Shannon P. Quinn

发表

Automated identification of abnormal respiratory ciliary motion in nasal biopsies

S. Chennubhotla, C. Chennubhotla, R. Francis, 2015, Science Translational Medicine.

REPRODUCIBILITY IN A.I. FOR BIOMEDICAL RESEARCH: AN APPLICATION TO PARKINSON’S DISEASE by CHRISTIAN LEE MCDANIEL

Frederick W. Maier, Tianming Liu, Suzanne Barbour, 2019 .

Discovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance Toolkit

Laura L. Pullum, Chad A. Steed, Arvind Ramanathan, 2015, Front. Public Health.

COMPUTATIONAL METHODS FOR CATEGORIZING UNSTRUCTURED DATA RELATED TO PEDIATRIC APPENDICITIS WITHIN ELECTRONIC MEDICAL RECORDS by BRITTANY NORMAN

W. Potter, Shannon P. Quinn, Khaled Rasheed, 2017 .

OrNet - a Python Toolkit to Model the Diffuse Structure of Organelles as Social Networks

Chakra Chennubhotla, Mojtaba Sedigh Fazli, Shannon Quinn, 2020, J. Open Source Softw..

Ca2+ entry at the plasma membrane and uptake by acidic stores is regulated by the activity of the V‐H+‐ATPase in Toxoplasma gondii

Mojtaba Sedigh Fazli, Shannon P. Quinn, R. Docampo, 2021, Molecular microbiology.

A Distributed Computing Platform for fMRI Big Data Analytics

Jieping Ye, Tianming Liu, Xiang Li, 2019, IEEE Transactions on Big Data.

Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss pdf

Roi Ceren, Shannon Quinn, Glen Raines, 2019, ArXiv.

Open Source Big Data Analytics Frameworks Written in Scala

John A. Miller, Shannon Quinn, Casey Bowman, 2016, 2016 IEEE International Congress on Big Data (BigData Congress).

Novel use of differential image velocity invariants to categorize ciliary motion defects

C. Chennubhotla, R. Francis, C. Lo, 2011, Proceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine.

Mining Pre-Exposure Prophylaxis Trends in Social Media

Patrick Breen, Shannon Quinn, Jane Kelly, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Help me find a job: A graph-based approach for job recommendation at scale

Wlodek Zadrozny, Walid Shalaby, Khalifeh AlJadda, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Dynamic Social Network Modeling of Diffuse Subcellular Morphologies

Mojtaba Sedigh Fazli, Shannon Quinn, S. Chakra Chennubhotla, 2018, SciPy.

P2Y6 Receptor Antagonist MRS2578 Inhibits Neutrophil Activation and Aggregated Neutrophil Extracellular Trap Formation Induced by Gout-Associated Monosodium Urate Crystals

J. Sokolove, Shannon P. Quinn, B. Reaves, 2017, The Journal of Immunology.

Generative spatiotemporal modeling of neutrophil behavior

Shannon Quinn, Narita Pandhe, Balazs Rada, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Stacked Neural Networks for end-to-end ciliary motion analysis pdf

Charles Lu, M. Marx, M. Zahid, 2018, ArXiv.

ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics

Arvind Ramanathan, Chakra S Chennubhotla, Laura L Pullum, 2015, BMC Bioinformatics.

Integrating Heterogeneous Healthcare Datasets and Visual Analytics for Disease Bio-surveillance and Dynamics

Laura L. Pullum, Chad A. Steed, Arvind Ramanathan, 2013 .

Oak Ridge Bio-surveillance Toolkit (ORBiT): Integrating Big-Data Analytics with Visual Analysis for Public Health Dynamics

Laura L. Pullum, Chad A. Steed, Arvind Ramanathan, 2013 .

Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease

Shannon Quinn, Christian McDaniel, Shannon P. Quinn, 2019, SciPy.

Template-guided Functional Network Identification via Supervised Dictionary Learning

Yu Zhao, Jieping Ye, Tianming Liu, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics

Jieping Ye, Xiang Li, Tianming Liu, 2017, 2016 IEEE International Conference on Big Data (Big Data).

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis

Jieping Ye, Ian Davidson, Xiang Li, 2016, KDD.

Help me find a job: A graph-based approach for job recommendation at scale

M. Korayem, Wlodek Zadrozny, Shannon P. Quinn, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Parkinson's Classification and Feature Extraction from Diffusion Tensor Images

Shannon Quinn, Rajeswari Sivakumar, Shannon P. Quinn, 2019, SciPy.

Unsupervised discovery of toxoplasma gondii motility phenotypes

Mojtaba Sedigh Fazli, Shannon Quinn, Stephen Andrew Vella, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology

Mojtaba Sedigh Fazli, Shannon Quinn, Marcus Hill, 2020, SciPy.

Statistical Inference for Big Data Problems in Molecular Biophysics

Arvind Ramanathan, Virginia M. Burger, Shannon Quinn, 2012 .

Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories

Mojtaba Sedigh Fazli, Shannon Quinn, Stephen Andrew Vella, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Developing a Start-to-Finish Pipeline for Accelerometer-Based Activity Recognition Using Long Short-Term Memory Recurrent Neural Networks

Christian McDaniel, Shannon Quinn, Shannon P. Quinn, 2018, SciPy.