Jeroen van der Laak

70 papers A 1Journal 46Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer. CoRR Clément Grisi, Khrystyna Faryna, Nefise Uysal, Vittorio Agosti, Enrico Munari, Solène-Florence Kammerer-Jacquet, Paulo Guilherme de Oliveira Salles, Yuri Tolkach, Reinhard Büttner, Sofiya Semko, Maksym Pikul, Axel Heidenreich, Jeroen van der Laak, Geert Litjens
2026	J	`jnl`	Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language. CoRR Michelle Stegeman, Lena Philipp, Fennie van der Graaf, Marina D'Amato, Clément Grisi, Luc Builtjes, Joeran S. Bosma, Judith Lefkes, Rianne A. Weber, James A. Meakin, Thomas Koopman, Anne Mickan, Mathias Prokop, Ewoud J. Smit, Geert Litjens, Jeroen van der Laak, Bram van Ginneken, Maarten de Rooij, Henkjan Huisman, Colin Jacobs, Francesco Ciompi, Alessa Hering
2025	J	`jnl`	"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images. CoRR Marina D'Amato, Jeroen van der Laak, Francesco Ciompi
2025	J	`jnl`	A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides. CoRR Carlijn M. Lems, Leslie Tessier, John-Melle Bokhorst, Mart van Rijthoven, Witali Aswolinskiy, Matteo Pozzi, Natalie Klubickova, Suzanne Dintzis, Michela Campora, Maschenka Balkenhol, Peter Bult, Joey Spronck, Thomas Detone, Mattia Barbareschi, Enrico Munari, Giuseppe Bogina, Jelle Wesseling, Esther H. Lips, Francesco Ciompi, Frédérique Meeuwsen, Jeroen van der Laak
2025	J	`jnl`	Democratizing Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling. CoRR Sander Moonemans, Sebastiaan Ram, Frédérique Meeuwsen, Carlijn M. Lems, Jeroen van der Laak, Geert Litjens, Francesco Ciompi
2025	J	`jnl`	Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap. Medical Image Anal. Clément Grisi, Kimmo Kartasalo, Martin Eklund, Lars Egevad, Jeroen van der Laak, Geert Litjens
2024	J	`jnl`	Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology. Comput. Biol. Medicine Khrystyna Faryna, Jeroen van der Laak, Geert Litjens
2024	J	`jnl`	Diffusion models for out-of-distribution detection in digital pathology. Medical Image Anal. Jasper Linmans, Gabriel Raya, Jeroen van der Laak, Geert Litjens
2024	J	`jnl`	Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation. CoRR Artur Jurgas, Marek Wodzinski, Marina D'Amato, Jeroen van der Laak, Manfredo Atzori, Henning Müller
2024	J	`jnl`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 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
2024	J	`jnl`	Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers. CoRR Clément Grisi, Geert Litjens, Jeroen van der Laak
2024	—	`conf`	Scoring Tumor-Infiltrating Lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach. COMPAY@MICCAI Matteo Pozzi, Natalie Klubickova, Michela Campora, Frédérique Meeuwsen, Joey Spronck, Carlijn M. Lems, Michelle Stegeman, Leslie Tessier, Mattia Barbareschi, Jeroen van der Laak, Giuseppe Jurman, Francesco Ciompi
2024	J	`jnl`	The Latent Doctor Model for Modeling Inter-Observer Variability. IEEE J. Biomed. Health Informatics Jasper Linmans, Emiel Hoogeboom, Jeroen van der Laak, Geert Litjens
2024	J	`jnl`	Uncertainty-guided annotation enhances segmentation with the human-in-the-loop. CoRR Nadieh Khalili, Joey Spronck, Francesco Ciompi, Jeroen van der Laak, Geert Litjens
2023	J	`jnl`	Continual learning strategies for cancer-independent detection of lymph node metastases. Medical Image Anal. Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Michel Kok, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2023	J	`jnl`	Gigapixel end-to-end training using streaming and attention. Medical Image Anal. Stephan Dooper, Hans Pinckaers, Witali Aswolinskiy, Konnie M. Hebeda, Sofia Jarkman, Jeroen van der Laak, Geert Litjens
2023	J	`jnl`	Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images. CoRR Clément Grisi, Geert Litjens, Jeroen van der Laak
2023	J	`jnl`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR 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
2023	J	`jnl`	Predictive uncertainty estimation for out-of-distribution detection in digital pathology. Medical Image Anal. Jasper Linmans, Stefan Elfwing, Jeroen van der Laak, Geert Litjens
2023	—	`conf`	nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers. MIDL 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
2022	J	`jnl`	Domain adaptation strategies for cancer-independent detection of lymph node metastases. CoRR Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2022	J	`jnl`	Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 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
2021	J	`jnl`	Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. CoRR John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi
2021	J	`jnl`	Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels. IEEE Trans. Medical Imaging Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens
2021	J	`jnl`	Editorial Computational Pathology. IEEE J. Biomed. Health Informatics Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot
2021	—	`conf`	Few-shot weakly supervised detection and retrieval in histopathology whole-slide images. Digital Pathology Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak, Francesco Ciompi
2021	J	`jnl`	High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology. CoRR Johannes Lotz, Nick Weiss, Jeroen van der Laak, Stefan Heldmann
2021	J	`jnl`	HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. Medical Image Anal. Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi
2021	—	`ed.`	MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event COMPAY@MICCAI Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec
2021	J	`jnl`	Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori
2021	J	`jnl`	Neural Image Compression for Gigapixel Histopathology Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
2021	—	`conf`	Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images. Digital Pathology Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak, Katrien Grunberg, Francesco Ciompi
2021	J	`jnl`	Residual cyclegan for robust domain transformation of histopathological tissue slides. Medical Image Anal. Thomas de Bel, John-Melle Bokhorst, Jeroen van der Laak, Geert Litjens
2021	—	`conf`	Tailoring automated data augmentation to H&E-stained histopathology. MIDL Khrystyna Faryna, Jeroen van der Laak, Geert Litjens
2020	J	`jnl`	Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists. CoRR 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
2020	J	`jnl`	Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. CoRR 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
2020	J	`jnl`	Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels. CoRR Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens
2020	—	`conf`	Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks. MIDL Jasper Linmans, Jeroen van der Laak, Geert Litjens
2020	—	`conf`	Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. MIDL David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
2020	J	`jnl`	Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. CoRR David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
2020	J	`jnl`	HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. CoRR Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi
2019	J	`jnl`	Automated Gleason Grading of Prostate Biopsies using Deep Learning. CoRR 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
2019	J	`jnl`	From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 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
2019	—	`conf`	Learning from sparsely annotated data for semantic segmentation in histopathology images. MIDL John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi
2019	J	`jnl`	Learning to detect lymphocytes in immunohistochemistry with deep learning. Medical Image Anal. 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
2019	J	`jnl`	Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. CoRR David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak
2019	J	`jnl`	Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Medical Image Anal. David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak
2019	—	`conf`	Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology. MIDL Thomas de Bel, Meyke Hermsen, Jesper Kers, Jeroen van der Laak, Geert Litjens
2018	—	`conf`	Automated segmentation of epithelial tissue in prostatectomy slides using deep learning. Digital Pathology Wouter Bulten, Christina A. Hulsbergen van de Kaa, Jeroen van der Laak, Geert J. S. Litjens
2018	—	`conf`	Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning. COMPAY/OMIA@MICCAI John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi
2018	—	`conf`	Automatic segmentation of histopathological slides of renal tissue using deep learning. Digital Pathology Thomas de Bel, Meyke Hermsen, Bart Smeets, Luuk Hilbrands, Jeroen van der Laak, Geert Litjens
2018	—	`ed.`	Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings COMPAY/OMIA@MICCAI Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna, David R. J. Snead, Emanuele Trucco, Mona Kathryn Garvin, Xinjian Chen, Hrvoje Bogunovic
2018	J	`jnl`	Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. CoRR 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
2018	—	`conf`	H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. Digital Pathology David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
2018	J	`jnl`	Neural Image Compression for Gigapixel Histopathology Image Analysis. CoRR David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
2018	—	`conf`	Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection. COMPAY/OMIA@MICCAI Thomas de Bel, Meyke Hermsen, Geert Litjens, Jeroen van der Laak
2018	J	`jnl`	Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. CoRR 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
2018	J	`jnl`	Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. IEEE Trans. Medical Imaging 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
2017	J	`jnl`	Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images. CoRR Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2017	—	`conf`	Comparison of different methods for tissue segmentation in histopathological whole-slide images. ISBI Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
2017	J	`jnl`	Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. CoRR Babak Ehteshami Bejnordi, Guido C. A. Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak
2017	—	`conf`	Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. ISBI Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
2017	J	`jnl`	Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. CoRR Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
2017	—	`conf`	The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
2017	J	`jnl`	The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
2016	A	`conf`	Variational Weakly Supervised Gaussian Processes. BMVC Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht
2016	—	`conf`	Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. Digital Mammography / IWDM 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
2015	—	`conf`	Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens. Digital Pathology Geert Litjens, Babak Ehteshami Bejnordi, Nadya Timofeeva, G. Swadi, Iringo Kovacs, Christina A. Hulsbergen van de Kaa, Jeroen van der Laak
2015	—	`conf`	Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging. Digital Pathology Sara Reis, Björn Eiben, Thomy Mertzanidou, John H. Hipwell, Meyke Hermsen, Jeroen van der Laak, Sarah E. Pinder, Peter Bult, David J. Hawkes
2014	—	`conf`	Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging. Digital Mammography / IWDM Thomy Mertzanidou, John H. Hipwell, Mehmet Dalmis, Bram Platel, Jeroen van der Laak, Ritse Mann, Nico Karssemeijer, Peter Bult, David J. Hawkes