Geert Litjens - RankMe

83 papers Journal 63Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational Pathology in the Era of Emerging Foundation and Agentic AI - International Expert Perspectives on Clinical Integration and Translational Readiness. CoRR Qian Da, Yijiang Chen, Min Ju, Zheyi Ji, Albert Zhou, Wenwen Wang, Matthew Abikenari, Philip Chikontwe, Guillaume Larghero, Bowen Chen, Peter Neidlinger, Dingrong Zhong, Shuhao Wang, Wei Xu, Drew F. K. Williamson, Germán Corredor, Sen Yang, Le Lu, Xiao Han, Kun-Hsing Yu, Jun-Zhou Huang, Laura Barisoni, Geert Litjens, Anant Madabhushi, Lifeng Zhu, Chaofu Wang, Junhan Zhao, Weiguo Hu
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	—	`ed.`	Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings Deep-Breath@MICCAI Ritse M. Mann, Tianyu Zhang, Tao Tan, Luyi Han, Daniel Truhn, Shuo Li, Yuan Gao, Shannon Doyle, Robert Martí Marly, Jakob Nikolas Kather, Katja Pinker-Domenig, Shandong Wu, Geert Litjens
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
2025	J	`jnl`	Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology. CoRR Susu Sun, Leslie Tessier, Frédérique Meeuwsen, Clément Grisi, Dominique van Midden, Geert Litjens, Christian F. Baumgartner
2025	J	`jnl`	Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications. Medical Image Anal. Daan N. Schouten, Giulia Nicoletti, Bas Dille, Catherine Chia, Pierpaolo Vendittelli, Megan Schuurmans, Geert Litjens, Nadieh Khalili
2025	—	`conf`	Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification. MICCAI (14) Susu Sun, Dominique van Midden, Geert Litjens, Christian F. Baumgartner
2025	J	`jnl`	Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification. CoRR Susu Sun, Dominique van Midden, Geert Litjens, Christian F. Baumgartner
2025	J	`jnl`	Self-supervised large-scale kidney abnormality detection in drug safety assessment studies. CoRR Ivan Slootweg, Natalia P. García-de-la-Puente, Geert Litjens, Salma Dammak
2025	J	`jnl`	Transformer-Based Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification. IEEE J. Biomed. Health Informatics Jianpeng An, Yong Wang, Qing Cai, Gang Zhao, Stephan Dooper, Geert Litjens, Zhongke Gao
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`	Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning. Medical Image Anal. Daan J. Geijs, Stephan Dooper, Witali Aswolinskiy, Lisa M. Hillen, Avital L. Amir, 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`	Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers. CoRR Clément Grisi, Geert Litjens, Jeroen van der Laak
2024	—	`conf`	Medical diffusion on a budget: Textual Inversion for medical image generation. MIDL Bram De Wilde, Anindo Saha, Maarten de Rooij, Henkjan Huisman, Geert Litjens
2024	J	`jnl`	Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications. CoRR Daan N. Schouten, Giulia Nicoletti, Bas Dille, Catherine Chia, Pierpaolo Vendittelli, Megan Schuurmans, Geert Litjens, Nadieh Khalili
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`	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	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
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`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2022	J	`jnl`	Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection. Comput. Biol. Medicine Lisa C. Adams, Marcus R. Makowski, Günther Engel, Maximilian Rattunde, Felix Busch, Patrick Asbach, Stefan Markus Niehues, Shankeeth Vinayahalingam, Bram van Ginneken, Geert Litjens, Keno K. Bressem
2022	J	`jnl`	Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images. IEEE Trans. Pattern Anal. Mach. Intell. Hans Pinckaers, Bram van Ginneken, Geert Litjens
2021	J	`jnl`	Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas. CoRR Pierpaolo Vendittelli, Esther M. M. Smeets, Geert Litjens
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
2021	J	`jnl`	Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019. IEEE J. Biomed. Health Informatics Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-Cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Li Yu, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens
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`	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	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
2021	J	`jnl`	The Medical Segmentation Decathlon. CoRR Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
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`	Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019. CoRR Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-Cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens
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`	Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images. Digital Pathology Leander van Eekelen, Hans Pinckaers, Konnie M. Hebeda, Geert Litjens
2020	—	`conf`	Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning. Digital Pathology Zaneta Swiderska-Chadaj, Konnie M. Hebeda, Michiel van den Brand, Geert Litjens
2019	J	`jnl`	A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso
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`	Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification. CoRR Koen Dercksen, Wouter Bulten, 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`	High resolution whole prostate biopsy classification using streaming stochastic gradient descent. Digital Pathology Hans Pinckaers, Wouter Bulten, Geert Litjens
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`	Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands. CoRR Hans Pinckaers, Geert Litjens
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
2019	J	`jnl`	Streaming convolutional neural networks for end-to-end learning with multi-megapixel images. CoRR Hans Pinckaers, Bram van Ginneken, Geert Litjens
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	J	`jnl`	Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study. CoRR Zhang Li, Zheyu Hu, Jiaolong Xu, Tao Tan, Hui Chen, Zhi Duan, Ping Liu, Jun Tang, Guoping Cai, Quchang Ouyang, Yuling Tang, Geert Litjens, Qiang Li
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`	Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders. CoRR Wouter Bulten, Geert Litjens
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`	A Survey on Deep Learning in Medical Image Analysis. CoRR 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
2017	J	`jnl`	A survey on deep learning in medical image analysis. Medical Image Anal. 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
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	J	`jnl`	Large scale deep learning for computer aided detection of mammographic lesions. Medical Image Anal. Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer
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	J	`jnl`	Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. IEEE Trans. Medical Imaging Babak Ehteshami Bejnordi, Maschenka Balkenhol, Geert Litjens, Roland Holland, Peter Bult, Nico Karssemeijer, Jeroen A. W. M. van der Laak
2016	—	`conf`	Automated robust registration of grossly misregistered whole-slide images with varying stains. Digital Pathology Geert Litjens, Kai Safferling, Niels Grabe
2016	J	`jnl`	Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. CoRR Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge van Uden, Clara I. Sánchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
2016	J	`jnl`	Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks. IEEE Trans. Medical Imaging Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, Paul K. Gerke, Colin Jacobs, Sarah J. van Riel, Mathilde Marie Winkler Wille, Matiullah Naqibullah, Clara I. Sánchez, Bram van Ginneken
2016	J	`jnl`	Stain Specific Standardization of Whole-Slide Histopathological Images. IEEE Trans. Medical Imaging Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Höller, André Homeyer, Nico Karssemeijer, Jeroen A. W. M. van der Laak
2015	—	`conf`	A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images. Digital Pathology Babak Ehteshami Bejnordi, Geert Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. M. van der Laak
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
2014	J	`jnl`	Computer-Aided Detection of Prostate Cancer in MRI. IEEE Trans. Medical Imaging Geert Litjens, Oscar Debats, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman
2014	—	`conf`	Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. Image-Guided Procedures Geert Litjens, Henkjan J. Huisman, R. Elliott, Natalie Shih, Michael D. Feldman, Satish Viswanath, Jurgen J. Fütterer, J. Bomers, Anant Madabhushi
2014	J	`jnl`	Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. Geert Litjens, Robert Toth, Wendy J. M. van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenaël Guillard, Neil Birbeck, Jindang Zhang, Robin Strand, Filip Malmberg, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi
2012	—	`conf`	A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI. MICCAI (2) Geert Litjens, Oscar Debats, Wendy J. M. van de Ven, Nico Karssemeijer, Henkjan J. Huisman
2010	—	`conf`	Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications. Prostate Cancer Imaging Henkjan J. Huisman, Pieter C. Vos, Geert Litjens, Thomas Hambrock, Jelle O. Barentsz