Dr. Jeroen A. W. M. van der Laak Profile

Dr. Jeroen A. W. M. van der Laak

Associate Professor at Radboud UMC

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 3 April 2024 Presentation + Paper

Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology

Khrystyna Faryna, Jeroen van der Laak, Geert Litjens

Proceedings Volume 12933, 1293304 (2024) https://doi.org/10.1117/12.3006572

KEYWORDS: Histopathology, Convolutional neural networks, Cancer detection, Scanners, Tumors, Pathology, Performance modeling

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SPIE Journal Paper | 30 November 2023 Open Access

Comparison of consecutive and restained sections for image registration in histopathology

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

JMI, Vol. 10, Issue 06, 067501, (November 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.6.067501

KEYWORDS: Image registration, Deformation, Image resolution, Tissues, Distance measurement, Computation time, Histopathology, Pathology, Image restoration, Visualization

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Proceedings Article | 17 February 2021 Presentation

Computational Pathology: What is the way forward?

Jeroen van der Laak

Proceedings Volume 11603, 1160303 (2021) https://doi.org/10.1117/12.2586357

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Proceedings Article | 15 February 2021 Presentation + Paper

Few-shot weakly supervised detection and retrieval in histopathology whole-slide images

Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak, Francesco Ciompi

Proceedings Volume 11603, 116030N (2021) https://doi.org/10.1117/12.2582132

KEYWORDS: Tissues, Colon, Breast, Pathology, Biopsy

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Proceedings Article | 15 February 2021 Presentation + Paper

Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images

Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak, Katrien Grunberg, Francesco Ciompi

Proceedings Volume 11603, 1160304 (2021) https://doi.org/10.1117/12.2581943

KEYWORDS: Image compression, Lung cancer, Image classification, Tumor growth modeling, Data modeling, Cancer, Machine learning, Databases, Convolutional neural networks, Computer programming

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Proceedings Article | 6 March 2018 Paper

Automated segmentation of epithelial tissue in prostatectomy slides using deep learning

Wouter Bulten, Christina Hulsbergen-van de Kaa, Jeroen van der Laak, Geert J. Litjens

Proceedings Volume 10581, 105810S (2018) https://doi.org/10.1117/12.2292872

KEYWORDS: Tissues, Cancer, Image segmentation, Network architectures, Tumors, Prostate cancer, Prostate, Diagnostics, Algorithm development, Artificial neural networks, Convolutional neural networks, Color image segmentation, Machine learning

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Proceedings Article | 6 March 2018 Paper

H and E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection

David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

Proceedings Volume 10581, 105810Z (2018) https://doi.org/10.1117/12.2293048

KEYWORDS: Machine learning, Pathology, Data modeling, Breast cancer, Convolutional neural networks

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Proceedings Article | 6 March 2018 Presentation + Paper

Automatic color unmixing of IHC stained whole slide images

D. Geijs, M. Intezar, J. A. W. van der Laak, G. J. Litjens

Proceedings Volume 10581, 105810L (2018) https://doi.org/10.1117/12.2293734

KEYWORDS: RGB color model, Deconvolution, Visualization, Tissues, Absorbance, Reconstruction algorithms, Scanners, Diagnostics, Image segmentation, Pathology

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Proceedings Article | 6 March 2018 Paper

Automatic segmentation of histopathological slides of renal tissue using deep learning

Thomas de Bel, Meyke Hermsen, Bart Smeets, Luuk Hilbrands, Jeroen van der Laak, Geert Litjens

Proceedings Volume 10581, 1058112 (2018) https://doi.org/10.1117/12.2293717

KEYWORDS: Tissues, Image segmentation, Network architectures, Kidney, Convolutional neural networks, Pathology

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SPIE Journal Paper | 14 December 2017

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images

Babak Ehteshami Bejnordi, Guido Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak

JMI, Vol. 4, Issue 04, 044504, (December 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.4.044504

KEYWORDS: Binary data, Breast, Tissues, Image classification, Convolutional neural networks, Classification systems, Cancer, Diagnostics, Breast cancer, RGB color model

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Proceedings Article | 23 March 2016 Paper

A generic nuclei detection method for histopathological breast images

Henning Kost, André Homeyer, Peter Bult, Maschenka Balkenhol, Jeroen van der Laak, Horst Hahn

Proceedings Volume 9791, 97911E (2016) https://doi.org/10.1117/12.2209613

KEYWORDS: Tissues, Breast, Image processing, Pathology, Image analysis, Deconvolution, Image classification, Image segmentation, Breast cancer, Visualization, RGB color model, Detection and tracking algorithms, Medical imaging

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Proceedings Article | 19 March 2015 Paper

Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens

G. Litjens, B. Ehteshami Bejnordi, N. Timofeeva, G. Swadi, I. Kovacs, C. Hulsbergen-van de Kaa, J. van der Laak

Proceedings Volume 9420, 94200B (2015) https://doi.org/10.1117/12.2081366

KEYWORDS: Cancer, Tissues, Biopsy, Prostate cancer, Computing systems, Prostate, RGB color model, Binary data, Biological research, Image segmentation

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Proceedings Article | 19 March 2015 Paper

Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging

Sara Reis, Bjoern Eiben, Thomy Mertzanidou, John Hipwell, Meyke Hermsen, Jeroen van der Laak, Sarah Pinder, Peter Bult, David Hawkes

Proceedings Volume 9420, 94200K (2015) https://doi.org/10.1117/12.2081909

KEYWORDS: Tissues, 3D image reconstruction, 3D image processing, 3D modeling, Image segmentation, Breast, Brain, Binary data, Medical imaging, Tolerancing

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Proceedings Article | 19 March 2015 Paper

A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images

Babak Bejnordi, Geert Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. van der Laak

Proceedings Volume 9420, 94200H (2015) https://doi.org/10.1117/12.2081768

KEYWORDS: Tissues, Image classification, Detection and tracking algorithms, Breast, Image analysis, Image processing, Visualization, Breast cancer, Image segmentation, Image processing algorithms and systems

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Proceedings Article | 20 March 2014 Paper

Quantitative analysis of stain variability in histology slides and an algorithm for standardization

Babak Ehteshami Bejnordi, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, Jeroen A. W. van der Laak

Proceedings Volume 9041, 904108 (2014) https://doi.org/10.1117/12.2043683

KEYWORDS: Tissues, RGB color model, Data modeling, Image segmentation, Image processing algorithms and systems, Expectation maximization algorithms, Quantitative analysis, Absorption, Pathology, Transform theory

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Showing 5 of 15 publications

Conference Committee Involvement (10)

Digital and Computational Pathology

19 February 2024 | San Diego, California, United States

Digital and Computational Pathology

20 February 2023 | San Diego, California, United States

Digital and Computational Pathology

20 February 2022 | San Diego, California, United States

Digital and Computational Pathology

15 February 2021 | Online Only, California, United States

Digital Pathology

19 February 2020 | Houston, Texas, United States

Showing 5 of 10 Conference Committees

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