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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

Abels, Esther ; Pantanowitz, Liron ; Aeffner, Famke ; Zarella, Mark D ; Laak, Jeroen ; Bui, Marilyn M ; Vemuri, Venkata NP ; Parwani, Anil V ; Gibbs, Jeff ; Agosto‐Arroyo, Emmanuel ; Beck, Andrew H ; Kozlowski, Cleopatra

The Journal of pathology, 2019-11, Vol.249 (3), p.286-294 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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2
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology
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Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology

Faryna, Khrystyna ; van der Laak, Jeroen ; Litjens, Geert

Computers in biology and medicine, 2024-03, Vol.170, p.108018-108018, Article 108018 [Periódico revisado por pares]

United States: Elsevier Ltd

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3
Artificial intelligence applied to breast pathology
Artificial intelligence applied to breast pathology
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Artificial intelligence applied to breast pathology

Yousif, Mustafa ; van Diest, Paul J. ; Laurinavicius, Arvydas ; Rimm, David ; van der Laak, Jeroen ; Madabhushi, Anant ; Schnitt, Stuart ; Pantanowitz, Liron

Virchows Archiv : an international journal of pathology, 2022, Vol.480 (1), p.191-209 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
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Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection

Jarkman, Sofia ; Karlberg, Micael ; Pocevičiūtė, Milda ; Bodén, Anna ; Bándi, Péter ; Litjens, Geert ; Lundström, Claes ; Treanor, Darren ; van der Laak, Jeroen

Cancers, 2022-11, Vol.14 (21), p.5424 [Periódico revisado por pares]

Basel: MDPI AG

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5
Learning to detect lymphocytes in immunohistochemistry with deep learning
Learning to detect lymphocytes in immunohistochemistry with deep learning
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Learning to detect lymphocytes in immunohistochemistry with deep learning

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

Medical image analysis, 2019-12, Vol.58, p.101547-101547, Article 101547 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Comparison of consecutive and restained sections for image registration in histopathology
Comparison of consecutive and restained sections for image registration in histopathology
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Comparison of consecutive and restained sections for image registration in histopathology

Lotz, Johannes ; Weiss, Nick ; van der Laak, Jeroen ; Heldmann, Stefan

Journal of medical imaging (Bellingham, Wash.), 2023-11, Vol.10 (6), p.067501-067501 [Periódico revisado por pares]

United States

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7
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
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Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

Berbís, M. Alvaro ; McClintock, David S. ; Bychkov, Andrey ; Van der Laak, Jeroen ; Pantanowitz, Liron ; Lennerz, Jochen K. ; Cheng, Jerome Y. ; Delahunt, Brett ; Egevad, Lars ; Eloy, Catarina ; Farris, Alton B. ; Fraggetta, Filippo ; García del Moral, Raimundo ; Hartman, Douglas J. ; Herrmann, Markus D. ; Hollemans, Eva ; Iczkowski, Kenneth A. ; Karsan, Aly ; Kriegsmann, Mark ; Salama, Mohamed E. ; Sinard, John H. ; Tuthill, J. Mark ; Williams, Bethany ; Casado-Sánchez, César ; Sánchez-Turrión, Víctor ; Luna, Antonio ; Aneiros-Fernández, José ; Shen, Jeanne

EBioMedicine, 2023-02, Vol.88, p.104427-104427, Article 104427 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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