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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Benovoy, M., Jacobs, M., Cheriet, F., Dahdah, N., Arai, A. E., & Hsu, L.-Y. (2017). Robust Universal Nonrigid Motion Correction Framework for First-Pass Cardiac MR Perfusion Imaging. Journal of Magnetic Resonance Imaging, 46(4), 1060-1072. External link
Beliveau, P., Cheriet, F., Anderson, S. A., Taylor, J., Arai, A. E., & Hsu, L.-Y. Texture analysis of diffuse myocardial fibrosis from late gadolinium enhanced magnetic resonance imaging in aging rats [Poster]. Unspecified (1 page). External link
Beliveau, P., Cheriet, F., Anderson, S. A., Taylor, J., Arai, A. E., & Hsu, L.-Y. (2014, January). Textural analysis of late gadolinium enhanced magnetic resonance images can discriminate acute from chronic myocardial infarction [Poster]. 17th annual SCMR Scientific Sessions, New Orleans, LA, USA (2 pages). Published in Journal of Cardiovascular Magnetic Resonance, 16(S1). Available
Beliveau, P., Cheriet, F., Anderson, S. A., Taylor, J., Berul, S., Arai, A. E., & Hsu, L.-Y. (2013, April). Textural analysis of diffuse myocardial fibrosis in aging rats: a late gadolinium enhancement magnetic resonance imaging study [Paper]. 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2013), San Francisco, CA, USA. External link
Hsu, L.-Y., Kellman, P., Gatehouse, P., Conn, H., Benovoy, M., Jacobs, M., & Arai, A. E. (2016, January). Correlations and validations of dual-bolus and dual-sequence quantification of first-pass myocardial perfusion CMR in humans and canines [Paper]. 19th annual SCMR Scientific Sessions, Los Angeles, Calif. (2 pages). Published in Journal of Cardiovascular Magnetic Resonance, 18(S1). Available
Hsu, L.-Y., Jacobs, M., Benovoy, M., Conn, H., & Arai, A. E. (2016, January). Fully automated pixel-wise myocardial blood flow quantification with first-pass perfusion CMR [Presentation]. In 19th annual SCMR Scientific Session, Los Angeles, CA, USA (2 pages). Published in Journal of Cardiovascular Magnetic Resonance, 18(S1). Available
Jacobs, M., Benovoy, M., Chang, L.-C., Arai, A. E., & Hsu, L.-Y. (2016). Evaluation of an automated method for arterial input function detection for first-pass myocardial perfusion cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 18(1), 1-11. Available
Jacobs, M., Gorbachev, M., Benovoy, M., Chang, L.-C., Arai, A. E., & Hsu, L.-Y. (2015, April). Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis [Paper]. IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015), New York, États-Unis. External link
