Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications - Daan N. Schouten; Giulia Nicoletti; Bas Dille; Catherine Chia; Pierpaolo Vendittelli; Megan Schuurmans; Geert Litjens; Nadieh Khalili (Medical Image Anal., 2025)

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 - Ritse M. Mann; Tianyu Zhang; Tao Tan; Luyi Han; Danial Truhn; Shuo Li; Yuan Gao; Shannon Doyle; Robert Martí Marly; Jakob Nikolas Kather; Katja Pinker-Domenig; Shandong Wu; et al. (Springer, 2025)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology - Susu Sun; Leslie Tessier; Frédérique Meeuwsen; Clément Grisi; Dominique van Midden; Geert Litjens; Christian F. Baumgartner (CoRR, 2025)

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification - Susu Sun; Dominique van Midden; Geert Litjens; Christian F. Baumgartner (CoRR, 2025)

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, 2024)

Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning - Daan J. Geijs; Stephan Dooper; Witali Aswolinskiy; Lisa M. Hillen; Avital L. Amir; Geert Litjens (Medical Image Anal., 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)

The Latent Doctor Model for Modeling Inter-Observer Variability - Jasper Linmans; Emiel Hoogeboom; Jeroen van der Laak; Geert Litjens (IEEE J. Biomed. Health Informatics, 2024)

Medical diffusion on a budget: Textual Inversion for medical image generation - Bram De Wilde; Anindo Saha; Maarten de Rooij; Henkjan Huisman; Geert Litjens (Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France, 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)

Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers - Clément Grisi; Geert Litjens; Jeroen van der Laak (CoRR, 2024)

Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications - Daan N. Schouten; Giulia Nicoletti; Bas Dille; Catherine Chia; Pierpaolo Vendittelli; Megan Schuurmans; Geert Litjens; Nadieh Khalili (CoRR, 2024)

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)

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., 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., 2023)

PythoStitcher: an iterative approach for stitching digitized tissue fragments into full resolution whole-mount reconstructions - Daan N. Schouten; Geert J. S. Litjens (Medical Imaging 2023: Digital and Computational Pathology, San Diego, CA, USA, February 19-23, 2023, 2023)

Understanding metric-related pitfalls in image analysis validation - 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; et al. (CoRR, 2023)

Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images - Clément Grisi; Geert Litjens; Jeroen van der Laak (CoRR, 2023)

Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection - 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 (Comput. Biol. Medicine, 2022)

Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images - Hans Pinckaers; Bram van Ginneken; Geert Litjens (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas - Pierpaolo Vendittelli; Esther M. M. Smeets; Geert J. S. Litjens (Medical Imaging 2022: Digital and Computational Pathology, San Diego, CA, USA, February 20-24, 2022, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation - 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; et al. (CoRR, 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)

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)

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)

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019 - Zhang Li; Jiehua Zhang; Tao Tan; Xichao Teng; Xiaoliang Sun; Hong Zhao; Lihong Liu; Yang Xiao; Byungjae Lee; Yilong Li; Qianni Zhang; Shujiao Sun; et al. (IEEE J. Biomed. Health Informatics, 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)

Tailoring automated data augmentation to H&E-stained histopathology - Khrystyna Faryna; Jeroen van der Laak; Geert Litjens (Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany, 2021)

End-to-end classification on basal-cell carcinoma histopathology whole-slides images - Daan J. Geijs; Hans Pinckaers; Avital L. Amir; Geert J. S. Litjens (Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021)

Common Limitations of Image Processing Metrics: A Picture Story - 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; et al. (CoRR, 2021)

The Medical Segmentation Decathlon - 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; et al. (CoRR, 2021)

Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas - Pierpaolo Vendittelli; Esther M. M. Smeets; Geert Litjens (CoRR, 2021)

Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks - Jasper Linmans; Jeroen van der Laak; Geert Litjens (International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada, 2020)

Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images - Leander van Eekelen; Hans Pinckaers; Konnie M. Hebeda; Geert Litjens (Medical Imaging 2020: Digital Pathology, Houston, TX, USA, February 15-20, 2020, 2020)

Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning - Zaneta Swiderska-Chadaj; Konnie M. Hebeda; Michiel van den Brand; Geert Litjens (Medical Imaging 2020: Digital Pathology, Houston, TX, USA, February 15-20, 2020, 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; et al. (CoRR, 2020)

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 (CoRR, 2020)

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019 - Zhang Li; Jiehua Zhang; Tao Tan; Xichao Teng; Xiaoliang Sun; Yang Li; Lihong Liu; Yang Xiao; Byungjae Lee; Yilong Li; Qianni Zhang; Shujiao Sun; et al. (CoRR, 2020)

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; et al. (Medical Image Anal., 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)

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; et al. (IEEE Trans. Medical Imaging, 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 (International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom, 2019)

High resolution whole prostate biopsy classification using streaming stochastic gradient descent - Hans Pinckaers; Wouter Bulten; Geert Litjens (Medical Imaging 2019: Digital Pathology, San Diego, California, United States, 16-21 February 2019, 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 (CoRR, 2019)

A large annotated medical image dataset for the development and evaluation of segmentation algorithms - 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; et al. (CoRR, 2019)

Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification - Koen Dercksen; Wouter Bulten; Geert Litjens (CoRR, 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)

Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands - Hans Pinckaers; Geert Litjens (CoRR, 2019)

Streaming convolutional neural networks for end-to-end learning with multi-megapixel images - Hans Pinckaers; Bram van Ginneken; Geert Litjens (CoRR, 2019)

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; et al. (IEEE Trans. Medical Imaging, 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 (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, 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 (Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018, 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 (Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018, 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 (Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018, 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 (Medical Imaging 2018: Digital Pathology, Houston, Texas, United States, 10-15 February 2018, 2018)

Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study - Zhang Li; Zheyu Hu; Jiaolong Xu; Tao Tan; Hui Chen; Zhi Duan; Ping Liu; Jun Tang; Guoping Cai; Quchang Ouyang; Yuling Tang; Geert Litjens; et al. (CoRR, 2018)

Training convolutional neural networks with megapixel images - Hans Pinckaers; Geert J. S. Litjens (CoRR, 2018)

Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders - Wouter Bulten; Geert Litjens (CoRR, 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)

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; et al. (CoRR, 2018)

Neural Image Compression for Gigapixel Histopathology Image Analysis - David Tellez; Geert Litjens; Jeroen van der Laak; Francesco Ciompi (CoRR, 2018)

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)

Large scale deep learning for computer aided detection of mammographic lesions - Thijs Kooi; Geert Litjens; Bram van Ginneken; Albert Gubern-Mérida; Clara I. Sánchez; Ritse Mann; Ard den Heeten; Nico Karssemeijer (Medical Image Anal., 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)

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 (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 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 (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 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 (CoRR, 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 (CoRR, 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 (CoRR, 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)

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)

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks - 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 (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)

Automated robust registration of grossly misregistered whole-slide images with varying stains - Geert Litjens; Kai Safferling; Niels Grabe (Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February - 3 March 2016, 2016)

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities - 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 (CoRR, 2016)

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 (Medical Imaging 2015: Digital Pathology, Orlando, Florida, United States, 21-26 February 2015, 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 (Medical Imaging 2015: Digital Pathology, Orlando, Florida, United States, 21-26 February 2015, 2015)

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge - 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; et al. (Medical Image Anal., 2014)

Computer-Aided Detection of Prostate Cancer in MRI - Geert Litjens; Oscar Debats; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (IEEE Trans. Medical Imaging, 2014)

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI - Geert J. S. Litjens; R. Elliott; Natalie Shih; Michael D. Feldman; Jelle O. Barentsz; Christina A. Hulsbergen van de Kaa; Iringo Kovacs; Henkjan J. Huisman; Anant Madabhushi (Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, United States, 15-20 February 2014, 2014)

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation - Geert Litjens; Henkjan J. Huisman; R. Elliott; Natalie Shih; Michael D. Feldman; Satish Viswanath; Jurgen J. Fütterer; J. Bomers; Anant Madabhushi (Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 15-20 February 2014, 2014)

Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach - Geert J. S. Litjens; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, California, United States, 4-9 February 2012, 2012)

A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI - Geert Litjens; Oscar Debats; Wendy J. M. van de Ven; Nico Karssemeijer; Henkjan J. Huisman (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II, 2012)

Automatic computer aided detection of abnormalities in multi-parametric prostate MRI - Geert J. S. Litjens; Pieter C. Vos; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (Medical Imaging 2011: Computer-Aided Diagnosis, Lake Buena Vista (Orlando), Florida, United States, 12-17 February 2011, 2011)

Required Accuracy of MR-US Registration for Prostate Biopsies - Wendy J. M. van de Ven; Geert J. S. Litjens; Jelle O. Barentsz; Thomas Hambrock; Henkjan J. Huisman (Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings, 2011)

Pharmacokinetic models in clinical practice: what model to use for DCE-MRI of the breast? - Geert J. S. Litjens; Marieke Heisen; Johannes Buurman; Bart M. ter Haar Romeny (Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 April, 2010, 2010)

Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications - Henkjan J. Huisman; Pieter C. Vos; Geert Litjens; Thomas Hambrock; Jelle O. Barentsz (Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings, 2010)

Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates - Geert J. S. Litjens; Laurens Hogeweg; Arnold M. R. Schilham; Pim A. de Jong; Max A. Viergever; Bram van Ginneken (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II, 2010)