of the Simon effect. In four experiments, we manipulated the presence and the characteristics of the distractor. Findings extend previous evidence regarding the distinction between visuomotor activation and cognitive translation of spatial stimulus codes in a Simon task. They are discussed with reference to the attentional model of the Simon effect.

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