Christopher Sevinsky

According to our database, Christopher Sevinsky authored at least 10 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Transcriptional Response of SK-N-AS Cells to Methamidophos.

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

CoRR, 2019

Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data.

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

CoRR, 2019

Transcriptional Response of SK-N-AS Cells to Methamidophos (Extended Abstract).

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

Proceedings of the Computational Methods in Systems Biology, 2019

2018

Inferring Mechanism of Action of an Unknown Compound from Time Series Omics Data.

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

Proceedings of the Computational Methods in Systems Biology, 2018

2017

A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data.

Aritra Chowdhury, Christopher J. Sevinsky, Alberto Santamaría-Pang, Bülent Yener

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Robust single cell quantification of immune cell subtypes in histological samples.

Alberto Santamaría-Pang, Raghav K. Padmanabhan, Anup Sood, Michael J. Gerdes, Christopher Sevinsky, Qing Li, Nicole LaPlante, Fiona Ginty

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

A machine learning approach to quantifying noise in medical images.

Aritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Multi-channel algorithm for segmentation of tumor blood vessels using multiplexed image data.

Yousef Al-Kofahi, Christopher Sevinsky, Alberto Santamaría-Pang, Fiona Ginty, Anup Sood, Qing Li

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2013

Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue.

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

Proc. Natl. Acad. Sci. USA, 2013

2010

Multiplexed Analysis of Proteins in Tissue Using Multispectral Fluorescence Imaging.

Eugene Barash, Sean Dinn, Christopher Sevinsky, Fiona Ginty

IEEE Trans. Medical Imaging, 2010