Andrew H. Beck

According to our database, Andrew H. Beck authored at least 12 papers between 2012 and 2018.

Collaborative distances:

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

2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

CoRR, 2018

2017

Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images.

Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Deep learning assessment of tumor proliferation in breast cancer histological images.

Manan A. Shah, Dayong Wang, Christopher Rubadue, David Suster, Andrew H. Beck

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Safikhani <i>et al</i>. reply.

Zhaleh Safikhani, Nehme Hachem, Petr Smirnov, Mark Freeman, Anna Goldenberg, Nicolai J. Birkbak, Andrew H. Beck, Hugo J. W. L. Aerts, John Quackenbush, Benjamin Haibe-Kains

Nat., 2016

Deep Learning for Identifying Metastatic Breast Cancer.

Dayong Wang, Aditya Khosla, Rishab Gargeya, Humayun Irshad, Andrew H. Beck

CoRR, 2016

Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method.

Humayun Irshad, Eun-Yeong Oh, Daniel Schmolze, Liza M. Quintana, Laura Collins, Rulla M. Tamimi, Andrew H. Beck

CoRR, 2016

PharmacoGx: an R package for analysis of large pharmacogenomic datasets.

Petr Smirnov, Zhaleh Safikhani, Nehme Hachem, Dong Wang, Adrian She, Catharina Olsen, Mark Freeman, Heather Marie Selby, Deena M. A. Gendoo, Patrick Grossmann, Andrew H. Beck, Hugo J. W. L. Aerts, Mathieu Lupien, Anna Goldenberg, Benjamin Haibe-Kains

Bioinform., 2016

EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes.

Sheida Nabavi, Daniel Schmolze, Mayinuer Maitituoheti, Sadhika Malladi, Andrew H. Beck

Bioinform., 2016

2015

Earth mover's distance for differential analysis of heterogeneous genomics data.

Sheida Nabavi, Andrew H. Beck

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2013

Significance Analysis of Prognostic Signatures.

Andrew H. Beck, Nicholas W. Knoblauch, Marco M. Hefti, Jennifer Kaplan, Stuart J. Schnitt, Aedín C. Culhane, Markus S. Schröder, Thomas Risch, John Quackenbush, Benjamin Haibe-Kains

PLoS Comput. Biol., 2013

Inconsistency in large pharmacogenomic studies.

Benjamin Haibe-Kains, Nehme El-Hachem, Nicolai J. Birkbak, Andrew C. Jin, Andrew H. Beck, Hugo J. W. L. Aerts, John Quackenbush

Nat., 2013

2012

Three differentiation states risk-stratify bladder cancer into distinct subtypes.

Jens-Peter Volkmer, Debashis Sahoo, Robert K. Chin, Philip Levy Ho, Chad Tang, Antonina V. Kurtova, Stephen B. Willingham, Senthil K. Pazhanisamy, Humberto Contreras-Trujillo, Theresa A. Storm, Yair Lotan, Andrew H. Beck, Benjamin I. Chung, Ash A. Alizadeh, Guilherme Godoy, Seth P. Lerner, Matt van de Rijn, Linda D. Shortliffe, Irving L. Weissman, Keith S. Chan

Proc. Natl. Acad. Sci. USA, 2012