Now showing items 1-12 of 12

    • A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images 

      Dov, David; Kovalsky, Shahar Z; Assaad, Serge; Cohen, Jonathan; Range, Danielle Elliott; Pendse, Avani A; Henao, Ricardo; ... (8 authors)
      We consider thyroid-malignancy prediction from ultra-high-resolution whole-slide cytopathology images. We propose a deep-learning-based algorithm that is inspired by the way a cytopathologist diagnoses the slides. The algorithm ...
    • A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2. 

      Woods, Christopher W; McClain, Micah T; Chen, Minhua; Zaas, Aimee K; Nicholson, Bradly P; Varkey, Jay; Veldman, Timothy; ... (18 authors) (PLoS One, 2013)
      There is great potential for host-based gene expression analysis to impact the early diagnosis of infectious diseases. In particular, the influenza pandemic of 2009 highlighted the challenges and limitations of traditional ...
    • An active learning approach for rapid characterization of endothelial cells in human tumors. 

      Padmanabhan, Raghav K; Somasundar, Vinay H; Griffith, Sandra D; Zhu, Jianliang; Samoyedny, Drew; Tan, Kay See; Hu, Jiahao; ... (17 authors) (PLoS One, 2014)
      Currently, no available pathological or molecular measures of tumor angiogenesis predict response to antiangiogenic therapies used in clinical practice. Recognizing that tumor endothelial cells (EC) and EC activation and ...
    • An integrated transcriptome and expressed variant analysis of sepsis survival and death. 

      Tsalik, Ephraim L; Langley, Raymond J; Dinwiddie, Darrell L; Miller, Neil A; Yoo, Byunggil; van Velkinburgh, Jennifer C; Smith, Laurie D; ... (24 authors) (Genome Med, 2014)
      BACKGROUND: Sepsis, a leading cause of morbidity and mortality, is not a homogeneous disease but rather a syndrome encompassing many heterogeneous pathophysiologies. Patient factors including genetics predispose to poor ...
    • Bayesian Gaussian Copula Factor Models for Mixed Data. 

      Murray, Jared S; Dunson, David B; Carin, Lawrence; Lucas, Joseph E (J Am Stat Assoc, 2013-06-01)
      Gaussian factor models have proven widely useful for parsimoniously characterizing dependence in multivariate data. There is a rich literature on their extension to mixed categorical and continuous variables, using latent ...
    • Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies. 

      Chen, Bo; Chen, Minhua; Paisley, John; Zaas, Aimee; Woods, Christopher; Ginsburg, Geoffrey S; Hero, Alfred; ... (10 authors) (BMC Bioinformatics, 2010-11-09)
      BACKGROUND: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors from the observed data. We consider such techniques ...
    • Coded aperture compressive temporal imaging. 

      Llull, Patrick; Liao, Xuejun; Yuan, Xin; Yang, Jianbo; Kittle, David; Carin, Lawrence; Sapiro, Guillermo; ... (8 authors) (Opt Express, 2013-05-06)
      We use mechanical translation of a coded aperture for code division multiple access compression of video. We discuss the compressed video's temporal resolution and present experimental results for reconstructions of > 10 ...
    • Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging. 

      Wisely, C Ellis; Wang, Dong; Henao, Ricardo; Grewal, Dilraj S; Thompson, Atalie C; Robbins, Cason B; Yoon, Stephen P; ... (13 authors) (The British journal of ophthalmology, 2020-11-26)
      BACKGROUND/AIMS:To develop a convolutional neural network (CNN) to detect symptomatic Alzheimer's disease (AD) using a combination of multimodal retinal images and patient data. METHODS:Colour maps of ganglion cell-inner ...
    • Host gene expression classifiers diagnose acute respiratory illness etiology. 

      Tsalik, Ephraim L; Henao, Ricardo; Nichols, Marshall; Burke, Thomas; Ko, Emily R; McClain, Micah T; Hudson, Lori L; ... (24 authors) (Sci Transl Med, 2016-01-20)
      Acute respiratory infections caused by bacterial or viral pathogens are among the most common reasons for seeking medical care. Despite improvements in pathogen-based diagnostics, most patients receive inappropriate antibiotics. ...
    • Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling 

      Carlson, David E; Vogelstein, Joshua T; Qisong Wu; Wenzhao Lian; Mingyuan Zhou; Stoetzner, Colin R; Kipke, Daryl; ... (10 authors) (IEEE Transactions on Biomedical Engineering, 2014-01-01)
      We propose a methodology for joint feature learning and clustering of multichannel extracellular electrophysiological data, across multiple recording periods for action potential detection and classification (sorting). Our ...
    • Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection. 

      Huang, Yongsheng; Zaas, Aimee K; Rao, Arvind; Dobigeon, Nicolas; Woolf, Peter J; Veldman, Timothy; Øien, N Christine; ... (16 authors) (PLoS Genet, 2011-08)
      Exposure to influenza viruses is necessary, but not sufficient, for healthy human hosts to develop symptomatic illness. The host response is an important determinant of disease progression. In order to delineate host molecular ...
    • Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images 

      Dov, David; Kovalsky, Shahar Z; Cohen, Jonathan; Range, Danielle Elliott; Henao, Ricardo; Carin, Lawrence
      We consider preoperative prediction of thyroid cancer based on ultra-high-resolution whole-slide cytopathology images. Inspired by how human experts perform diagnosis, our approach first identifies and classifies diagnostic ...