A computational framework for disease grading using protein signatures. - Erwan Zerhouni; Bogdan Prisacari; Qing Zhong 002; Peter Wild; Maria Gabrani (ISBI, 2016)

Deciphering protein signatures using color, morphological, and topological analysis of immunohistochemically stained human tissues. - Erwan Zerhouni; Bogdan Prisacari; Qing Zhong 002; Peter Wild; Maria Gabrani (Digital Pathology, 2016)

Big Data Takes on Prostate Cancer. - Erwan Zerhouni; Bogdan Prisacari; Qing Zhong 002; Peter Wild; Maria Gabrani (ERCIM News, 2016)

Wide residual networks for mitosis detection. - Erwan Zerhouni; David Lanyi; Matheus P. Viana; Maria Gabrani (ISBI, 2017)

Disease grading of heterogeneous tissue using convolutional autoencoder. - Erwan Zerhouni; Bogdan Prisacari; Qing Zhong 002; Peter Wild; Maria Gabrani (ISBI, 2017)

Heterogeneity characterization of immunohistochemistry stained tissue using convolutional autoencoder. - Erwan Zerhouni; Bogdan Prisacari; Qing Zhong 002; Peter Wild; Maria Gabrani (Digital Pathology, 2017)

Computational Processing of Histological Images. - Erwan Zerhouni; Bogdan Prisacari; Maria Gabrani; Qing Zhong 002; Peter Wild (ERCIM News, 2017)

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; et al. (CoRR, 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; et al. (Medical Image Anal., 2019)