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)

Detection of acini in histopathology slides: towards automated prediction of breast cancer risk. - Suzanne C. Wetstein; Allison M. Onken; Gabrielle M. Baker; Michael E. Pyle; Josien P. W. Pluim; Rulla M. Tamimi; Yujing J. Heng; Mitko Veta (Digital Pathology, 2019)

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. - Suzanne C. Wetstein; Allison M. Onken; Christina Luffman; Gabrielle M. Baker; Michael E. Pyle; Kevin H. Kensler; Ying Liu; Bart Bakker; Ruud Vlutters; Marinus B. van Leeuwen; Laura C. Collins; Stuart J. Schnitt; et al. (CoRR, 2019)

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)

Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. - Suzanne C. Wetstein; Nikolas Stathonikos; Josien P. W. Pluim; Yujing J. Heng; Natalie D. ter Hoeve; Celien P. H. Vreuls; Paul J. van Diest; Mitko Veta (CoRR, 2020)