Jeroen van der Laak

According to our database, Jeroen van der Laak authored at least 64 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi

IEEE J. Biomed. Health Informatics, March, 2024

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

Khrystyna Faryna, Jeroen van der Laak, Geert Litjens

Comput. Biol. Medicine, March, 2024

The Latent Doctor Model for Modeling Inter-Observer Variability.

Jasper Linmans, Emiel Hoogeboom, Jeroen van der Laak, Geert Litjens

IEEE J. Biomed. Health Informatics, January, 2024

Diffusion models for out-of-distribution detection in digital pathology.

Jasper Linmans, Gabriel Raya, Jeroen van der Laak, Geert Litjens

Medical Image Anal., 2024

Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation.

Artur Jurgas, Marek Wodzinski, Marina D'Amato, Jeroen van der Laak, Manfredo Atzori, Henning Müller

CoRR, 2024

Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers.

Clément Grisi, Geert Litjens, Jeroen van der Laak

CoRR, 2024

Uncertainty-guided annotation enhances segmentation with the human-in-the-loop.

Nadieh Khalili, Joey Spronck, Francesco Ciompi, Jeroen van der Laak, Geert Litjens

CoRR, 2024

2023

Gigapixel end-to-end training using streaming and attention.

Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, Konnie M. Hebeda, Sofia Jarkman, Jeroen van der Laak, Geert Litjens

Medical Image Anal., August, 2023

Continual learning strategies for cancer-independent detection of lymph node metastases.

Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Michel Kok, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

Medical Image Anal., April, 2023

Predictive uncertainty estimation for out-of-distribution detection in digital pathology.

Jasper Linmans, Stefan Elfwing, Jeroen van der Laak, Geert Litjens

Medical Image Anal., 2023

Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images.

Clément Grisi, Geert Litjens, Jeroen van der Laak

CoRR, 2023

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi

CoRR, 2023

nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers.

Joey Spronck, Thijs Gelton, Leander van Eekelen, Joep Bogaerts, Leslie Tessier, Mart van Rijthoven, Lieke van der Woude, Michel van den Heuvel, Willemijn Theelen, Jeroen van der Laak, Francesco Ciompi

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.

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 Müller, Manfredo Atzori

npj Digit. Medicine, 2022

Domain adaptation strategies for cancer-independent detection of lymph node metastases.

Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

CoRR, 2022

2021

HyReCo - Hybrid re-stained and consecutive histological serial sections.

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

Dataset, December, 2021

Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels.

Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens

IEEE Trans. Medical Imaging, 2021

Editorial Computational Pathology.

Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot

IEEE J. Biomed. Health Informatics, 2021

Neural Image Compression for Gigapixel Histopathology Image Analysis.

David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

IEEE Trans. Pattern Anal. Mach. Intell., 2021

HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images.

Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi

Medical Image Anal., 2021

Residual cyclegan for robust domain transformation of histopathological tissue slides.

Thomas de Bel, John-Melle Bokhorst, Jeroen van der Laak, Geert Litjens

Medical Image Anal., 2021

Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.

Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori

Frontiers Comput. Sci., 2021

Automated risk classification of colon biopsies based on semantic segmentation of histopathology images.

John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi

CoRR, 2021

High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology.

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

CoRR, 2021

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 of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Computational Pathology: What is the way forward?

Jeroen A. W. M. van der Laak

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

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 of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Tailoring automated data augmentation to H&E-stained histopathology.

Khrystyna Faryna, Jeroen van der Laak, Geert Litjens

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer.

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, Jeroen van der Laak, Francesco Ciompi

CoRR, 2020

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists.

Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga, Américo Brilhante, Asli Çakir, Xavier Farré, Katerina Geronatsiou, Vincent Molinié, Guilherme Pereira, Paromita Roy, Günter Saile, Paulo Salles, Ewout Schaafsma, Joëlle Tschui, Anne-Marie Vos, Hester van Boven, Robert Vink, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens

CoRR, 2020

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning.

David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks.

Jasper Linmans, Jeroen van der Laak, Geert Litjens

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.

Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

IEEE Trans. Medical Imaging, 2019

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.

David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak

Medical Image Anal., 2019

Learning to detect lymphocytes in immunohistochemistry with deep learning.

Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine Manson, Mark Sherman, António Polónia, Jeremy Parry, Mustapha Abubakar, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

Medical Image Anal., 2019

Automated Gleason Grading of Prostate Biopsies using Deep Learning.

Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens

CoRR, 2019

Learning from sparsely annotated data for semantic segmentation in histopathology images.

John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology.

Thomas de Bel, Meyke Hermsen, Jesper Kers, Jeroen van der Laak, Geert Litjens

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.

David Tellez, Maschenka Balkenhol, Irene Otte-Höller, Rob van de Loo, Rob Vogels, Peter Bult, Carla Wauters, Willem Vreuls, Suzanne Mol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

IEEE Trans. Medical Imaging, 2018

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.

Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina A. Hulsbergen van de Kaa, Geert Litjens

CoRR, 2018

H&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 of the Medical Imaging 2018: Digital Pathology, 2018

Automatic color unmixing of IHC stained whole slide images.

Daan J. Geijs, Milad Intezar, Jeroen A. W. M. van der Laak, Geert J. S. Litjens

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Automated segmentation of epithelial tissue in prostatectomy slides using deep learning.

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

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

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 of the Medical Imaging 2018: Digital Pathology, 2018

Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning.

John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection.

Thomas de Bel, Meyke Hermsen, Geert Litjens, Jeroen van der Laak

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Stain normalization of histopathology images using generative adversarial networks.

Farhad Ghazvinian Zanjani, Svitlana Zinger, Babak Ehteshami Bejnordi, Jeroen A. W. M. van der Laak, Peter H. N. de With

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

A survey on deep learning in medical image analysis.

Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez

Medical Image Anal., 2017

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

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

CoRR, 2017

Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.

Stefan C. A. Steens, Elise M. Bekers, Willem L. J. Weijs, Geert J. S. Litjens, Andor Veltien, Arie Maat, Guido B. van den Broek, Jeroen A. W. M. van der Laak, Jurgen J. Fütterer, Christina A. Hulsbergen van de Kaa, Matthias A. W. Merkx, Robert P. Takes

Int. J. Comput. Assist. Radiol. Surg., 2017

The importance of stain normalization in colorectal tissue classification with convolutional networks.

Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images.

Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Comparison of different methods for tissue segmentation in histopathological whole-slide images.

Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Stain Specific Standardization of Whole-Slide Histopathological Images.

Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Höller, André Homeyer, Nico Karssemeijer, Jeroen A. W. M. van der Laak

IEEE Trans. Medical Imaging, 2016

Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images.

Babak Ehteshami Bejnordi, Maschenka Balkenhol, Geert Litjens, Roland Holland, Peter Bult, Nico Karssemeijer, Jeroen A. W. M. van der Laak

IEEE Trans. Medical Imaging, 2016

A New Fiji-Based Algorithm That Systematically Quantifies Nine Synaptic Parameters Provides Insights into <i>Drosophila</i> NMJ Morphometry.

Bonnie Nijhof, Anna Castells-Nobau, Louis Wolf, Jolanda M. Scheffer-de Gooyert, Ignacio Monedero, Laura Torroja, Lluís Coromina, Jeroen A. W. M. van der Laak, Annette Schenck

PLoS Comput. Biol., 2016

A generic nuclei detection method for histopathological breast images.

Henning Kost, André Homeyer, Peter Bult, Maschenka C. A. Balkenhol, Jeroen A. W. M. van der Laak, Horst K. Hahn

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology.

Thomy Mertzanidou, John H. Hipwell, Sara Reis, Babak Ehteshami Bejnordi, Meyke Hermsen, Mehmet Dalmis, Suzan Vreemann, Bram Platel, Jeroen van der Laak, Nico Karssemeijer, Ritse Mann, Peter Bult, David J. Hawkes

Proceedings of the Breast Imaging, 2016

Variational Weakly Supervised Gaussian Processes.

Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht

Proceedings of the British Machine Vision Conference 2016, 2016

2015

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

Sara Reis, Björn Eiben, Thomy Mertzanidou, John H. Hipwell, Meyke Hermsen, Jeroen van der Laak, Sarah E. Pinder, Peter Bult, David J. Hawkes

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

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

Geert Litjens, Babak Ehteshami Bejnordi, Nadya Timofeeva, G. Swadi, Iringo Kovacs, Christina A. Hulsbergen van de Kaa, Jeroen van der Laak

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

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

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

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

2014

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. M. van der Laak

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging.

Thomy Mertzanidou, John H. Hipwell, Mehmet Dalmis, Bram Platel, Jeroen van der Laak, Ritse Mann, Nico Karssemeijer, Peter Bult, David J. Hawkes

Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014