Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments by Daan Schouten, Jeroen van der Laak, Bram van Ginneken, Geert Litjens

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Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks by Lilija Aprupe, Geert Litjens, Titus J. Brinker, Jeroen van der Laak, Niels Grabe

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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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Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images by Niccolò Marini, Niccolò Marini, Sebastian Otálora, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Henning Müller, Manfredo Atzori, Manfredo Atzori

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Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection by Sofia Jarkman, Micael Karlberg, Milda Pocevičiūtė, Anna Bodén, Péter Bándi, Geert Litjens, Claes Lundström, Darren Treanor, Jeroen van der Laak

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Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images by John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi

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Predicting biochemical recurrence of prostate cancer with artificial intelligence by Hans Pinckaers, Jolique van Ipenburg, Jonathan Melamed, Angelo De Marzo, Elizabeth A. Platz, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

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Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors by Mart van Rijthoven, Simon Obahor, Fabio Pagliarulo, Maries van den Broek, Peter Schraml, Holger Moch, Jeroen van der Laak, Francesco Ciompi, Karina Silina

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Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer by John-Melle Bokhorst, Iris D. Nagtegaal, Inti Zlobec, Heather Dawson, Kieran Sheahan, Femke Simmer, Richard Kirsch, Michael Vieth, Alessandro Lugli, Jeroen van der Laak, Francesco Ciompi

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Automated Deep Learning-Based Classification of Wilms Tumor Histopathology by Ananda van der Kamp, Thomas de Bel, Ludo van Alst, Jikke Rutgers, Marry M. van den Heuvel-Eibrink, Annelies M. C. Mavinkurve-Groothuis, Jeroen van der Laak, Ronald R. de Krijger

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Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments by Alton B. Farris, Mariam P. Alexander, Ulysses G. J. Balis, Laura Barisoni, Peter Boor, Peter Boor, Roman D. Bülow, Lynn D. Cornell, Anthony J. Demetris, Evan Farkash, Meyke Hermsen, Julien Hogan, Julien Hogan, Renate Kain, Jesper Kers, Jesper Kers, Jun Kong, Jun Kong, Richard M. Levenson, Alexandre Loupy, Maarten Naesens, Pinaki Sarder, John E. Tomaszewski, Jeroen van der Laak, Jeroen van der Laak, Dominique van Midden, Yukako Yagi, Kim Solez

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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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Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations by Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Muller, Manfredo Atzori

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Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis by Laura Miesen, Péter Bándi, Brigith Willemsen, Fieke Mooren, Thiago Strieder, Eva Boldrini, Vedran Drenic, Jennifer Eymael, Roy Wetzels, Johannes Lotz, Nick Weiss, Eric Steenbergen, Toin H. van Kuppevelt, Merijn van Erp, Jeroen van der Laak, Nicole Endlich, Marcus J. Moeller, Jack F. M. Wetzels, Jitske Jansen, Bart Smeets

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Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images by Leander van Eekelen, Joey Spronck, Monika Looijen-Salamon, Shoko Vos, Enrico Munari, Ilaria Girolami, Albino Eccher, Balazs Acs, Ceren Boyaci, Gabriel Silva de Souza, Muradije Demirel-Andishmand, Luca Dulce Meesters, Daan Zegers, Lieke van der Woude, Willemijn Theelen, Michel van den Heuvel, Katrien Grünberg, Bram van Ginneken, Jeroen van der Laak, Francesco Ciompi

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Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence by Joshua Ogony, Thomas de Bel, Derek C. Radisky, Jennifer Kachergus, E. Aubrey Thompson, Amy C. Degnim, Kathryn J. Ruddy, Tracy Hilton, Melody Stallings-Mann, Celine Vachon, Tanya L. Hoskin, Michael G. Heckman, Robert A. Vierkant, Launia J. White, Raymond M. Moore, Jodi Carter, Matthew Jensen, Laura Pacheco-Spann, Jill E. Henry, Anna Maria Storniolo, Stacey J. Winham, Jeroen van der Laak, Mark E. Sherman

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Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decadeResearch in context by M. Alvaro Berbís, David S. McClintock, Andrey Bychkov, Jeroen Van der Laak, Liron Pantanowitz, Jochen K. Lennerz, Jerome Y. Cheng, Brett Delahunt, Lars Egevad, Catarina Eloy, Alton B. Farris, III, Filippo Fraggetta, Raimundo García del Moral, Douglas J. Hartman, Markus D. Herrmann, Eva Hollemans, Kenneth A. Iczkowski, Aly Karsan, Mark Kriegsmann, Mohamed E. Salama, John H. Sinard, J. Mark Tuthill, Bethany Williams, César Casado-Sánchez, Víctor Sánchez-Turrión, Antonio Luna, José Aneiros-Fernández, Jeanne Shen

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The promise of digital healthcare technologies by Andy Wai Kan Yeung, Andy Wai Kan Yeung, Ali Torkamani, Atul J. Butte, Atul J. Butte, Benjamin S. Glicksberg, Benjamin S. Glicksberg, Björn Schuller, Björn Schuller, Blanca Rodriguez, Daniel S. W. Ting, Daniel S. W. Ting, David Bates, Eva Schaden, Eva Schaden, Hanchuan Peng, Harald Willschke, Harald Willschke, Jeroen van der Laak, Josip Car, Josip Car, Kazem Rahimi, Leo Anthony Celi, Leo Anthony Celi, Leo Anthony Celi, Maciej Banach, Maciej Banach, Maria Kletecka-Pulker, Maria Kletecka-Pulker, Oliver Kimberger, Oliver Kimberger, Roland Eils, Sheikh Mohammed Shariful Islam, Stephen T. Wong, Stephen T. Wong, Tien Yin Wong, Tien Yin Wong, Tien Yin Wong, Wei Gao, Søren Brunak, Atanas G. Atanasov, Atanas G. Atanasov

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