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Akademický článek

Creativity in science, engineering, and the arts: A study of undergraduate students’ perceptions

Autor: Dildora F. Beaulieu

Publikováno v: Journal of Creativity, Vol 32, Iss 3, Pp 100035- (2022)

Creativity is widely recognized as being invaluable for human development and a crucial 21st century talent. Preparing students for an uncertain and complex world requires that higher education promote students’ imagination, originality, curiosity,

Externí odkaz: https://doaj.org/article/3267514590bc44f99786215418a20e01

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Akademický článek

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Akademický článek

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

Publikováno v: PLoS Medicine, Vol 15, Iss 11, p e1002699 (2018)

BackgroundMagnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting k

Externí odkaz: https://doaj.org/article/58daea299efa4384bf4ea63ba59f377a

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Clinical utility of accelerated MAVRIC-SL with robust-PCA compared to conventional MAVRIC-SL in evaluation of total hip arthroplasties

Autor: Brian A. Hargreaves, Philip K. Lee, Kathryn J. Stevens, Zoe Doyle, Daehyun Yoon, Christopher F. Beaulieu, Jarrett Rosenberg

Publikováno v: Skeletal Radiol

OBJECTIVE. To compare the diagnostic performance of a conventional metal artifact suppression sequence MAVRIC-SL (multi-acquisition variable-resonance image combination selective) and a novel 2.6-fold faster sequence employing robust principal compon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40ba5f0f6d2834a53bbdb1ca2247fd3d
https://doi.org/10.1007/s00256-021-03848-y

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Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports

Autor: Audrey Y. Ha, Bao H. Do, Adam L. Bartret, Charles X. Fang, Albert Hsiao, Amelie M. Lutz, Imon Banerjee, Geoffrey M. Riley, Daniel L. Rubin, Kathryn J. Stevens, Erin Wang, Shannon Wang, Christopher F. Beaulieu, Brian Hurt

Publikováno v: Journal of digital imaging, vol 35, iss 3
J Digit Imaging

Scoliosis is a condition of abnormal lateral spinal curvature affecting an estimated 2 to 3% of the US population, or seven million people. The Cobb angle is the standard measurement of spinal curvature in scoliosis but is known to have high interobs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86714244346bfd419025d86812815e86
https://escholarship.org/uc/item/0qd5c2b4

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Automated abnormality detection in lower extremity radiographs using deep learning

Autor: Bhavik N. Patel, Li Fei-Fei, Jin Long, Jared Dunnmon, Nishith Khandwala, Katie Shpanskaya, Mandy Lu, Matthew P. Lungren, Rachel Gardner, Maya Varma, Christopher F. Beaulieu, Pranav Rajpurkar

Publikováno v: Nature Machine Intelligence. 1:578-583

Musculoskeletal disorders are a major healthcare challenge around the world. We investigate the utility of convolutional neural networks (CNNs) in performing generalized abnormality detection on lower extremity radiographs. We also explore the effect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a0b76862184e289522f164309ba7a28
https://doi.org/10.1038/s42256-019-0126-0

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Combined 5‐minute double‐echo in steady‐state with separated echoes and 2‐minute proton‐density‐weighted 2D FSE sequence for comprehensive whole‐joint knee MRI assessment

Autor: Kathryn J. Stevens, Jeffrey P. Wood, Bragi Sveinsson, Marcus T. Alley, Akshay S. Chaudhari, Brian A. Hargreaves, Edwin H.G. Oei, Christopher F. Beaulieu, Jarrett Rosenberg, Garry E. Gold, Feliks Kogan

Publikováno v: Journal of Magnetic Resonance Imaging, 49(7), E183-E194. John Wiley & Sons Inc.
J Magn Reson Imaging

BACKGROUND: Clinical knee MRI protocols require upwards of 15 minutes of scan time. PURPOSE/HYPOTHESIS: To compare the imaging appearance of knee abnormalities depicted with a 5-minute 3D double-echo in steady-state (DESS) sequence with separate echo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6a34a07e1140b73495cfa39cabae776
https://doi.org/10.1002/jmri.26582

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