Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study by Bulten, Wouter, Pinckaers, Hans, van Boven, Hester, Vink, Robert, de Bel, Thomas, van Ginneken, Bram, van der Laak, Jeroen, Hulsbergen-van de Kaa, Christina, Litjens, Geert

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

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Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images by Pinckaers, Hans, van Ginneken, Bram, Litjens, Geert

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Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels by Pinckaers, Hans, Bulten, Wouter, van der Laak, Jeroen, Litjens, Geert

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Learning to detect lymphocytes in immunohistochemistry with deep learning by Swiderska-Chadaj, Zaneta, Pinckaers, Hans, van Rijthoven, Mart, Balkenhol, Maschenka, Melnikova, Margarita, Geessink, Oscar, Manson, Quirine, Sherman, Mark, Polonia, Antonio, Parry, Jeremy, Abubakar, Mustapha, Litjens, Geert, van der Laak, Jeroen, Ciompi, Francesco

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Gigapixel end-to-end training using streaming and attention by Dooper, Stephan, Pinckaers, Hans, Aswolinskiy, Witali, Hebeda, Konnie, Jarkman, Sofia, van der Laak, Jeroen, Litjens, Geert

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Deep learning assisted mitotic counting for breast cancer by Balkenhol, Maschenka C.A., Tellez, David, Vreuls, Willem, Clahsen, Pieter C., Pinckaers, Hans, Ciompi, Francesco, Bult, Peter, van der Laak, Jeroen A.W.M.

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Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variation by van Eekelen, Leander, Pinckaers, Hans, van den Brand, Michiel, Hebeda, Konnie M., Litjens, Geert

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Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision by Holste, Gregory, van der Wal, Douwe, Pinckaers, Hans, Yamashita, Rikiya, Mitani, Akinori, Esteva, Andre

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Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies—Current Status and Next Steps by Kartasalo, Kimmo, Bulten, Wouter, Delahunt, Brett, Chen, Po-Hsuan Cameron, Pinckaers, Hans, Olsson, Henrik, Ji, Xiaoyi, Mulliqi, Nita, Samaratunga, Hemamali, Tsuzuki, Toyonori, Lindberg, Johan, Rantalainen, Mattias, Wählby, Carolina, Litjens, Geert, Ruusuvuori, Pekka, Egevad, Lars, Eklund, Martin

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Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands by Pinckaers, Hans, Litjens, Geert

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Streaming convolutional neural networks for end-to-end learning with multi-megapixel images by Pinckaers, Hans, Bram van Ginneken, Litjens, Geert

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Training convolutional neural networks with megapixel images by Pinckaers, Hans, Litjens, Geert

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Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision by Holste, Gregory, Douwe van der Wal, Pinckaers, Hans, Yamashita, Rikiya, Mitani, Akinori, Esteva, Andre

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Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels by Pinckaers, Hans, Bulten, Wouter, Jeroen van der Laak, Litjens, Geert

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Automated Gleason Grading of Prostate Biopsies using Deep Learning by Bulten, Wouter, Pinckaers, Hans, Hester van Boven, Vink, Robert, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina Hulsbergen-van de Kaa, Litjens, Geert

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Endovascular treatment versus no endovascular treatment after 6–24 h in patients with ischaemic stroke and collateral flow on CT angiography (MR CLEAN-LATE) in the Netherlands: a m... by Olthuis, Susanne G H, Pirson, F Anne V, Pinckaers, Florentina M E, Hinsenveld, Wouter H, Nieboer, Daan, Ceulemans, Angelique, Knapen, Robrecht R M M, Robbe, M M Quirien, Berkhemer, Olvert A, van Walderveen, Marianne A A, Lycklama à Nijeholt, Geert J, Uyttenboogaart, Maarten, Schonewille, Wouter J, van der Sluijs, P Matthijs, Wolff, Lennard, van Voorst, Henk, Postma, Alida A, Roosendaal, Stefan D, van der Hoorn, Anouk, Emmer, Bart J, Krietemeijer, Menno G M, van Doormaal, Pieter-Jan, Roozenbeek, Bob, Goldhoorn, Robert-Jan B, Staals, Julie, de Ridder, Inger R, van der Leij, Christiaan, Coutinho, Jonathan M, van der Worp, H Bart, Lo, Rob T H, Bokkers, Reinoud P H, van Dijk, Ewoud I, Boogaarts, Hieronymus D, Wermer, Marieke J H, van Es, Adriaan C G M, van Tuijl, Julia H, Kortman, Hans G J, Gons, Rob A R, Yo, Lonneke S F, Vos, Jan-Albert, de Laat, Karlijn F, van Dijk, Lukas C, van den Wijngaard, Ido R, Hofmeijer, Jeannette, Martens, Jasper M, Brouwers, Paul J A M, Bulut, Tomas, Remmers, Michel J M, de Jong, Thijs E A M, den Hertog, Heleen M, van Hasselt, Boudewijn A A M, Rozeman, Anouk D, Elgersma, Otto E H, van der Veen, Bas, Sudiono, Davy R, Lingsma, Hester F, Roos, Yvo B W E M, Majoie, Charles B L M, van der Lugt, Aad, Dippel, Diederik W J, van Zwam, Wim H, van Oostenbrugge, Robert J

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Collateral-based selection for endovascular treatment of acute ischaemic stroke in the late window (MR CLEAN-LATE): 2-year follow-up of a phase 3, multicentre, open-label, randomis... by Huijberts, Ilse, Pinckaers, Florentina M E, van Kuijk, Sander M J, Roos, Yvo B W E M, Majoie, Charles B L M, Dippel, Diederik W J, van Zwam, Wim H, Olthuis, Susanne, Pirson, Anne, Staals, Julie, Dippel, Diederik, van der Lugt, Aad, van Es, Adriaan, Roozenbeek, Bob, van Doormaal, Pieter-Jan, Roos, Yvo, Coutinho, Jonathan, Emmer, Bart, van der Worp, Bart, Lo, Rob, van Walderveen, Marianne, van Dijk, Ewoud, Jenniskens, Sjoerd, Boogaarts, Hieronymus, Uyttenboogaart, Maarten, Bokkers, Reinoud, Keizer, Koos, Yo, Lonneke, van Hasselt, Boudewijn, Schonewille, Wouter, Vos, Jan-Albert, Boukrab, Issam, Hofmeijer, Jeannette, Martens, Jasper, van den Wijngaard, Ido, de Laat, Karlijn, Remmers, Michel, Rozeman, Anouk, Mattle, Heinrich, van Kuijk, Sander, Nieboer, Daan, Lingsma, Hester, van Nuland, Rick, Roosendaal, Stefan, Krietemeijer, Menno, Postma, Alida, Hammer, Sebastiaan, Meijer, Anton, van der Hoorn, Anouk, Yoo, Albert, Gerrits, Dick, Jansen, Ben, Truijman, Martine, Manschot, Sanne, Berkhemer, Olvert, Wolff, Lennard, Su, Jiahang, Tolhuisen, Manon, ten Cate, Hugo, de Maat, Moniek, Donse-Donkel, Samantha, van Beusekom, Heleen, Taha, Aladdin, Treurniet, Kilian, LeCouffe, Natalie, de Ridder, Inger, Pinckaers, Florentina, Ceulemans, Angelique, Knapen, Robrecht, Robbe, Quirien, Sondag, Lotte, Kappelhof, Manon, Reinink, Rik, Uniken Venema, Simone, van Meenen, Laura, Collette, Sabine, van der Steen, Wouter, Hoving, Jan, Verheesen, Sabrina, El Ghannouti, Naziha, Sprengers, Rita, van Ahee, Ayla, Pellikaan, Wilma, Drabbe, Yvonne, Sandiman, Michelle, Kraus, Karin, Bos-Verheij, Erna, Santegoets, Ester, Slotboom, Annemarie, Ponjee, Eva, Eilander, Rieke, Lodico, Jasmijn, de Jong, Marieke, van der Minne, Friedus, Cleophas, Eefje, Muskens, Ernst, Nijst, Amy, Martens, Yvonne, Slotboom, Miranda, Jacobs, Bart

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