Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks by Péter Bándi, Maschenka Balkenhol, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

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PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning by Witali Aswolinskiy, Enrico Munari, Hugo M. Horlings, Lennart Mulder, Giuseppe Bogina, Joyce Sanders, Yat-Hee Liu, Alexandra W. van den Belt-Dusebout, Leslie Tessier, Maschenka Balkenhol, Michelle Stegeman, Jeffrey Hoven, Jelle Wesseling, Jeroen van der Laak, Esther H. Lips, Francesco Ciompi

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Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer by Caner Mercan, Maschenka Balkenhol, Roberto Salgado, Mark Sherman, Philippe Vielh, Willem Vreuls, António Polónia, Hugo M. Horlings, Wilko Weichert, Jodi M. Carter, Peter Bult, Matthias Christgen, Carsten Denkert, Koen van de Vijver, John-Melle Bokhorst, Jeroen van der Laak, Francesco Ciompi

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Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer by Roberto A. Leon-Ferre, Jodi M. Carter, David Zahrieh, Jason P. Sinnwell, Roberto Salgado, Vera J. Suman, David W. Hillman, Judy C. Boughey, Krishna R. Kalari, Fergus J. Couch, James N. Ingle, Maschenka Balkenhol, Francesco Ciompi, Jeroen van der Laak, Matthew P. Goetz

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