| Automated image analysis for high-content screening and analysis A Shariff, J Kangas, LP Coelho, S Quinn, RF Murphy Journal of biomolecular screening 15 (7), 726-734, 2010 | 146 | 2010 |
| P2Y6 receptor antagonist MRS2578 inhibits neutrophil activation and aggregated neutrophil extracellular trap formation induced by gout-associated monosodium urate crystals P Sil, CP Hayes, BJ Reaves, P Breen, S Quinn, J Sokolove, B Rada The Journal of Immunology 198 (1), 428-442, 2017 | 54 | 2017 |
| Help me find a job: A graph-based approach for job recommendation at scale W Shalaby, BE AlAila, M Korayem, L Pournajaf, K AlJadda, S Quinn, ... 2017 IEEE international conference on big data (big data), 1544-1553, 2017 | 53 | 2017 |
| Automated identification of abnormal respiratory ciliary motion in nasal biopsies SP Quinn, MJ Zahid, JR Durkin, RJ Francis, CW Lo, SC Chennubhotla Science translational medicine 7 (299), 299ra124-299ra124, 2015 | 44 | 2015 |
| Samsara: Declarative machine learning on distributed dataflow systems S Schelter, A Palumbo, S Quinn, S Marthi, A Musselman NIPS Workshop MLSystems, 2016 | 42 | 2016 |
| Principles of bioimage informatics: focus on machine learning of cell patterns LP Coelho, E Glory-Afshar, J Kangas, S Quinn, A Shariff, RF Murphy Linking Literature, Information, and Knowledge for Biology, 8-18, 2010 | 30 | 2010 |
| Open source big data analytics frameworks written in scala JA Miller, C Bowman, VG Harish, S Quinn 2016 IEEE International Congress on Big Data (BigData Congress), 389-393, 2016 | 24 | 2016 |
| Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis X Li, M Makkie, B Lin, MS Fazli, I Davidson, J Ye, T Liu, S Quinn ACM SIGKDD, 2016 | 21 | 2016 |
| Apache Mahout: Machine Learning on Distributed Dataflow Systems. R Anil, G Çapan, I Drost-Fromm, T Dunning, E Friedman, T Grant, S Quinn, ... J. Mach. Learn. Res. 21 (127), 1-6, 2020 | 20 | 2020 |
| A distributed computing platform for fMRI big data analytics M Makkie, X Li, S Quinn, B Lin, J Ye, G Mon, T Liu IEEE transactions on big data 5 (2), 109-119, 2018 | 15 | 2018 |
| Integrating heterogeneous healthcare datasets and visual analytics for disease bio-surveillance and dynamics A Ramanathan, LL Pullum, CA Steed, SP Quinn, CS Chennubhotla, ... 3rd IEEE Workshop on Visual Text Analytics, 2013 | 15 | 2013 |
| Mining pre-exposure prophylaxis trends in social media P Breen, J Kelly, T Heckman, S Quinn 2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016 | 11 | 2016 |
| Computational motility tracking of calcium dynamics in toxoplasma gondii MS Fazli, SA Vella, SNJ Moreno, S Quinn arXiv preprint arXiv:1708.01871, 2017 | 10 | 2017 |
| ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics A Ramanathan, LL Pullum, TC Hobson, CA Steed, SP Quinn, ... BMC bioinformatics 16 (17), 1-12, 2015 | 10 | 2015 |
| Statistical inference for big data problems in molecular biophysics A Ramanathan, A Savol, V Burger, S Quinn, PK Agarwal, C Chennubhotla Neural Information Processing Systems: Workshop on Big Learning, 2012 | 8 | 2012 |
| Novel use of differential image velocity invariants to categorize ciliary motion defects S Quinn, R Francis, C Lo, C Chennubhotla Proceedings of the 2011 Biomedical Sciences and Engineering Conference …, 2011 | 8 | 2011 |
| Discovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance Toolkit A Ramanathan, LL Pullum, TC Hobson, CG Stahl, CA Steed, SP Quinn, ... Frontiers in public health 3, 182, 2015 | 6 | 2015 |
| Oak ridge bio-surveillance toolkit A Ramanathan, LL Pullum, CA Steed, S Quinn, CS Chennubhotla IEEE VAST Workshop on Public Health’s Wicked Problems: Can InfoVis Save Lives, 2013 | 6 | 2013 |
| Lightweight and scalable particle tracking and motion clustering of 3D cell trajectories MS Fazli, RV Stadler, BE Alaila, SA Vella, SNJ Moreno, GE Ward, S Quinn 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 5 | 2019 |
| Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson’s Disease C McDaniel, S Quinn Proceedings of the Python in Science Conference, 42-49, 2019 | 5 | 2019 |
S. Chakra ChennubhotlaAssociate Professor of Computational and Systems Biology, University of PittsburghVerified email at pitt.edu
