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Jeroen van der Laak
Jeroen A. W. M. van der Laak
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2020 – today
- 2024
- [j23]Khrystyna Faryna, Jeroen van der Laak
, Geert Litjens
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology. Comput. Biol. Medicine 170: 108018 (2024) - [j22]Jasper Linmans
Diffusion models for out-of-distribution detection in digital pathology. Medical Image Anal. 93: 103088 (2024) - [j21]Jasper Linmans
The Latent Doctor Model for Modeling Inter-Observer Variability. IEEE J. Biomed. Health Informatics 28(1): 343-354 (2024) - [j20]Yiping Jiao
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28(3): 1161-1172 (2024) - [i23]Nadieh Khalili, Joey Spronck, Francesco Ciompi, Jeroen van der Laak, Geert Litjens:
Uncertainty-guided annotation enhances segmentation with the human-in-the-loop. CoRR abs/2404.07208 (2024) - [i22]Clément Grisi, Geert Litjens, Jeroen van der Laak:
Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers. CoRR abs/2404.18152 (2024) - [i21]Artur Jurgas, Marek Wodzinski, Marina D'Amato, Jeroen van der Laak, Manfredo Atzori, Henning Müller:
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation. CoRR abs/2406.11538 (2024) - 2023
- [j19]Jasper Linmans
Predictive uncertainty estimation for out-of-distribution detection in digital pathology. Medical Image Anal. 83: 102655 (2023) - [j18]Péter Bándi
Continual learning strategies for cancer-independent detection of lymph node metastases. Medical Image Anal. 85: 102755 (2023) - [j17]Stephan Dooper
Gigapixel end-to-end training using streaming and attention. Medical Image Anal. 88: 102881 (2023) - [c27]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:
nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers. MIDL 2023: 1859-1874 - [i20]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:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR abs/2301.06304 (2023) - [i19]Clément Grisi, Geert Litjens, Jeroen van der Laak:
Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images. CoRR abs/2312.12619 (2023) - 2022
- [j16]Niccolò Marini
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022) - [i18]Péter Bándi, Maschenka Balkenhol, Marcory Van Dijk, Bram van Ginneken, Jeroen van der Laak
Domain adaptation strategies for cancer-independent detection of lymph node metastases. CoRR abs/2207.06193 (2022) - 2021
- [j15]Niccolò Marini, Sebastian Otálora, Damian Podareanu
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. 3: 684521 (2021) - [j14]Mart van Rijthoven, Maschenka Balkenhol, Karina Silina
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. Medical Image Anal. 68: 101890 (2021) - [j13]Thomas de Bel, John-Melle Bokhorst, Jeroen van der Laak
Residual cyclegan for robust domain transformation of histopathological tissue slides. Medical Image Anal. 70: 102004 (2021) - [j12]David Tellez
Neural Image Compression for Gigapixel Histopathology Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 567-578 (2021) - [j11]Francesco Ciompi, Mitko Veta
Editorial Computational Pathology. IEEE J. Biomed. Health Informatics 25(2): 303-306 (2021) - [j10]Hans Pinckaers
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels. IEEE Trans. Medical Imaging 40(7): 1817-1826 (2021) - [c26]Khrystyna Faryna, Jeroen van der Laak, Geert Litjens:
Tailoring automated data augmentation to H&E-stained histopathology. MIDL 2021: 168-178 - [c25]Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images. Digital Pathology 2021 - [c24]Jeroen A. W. M. van der Laak:
Computational Pathology: What is the way forward? Digital Pathology 2021 - [c23]Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images. Digital Pathology 2021 - [e2]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:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents] - [d1]Jeroen van der Laak
HyReCo - Hybrid re-stained and consecutive histological serial sections. IEEE DataPort, 2021 - [i17]Johannes Lotz, Nick Weiss, Jeroen van der Laak, Stefan Heldmann:
High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology. CoRR abs/2106.13150 (2021) - [i16]John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi:
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. CoRR abs/2109.07892 (2021) - 2020
- [c22]Jasper Linmans, Jeroen van der Laak, Geert Litjens:
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks. MIDL 2020: 465-478 - [c21]David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi:
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. MIDL 2020: 770-783 - [i15]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:
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists. CoRR abs/2002.04500 (2020) - [i14]David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi:
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. CoRR abs/2004.07041 (2020) - [i13]Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens:
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels. CoRR abs/2006.03394 (2020) - [i12]Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi:
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. CoRR abs/2006.12230 (2020) - [i11]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:
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. CoRR abs/2012.04974 (2020)
2010 – 2019
- 2019
- [j9]Zaneta Swiderska-Chadaj
Learning to detect lymphocytes in immunohistochemistry with deep learning. Medical Image Anal. 58 (2019) - [j8]David Tellez
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Medical Image Anal. 58 (2019) - [j7]Péter Bándi
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - [c20]John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi:
Learning from sparsely annotated data for semantic segmentation in histopathology images. MIDL 2019: 84-91 - [c19]Thomas de Bel, Meyke Hermsen, Jesper Kers, Jeroen van der Laak, Geert Litjens:
Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology. MIDL 2019: 151-163 - [i10]David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. CoRR abs/1902.06543 (2019) - [i9]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:
Automated Gleason Grading of Prostate Biopsies using Deep Learning. CoRR abs/1907.07980 (2019) - 2018
- [j6]David Tellez
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 37(9): 2126-2136 (2018) - [c18]Farhad Ghazvinian Zanjani, Svitlana Zinger, Babak Ehteshami Bejnordi, Jeroen A. W. M. van der Laak
Stain normalization of histopathology images using generative adversarial networks. ISBI 2018: 573-577 - [c17]Thomas de Bel, Meyke Hermsen, Geert Litjens
Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection. COMPAY/OMIA@MICCAI 2018: 112-119 - [c16]John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal
Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning. COMPAY/OMIA@MICCAI 2018: 130-138 - [c15]Wouter Bulten
Automated segmentation of epithelial tissue in prostatectomy slides using deep learning. Digital Pathology 2018: 105810S - [c14]Daan J. Geijs, Milad Intezar, Jeroen A. W. M. van der Laak
Automatic color unmixing of IHC stained whole slide images. Digital Pathology 2018: 105810L - [c13]David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. Digital Pathology 2018: 105810Z - [c12]Thomas de Bel, Meyke Hermsen, Bart Smeets, Luuk Hilbrands, Jeroen van der Laak
Automatic segmentation of histopathological slides of renal tissue using deep learning. Digital Pathology 2018: 1058112 - [e1]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
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. Lecture Notes in Computer Science 11039, Springer 2018, ISBN 978-3-030-00948-9 [contents] - [i8]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:
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. CoRR abs/1808.05883 (2018) - [i7]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:
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. CoRR abs/1808.05896 (2018) - [i6]David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi:
Neural Image Compression for Gigapixel Histopathology Image Analysis. CoRR abs/1811.02840 (2018) - 2017
- [j5]Stefan C. A. Steens, Elise M. Bekers, Willem L. J. Weijs, Geert J. S. Litjens
Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR. Int. J. Comput. Assist. Radiol. Surg. 12(5): 821-828 (2017) - [j4]Geert Litjens
A survey on deep learning in medical image analysis. Medical Image Anal. 42: 60-88 (2017) - [c11]Francesco Ciompi
The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI 2017: 160-163 - [c10]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi
Comparison of different methods for tissue segmentation in histopathological whole-slide images. ISBI 2017: 591-595 - [c9]Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. ISBI 2017: 929-932 - [i5]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:
A Survey on Deep Learning in Medical Image Analysis. CoRR abs/1702.05747 (2017) - [i4]Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck:
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. CoRR abs/1702.05803 (2017) - [i3]Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak:
The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR abs/1702.05931 (2017) - [i2]Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images. CoRR abs/1703.05990 (2017) - [i1]Babak Ehteshami Bejnordi, Guido C. A. Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak:
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. CoRR abs/1705.03678 (2017) - 2016
- [j3]Bonnie Nijhof, Anna Castells-Nobau
A New Fiji-Based Algorithm That Systematically Quantifies Nine Synaptic Parameters Provides Insights into Drosophila NMJ Morphometry. PLoS Comput. Biol. 12(3) (2016) - [j2]Babak Ehteshami Bejnordi, Geert Litjens
Stain Specific Standardization of Whole-Slide Histopathological Images. IEEE Trans. Medical Imaging 35(2): 404-415 (2016) - [j1]Babak Ehteshami Bejnordi
Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. IEEE Trans. Medical Imaging 35(9): 2141-2150 (2016) - [c8]Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht:
Variational Weakly Supervised Gaussian Processes. BMVC 2016 - [c7]Thomy Mertzanidou
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. Digital Mammography / IWDM 2016: 367-374 - [c6]Henning Kost
A generic nuclei detection method for histopathological breast images. Digital Pathology 2016: 97911E - 2015
- [c5]Babak Ehteshami Bejnordi, Geert Litjens
A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images. Digital Pathology 2015: 94200H - [c4]Geert Litjens
Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens. Digital Pathology 2015: 94200B - [c3]Sara Reis, Björn Eiben
Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging. Digital Pathology 2015: 94200K - 2014
- [c2]Thomy Mertzanidou
Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging. Digital Mammography / IWDM 2014: 674-680 - [c1]Babak Ehteshami Bejnordi, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, Jeroen A. W. M. van der Laak
Quantitative analysis of stain variability in histology slides and an algorithm for standardization. Digital Pathology 2014: 904108
Coauthor Index
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last updated on 2024-11-28 21:28 CET by the dblp team
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