Stent Thrombogenicity Early in High-Risk Interventional Settings Is Driven by Stent Design and Deployment and Protected by Polymer-Drug Coatings von KOLANDAIVELU, Kumaran, SWAMINATHAN, Rajesh, GIBSON, William J, KOLACHALAMA, Vijaya B, NGUYEN-EHRENREICH, Kim-Lien, GIDDINGS, Virginia L, COLEMAN, Leslie, WONG, Gee K, EDELMAN, Elazer R

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Detection of dementia on voice recordings using deep learning: a Framingham Heart Study von Xue, Chonghua, Karjadi, Cody, Paschalidis, Ioannis Ch, Au, Rhoda, Kolachalama, Vijaya B

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Deep-Learning–Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies von Zheng, Yi, Cassol, Clarissa A., Jung, Saemi, Veerapaneni, Divya, Chitalia, Vipul C., Ren, Kevin Y.M., Bellur, Shubha S., Boor, Peter, Barisoni, Laura M., Waikar, Sushrut S., Betke, Margrit, Kolachalama, Vijaya B.

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Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learning von Zhou, Xiao, Qiu, Shangran, Joshi, Prajakta S, Xue, Chonghua, Killiany, Ronald J, Mian, Asim Z, Chin, Sang P, Au, Rhoda, Kolachalama, Vijaya B

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Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment von Qiu, Shangran, Chang, Gary H., Panagia, Marcello, Gopal, Deepa M., Au, Rhoda, Kolachalama, Vijaya B.

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Segmentation of Glomeruli Within Trichrome Images Using Deep Learning von Kannan, Shruti, Morgan, Laura A, Liang, Benjamin, Cheung, McKenzie G, Lin, Christopher Q, Mun, Dan, Nader, Ralph G, Belghasem, Mostafa E, Henderson, Joel M, Francis, Jean M, Chitalia, Vipul C, Kolachalama, Vijaya B

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Sustained Ca2+ mobilizations: A quantitative approach to predict their importance in cell-cell communication and wound healing von Lee, Yoonjoo, Kim, Min Tae, Rhodes, Garrett, Sack, Kelsey, Son, Sung Jun, Rich, Celeste B, Kolachalama, Vijaya B, Gabel, Christopher V, Trinkaus-Randall, Vickery

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Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks von Kolachalama, Vijaya B., Singh, Priyamvada, Lin, Christopher Q., Mun, Dan, Belghasem, Mostafa E., Henderson, Joel M., Francis, Jean M., Salant, David J., Chitalia, Vipul C.

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Relation of gait measures with mild unilateral knee pain during walking using machine learning von Bacon, Kathryn L., Felson, David T., Jafarzadeh, S. Reza, Kolachalama, Vijaya B., Hausdorff, Jeffrey M., Gazit, Eran, Segal, Neil A., Lewis, Cora E., Nevitt, Michael C., Kumar, Deepak

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Machine learning and pre-medical education von Kolachalama, Vijaya B.

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DREAMER: a computational framework to evaluate readiness of datasets for machine learning von Ahangaran, Meysam, Zhu, Hanzhi, Li, Ruihui, Yin, Lingkai, Jang, Joseph, Chaudhry, Arnav P, Farrer, Lindsay A, Au, Rhoda, Kolachalama, Vijaya B

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Constraining OCT with Knowledge of Device Design Enables High Accuracy Hemodynamic Assessment of Endovascular Implants von O'Brien, Caroline C, Kolandaivelu, Kumaran, Brown, Jonathan, Lopes, Augusto C, Kunio, Mie, Kolachalama, Vijaya B, Edelman, Elazer R

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Corrigendum: Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates von Ding, Huitong, Kim, Minzae, Searls, Edward, Sunderaraman, Preeti, Anda-Duran, Ileana De, Low, Spencer, Popp, Zachary, Hwang, Phillip H, Li, Zexu, Goyal, Kriti, Hathaway, Lindsay, Monteverde, Jose, Rahman, Salman, Igwe, Akwaugo, Kolachalama, Vijaya B, Au, Rhoda, Lin, Honghuang

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Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates von Ding, Huitong, Kim, Minzae, Searls, Edward, Sunderaraman, Preeti, De Anda-Duran, Ileana, Low, Spencer, Popp, Zachary, Hwang, Phillip H, Li, Zexu, Goyal, Kriti, Hathaway, Lindsay, Monteverde, Jose, Rahman, Salman, Igwe, Akwaugo, Kolachalama, Vijaya B, Au, Rhoda, Lin, Honghuang

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Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns von Au, Rhoda, Kolachalama, Vijaya B, Paschalidis, Ioannis C

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Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research von Popp, Zachary, Low, Spencer, Igwe, Akwaugo, Rahman, Md Salman, Kim, Minzae, Khan, Raiyan, Oh, Emily, Kumar, Ankita, De Anda-Duran, Ileana, Ding, Huitong, Hwang, Phillip H, Sunderaraman, Preeti, Shih, Ludy C, Lin, Honghuang, Kolachalama, Vijaya B, Au, Rhoda

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Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals von Zhou, Xiao, Balachandra, Akshara R., Romano, Michael F., Peter Chin, Sang, Au, Rhoda, Kolachalama, Vijaya B.

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Luminal flow amplifies stent-based drug deposition in arterial bifurcations von Kolachalama, Vijaya B, Levine, Evan G, Edelman, Elazer R

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Effect of spinal cord compression on local vascular blood flow and perfusion capacity von Alshareef, Mohammed, Krishna, Vibhor, Ferdous, Jahid, Alshareef, Ahmed, Kindy, Mark, Kolachalama, Vijaya B, Shazly, Tarek

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Comparing Cognitive Tests and Smartphone-Based Assessment in 2 US Community-Based Cohorts von De Anda-Duran, Ileana, Sunderaraman, Preeti, Searls, Edward, Moukaled, Shirine, Jin, Xuanyi, Popp, Zachary, Karjadi, Cody, Hwang, Phillip H, Ding, Huitong, Devine, Sherral, Shih, Ludy C, Low, Spencer, Lin, Honghuang, Kolachalama, Vijaya B, Bazzano, Lydia, Libon, David J, Au, Rhoda

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