Search Results - "Henderson, Robert D E"

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  1. 1

    Nanoscale Structure of Lipid-Gemini Surfactant Mixed Monolayers Resolved with AFM and KPFM Microscopy by Henderson, Robert D E, Mei, Nanqin, Xu, Yue, Gaikwad, Ravi, Wettig, Shawn, Leonenko, Zoya

    Published in Nanomaterials (Basel, Switzerland) (01-04-2024)
    “…Drug delivery vehicles composed of lipids and gemini surfactants (GS) are promising in gene therapy. Tuning the composition and properties of the delivery…”
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  2. 2

    Accurate Analytic Potential and Born–Oppenheimer Breakdown Functions for MgH and MgD from a Direct-Potential-Fit Data Analysis by Henderson, Robert D. E, Shayesteh, Alireza, Tao, Jason, Haugen, Carl C, Bernath, Peter F, Le Roy, Robert J

    “…New high-resolution visible Fourier transform emission spectra of the A 2Π → X 2Σ+ and B′ 2Σ+ → X 2Σ+ systems of 24MgD and of the B′ 2Σ+ → X 2Σ+ systems of…”
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  3. 3

    Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review by Padash, Sirwa, Mohebbian, Mohammad Reza, Adams, Scott J., Henderson, Robert D. E., Babyn, Paul

    Published in Pediatric radiology (01-07-2022)
    “…Most artificial intelligence (AI) studies have focused primarily on adult imaging, with less attention to the unique aspects of pediatric imaging. The…”
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  4. 4

    Artificial Intelligence Solutions for Analysis of X-ray Images by Adams, Scott J., Henderson, Robert D. E., Yi, Xin, Babyn, Paul

    “…Artificial intelligence (AI) presents a key opportunity for radiologists to improve quality of care and enhance the value of radiology in patient care and…”
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  5. 5

    A pictorial review of the radiographic skeletal findings in Morquio syndrome (mucopolysaccharidosis type IV) by Padash, Sirwa, Obaid, Haron, Henderson, Robert D. E., Padash, Yaseen, Adams, Scott J., Miller, Stephen F., Babyn, Paul

    Published in Pediatric radiology (01-05-2023)
    “…Morquio syndrome, also known as Morquio-Brailsford syndrome or mucopolysaccharidosis type IV (MPS IV), is a subgroup of mucopolysaccharidosis. It is an…”
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    Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning by Henderson, Robert D. E., Yi, Xin, Adams, Scott J., Babyn, Paul

    Published in Journal of digital imaging (01-08-2021)
    “…We develop and evaluate a deep learning algorithm to classify multiple catheters on neonatal chest and abdominal radiographs. A convolutional neural network…”
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  7. 7

    Evolution in the discs and bulges of group galaxies since z= 0.4 by McGee, Sean L., Balogh, Michael L., Henderson, Robert D. E., Wilman, David J., Bower, Richard G., Mulchaey, John S., Oemler, Augustus

    “…We present quantitative morphology measurements of a sample of optically selected group galaxies at 0.3 < z < 0.55 using the Hubble Space Telescope (HST)…”
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  8. 8

    The stellar mass content of distant galaxy groups by Balogh, Michael L., Wilman, Dave, Henderson, Robert D. E., Bower, Richard G., Gilbank, David, Whitaker, Richard, Morris, Simon L., Hau, George, Mulchaey, J. S., Oemler, A., Carlberg, R. G.

    “…We have obtained near-infrared (NIR) imaging of 58 galaxy groups, in the redshift range 0.1 < z < 0.6, from the William Herschel Telescope and from the Spitzer…”
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  9. 9

    Ground State Potential Energy Curve and Dissociation Energy of MgH by Shayesteh, Alireza, Henderson, Robert D. E, Le Roy, Robert J, Bernath, Peter F

    “…New high-resolution visible emission spectra of the MgH molecule have been recorded with high signal-to-noise ratios using a Fourier transform spectrometer…”
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  10. 10

    Neonatal Catheter and Tube Placement and Radiographic Assessment Statistics in Relation to Important Anatomic Landmarks by Henderson, Robert D E, Padash, Sirwa, Adams, Scott J, Augusta, Carolyn, Yi, Xin, Babyn, Paul

    Published in American journal of perinatology (01-05-2024)
    “…Neonatal catheters and tubes are commonly used for monitoring and support for intensive care and must be correctly positioned to avoid complications. Position…”
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  11. 11

    Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment? by Yi, Xin, Adams, Scott J, Henderson, Robert D E, Babyn, Paul

    Published in Radiology. Artificial intelligence (01-01-2020)
    “…Catheters are the second most common abnormal finding on radiographs. The position of catheters must be assessed on all radiographs because serious…”
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  12. 12

    EXPLORING THE DIVERSITY OF GROUPS AT 0.1 < z < 0.8 WITH X-RAY AND OPTICALLY SELECTED SAMPLES by Connelly, J L, Wilman, David J, FINOGUENOV, ALEXIS, Hou, Annie, MULCHAEY, JOHN S, McGee, Sean L, Balogh, Michael L, Parker, Laura C, Saglia, Roberto, Henderson, Robert D E, Bower, Richard G

    Published in The Astrophysical journal (10-09-2012)
    “…We present the global group properties of two samples of galaxy groups containing 39 high-quality X-ray-selected systems and 38 optically (spectroscopically)…”
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  13. 13

    Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment? by Yi, Xin, Adams, Scott J, Henderson, Robert D. E, Babyn, Paul

    Published 09-02-2020
    “…Catheters are the second most common abnormal finding on radiographs. The position of catheters must be assessed on all radiographs, as serious complications…”
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    Exploring the Diversity of Groups at 0.1<z<0.8 with X-ray and Optically Selected Samples by Connelly, Jennifer L, Wilman, David J, Finoguenov, Alexis, Hou, Annie, Mulchaey, John S, McGee, Sean L, Balogh, Michael L, Parker, Laura C, Saglia, Roberto, Henderson, Robert D. E, Bower, Richard G

    Published 01-08-2012
    “…2012, ApJ, 756, 139 We present the global group properties of two samples of galaxy groups containing 39 high quality X-ray selected systems and 38 optically…”
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    Evolution in the Disks and Bulges of Group Galaxies since z=0.4 by McGee, Sean L, Balogh, Michael L, Henderson, Robert D. E, Wilman, David J, Bower, Richard G, Mulchaey, John S, OemlerJr, Augustus

    Published 17-04-2008
    “…We present quantitative morphology measurements of a sample of optically selected group galaxies at 0.3 < z < 0.55 using the Hubble Space Telescope (HST)…”
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    Automatic classification of multiple catheters in neonatal radiographs with deep learning by Henderson, Robert D. E, Yi, Xin, Adams, Scott J, Babyn, Paul

    Published 14-11-2020
    “…We develop and evaluate a deep learning algorithm to classify multiple catheters on neonatal chest and abdominal radiographs. A convolutional neural network…”
    Get full text
    Journal Article