Acoustic Emissions as a Non-invasive Biomarker of the Structural Health of the Knee von Whittingslow, Daniel. C., Jeong, Hyeon-Ki, Ganti, Venu G., Kirkpatrick, Nathan J., Kogler, Geza F., Inan, Omer T.

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Vibration Stimulation as a Non-Invasive Approach to Monitor the Severity of Meniscus Tears von Safaei, Mohsen, Bolus, Nicholas B., Whittingslow, Daniel C., Jeong, Hyeon-Ki, Erturk, Alper, Inan, Omer T.

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Structural analysis of woven-fabric composite considering changes in degrees of in-plane shear deformation during manufacturing process von Lee, Jeong-Min, Jeong, Ki-Hyeon, Moon, Young-Hoon, Park, Joon-Hong, Ko, Dae-Cheol

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Estimating Knee Joint Load Using Acoustic Emissions During Ambulation von Scherpereel, Keaton L., Bolus, Nicholas B., Jeong, Hyeon Ki, Inan, Omer T., Young, Aaron J.

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Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations von Jeong, Hyeon Ki, Park, Christine, Henao, Ricardo, Kheterpal, Meenal

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A Glove-Based Form Factor for Collecting Joint Acoustic Emissions: Design and Validation von Bolus, Nicholas B, Jeong, Hyeon Ki, Whittingslow, Daniel C, Inan, Omer T

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Quantifying the Consistency of Wearable Knee Acoustical Emission Measurements During Complex Motions von Toreyin, Hakan, Hyeon Ki Jeong, Hersek, Sinan, Teague, Caitlin N., Inan, Omer T.

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Current Landscape of Generative Adversarial Networks for Facial Deidentification in Dermatology: Systematic Review and Evaluation von Park, Christine, Jeong, Hyeon Ki, Henao, Ricardo, Kheterpal, Meenal

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Image Quality Assessment Using Convolutional Neural Network in Clinical Skin Images von Jeong, Hyeon Ki, Park, Christine, Jiang, Simon W., Nicholas, Matilda, Chen, Suephy, Henao, Ricardo, Kheterpal, Meenal

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42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images von Jeong, Hyeon Ki, Park, Christine, Diamond, Carrie, Henao, Ricardo, Kheterpal, Meenal

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43822 Quantifying Melanoma from Whole Slide Image using Multiple Instance Learning von Jeong, Hyeon Ki, Ravichandran, Surya, Chen, Emily, Frisco, Nicholas, Subrahmanyan, Rishi, Henao, Ricardo, Al-Rohil, Rami, Kheterpal, Meenal

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A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography von Dow, Eliot R, Jeong, Hyeon Ki, Katz, Ella Arnon, Toth, Cynthia A, Wang, Dong, Lee, Terry, Kuo, David, Allingham, Michael J, Hadziahmetovic, Majda, Mettu, Priyatham S, Schuman, Stefanie, Carin, Lawrence, Keane, Pearse A, Henao, Ricardo, Lad, Eleonora M

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b-Value: A Potential Biomarker for Assessing Knee-Joint Health Using Acoustical Emission Sensing von Jeong, Hyeon Ki, Whittingslow, Daniel, Inan, Omer T.

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Universal load cell features that characterize patient motion in three dimensions in a hospital bed von Receveur, Timothy J, Hochman, Daniel M, Jeong, Hyeon Ki

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MOBILITY LEVEL USER INTERFACE INCLUDING SMART TURN REMINDERS BASED ON RISK OF PATIENT von Receveur, Timothy, Urrutia, Eugene, Batman, Sinan, Jeong, Hyeon Ki

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A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography von Dow, Eliot R, Jeong, Hyeon Ki, Katz, Ella Arnon, Toth, Cynthia A, Wang, Dong, Lee, Terry, Kuo, David, Allingham, Michael J, Hadziahmetovic, Majda, Mettu, Priyatham S, Schuman, Stefanie, Carin, Lawrence, Keane, Pearse A, Henao, Ricardo, Lad, Eleonora M

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UNIVERSAL LOAD CELL FEATURES THAT CHARACTERIZE PATIENT MOTION IN THREE DIMENSIONS IN A HOSPITAL BED von HOCHMAN, Daniel M, RECEVEUR, Timothy J, JEONG, Hyeon Ki

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UNIVERSAL LOAD BEAM FEATURES THAT CHARACTERIZE PATIENT MOTION IN THREE DIMENSIONS IN A HOSPITAL BED von HOCHMAN, Daniel M, RECEVEUR, Timothy J, JEONG, Hyeon Ki

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Glove-Based Form Factor for Bio-Acoustical Sensing von Bolus, Nicholas B, Inan, Omer T, Whittingslow, Daniel, Jeong, Hyeon Ki

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Wearable technologies for joint health assessment von Pouyan, Maziyar Baran, Hersek, Sinan, Kogler, Geza, Sawka, Michael N, Millard-Stafford, Mindy L, Hasler, Jennifer O, Teague, Caitlin, Inan, Omer T, Toreyin, Hakan, Jeong, Hyeon Ki

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