Christopher J. Sevinsky

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 6

Top Topics

Causal Networks

Fluorescence Microscopy

Biomedical Images

Top Venues

Medical Imaging: Digital Pathology

Proc. Natl. Acad. Sci. USA

Publications

Mark-Oliver Stehr, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky, Akos Vertes
Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data. CoRR (2019)
Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky
Transcriptional Response of SK-N-AS Cells to Methamidophos. CoRR (2019)
Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky
Transcriptional Response of SK-N-AS Cells to Methamidophos (Extended Abstract). CMSB (2019)
Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Hang Li, Peter Nemes, Lida Parvin, Sylwia Stopka, Sunil Hwang, Ziad J. Sahab, Linwen Zhang, Deborah I. Bunin, Merrill Knapp, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Sean R. Dinn, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky
Inferring Mechanism of Action of an Unknown Compound from Time Series Omics Data. CMSB (2018)
Aritra Chowdhury, Christopher J. Sevinsky, Alberto Santamaría-Pang, Bülent Yener
A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data. Medical Imaging: Digital Pathology (2017)
Aritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson
A machine learning approach to quantifying noise in medical images. Medical Imaging: Digital Pathology (2016)
Michael J. Gerdes, Christopher J. Sevinsky, Anup Sood, Sudeshna Adak, Musodiq O. Bello, Alexander Bordwell, Ali Can, Alex Corwin, Sean Dinn, Robert Filkins, Denise Hollman, Vidya Kamath, Sireesha Kaanumalle, Kevin B. Kenny, Melinda Larsen, Michael Lazare, Qing Li, Christina Lowes, Colin C. McCulloch, Elizabeth McDonough, Michael Montalto, Zhengyu Pang, Jens Rittscher, Alberto Santamaría-Pang, Brion D. Sarachan, Maximilian L. Seel, Antti Seppo, Kashan Shaikh, Yunxia Sui, Jingyu Zhang, Fiona Ginty
Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue. Proc. Natl. Acad. Sci. USA 110 (29) (2013)