Geert Litjens

Orcid: 0000-0003-1554-1291

Affiliations:
  • Radboud University Medical Center, Diagnostic Image Analysis Group and the Department of Pathology, Nijmegen, The Netherlands


According to our database1, Geert Litjens authored at least 68 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology.
Comput. Biol. Medicine, March, 2024

The Latent Doctor Model for Modeling Inter-Observer Variability.
IEEE J. Biomed. Health Informatics, January, 2024

2023
Gigapixel end-to-end training using streaming and attention.
Medical Image Anal., August, 2023

Continual learning strategies for cancer-independent detection of lymph node metastases.
Medical Image Anal., April, 2023

Predictive uncertainty estimation for out-of-distribution detection in digital pathology.
Medical Image Anal., 2023

Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images.
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

2022
Streaming Convolutional Neural Networks for End-to-End Learning With Multi-Megapixel Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Domain adaptation strategies for cancer-independent detection of lymph node metastases.
CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

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

2021
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels.
IEEE Trans. Medical Imaging, 2021

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019.
IEEE J. Biomed. Health Informatics, 2021

Neural Image Compression for Gigapixel Histopathology Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Residual cyclegan for robust domain transformation of histopathological tissue slides.
Medical Image Anal., 2021

Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas.
CoRR, 2021

The Medical Segmentation Decathlon.
CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.
CoRR, 2021

End-to-end classification on basal-cell carcinoma histopathology whole-slides images.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Tailoring automated data augmentation to H&E-stained histopathology.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019.
CoRR, 2020

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists.
CoRR, 2020

Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks.
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.
IEEE Trans. Medical Imaging, 2019

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
Medical Image Anal., 2019

Learning to detect lymphocytes in immunohistochemistry with deep learning.
Medical Image Anal., 2019

Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands.
CoRR, 2019

Automated Gleason Grading of Prostate Biopsies using Deep Learning.
CoRR, 2019

Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification.
CoRR, 2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019

High resolution whole prostate biopsy classification using streaming stochastic gradient descent.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology.
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.
IEEE Trans. Medical Imaging, 2018

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
CoRR, 2018

Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders.
CoRR, 2018

Training convolutional neural networks with megapixel images.
CoRR, 2018

Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study.
CoRR, 2018

H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Automatic color unmixing of IHC stained whole slide images.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Automated segmentation of epithelial tissue in prostatectomy slides using deep learning.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Automatic segmentation of histopathological slides of renal tissue using deep learning.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
A survey on deep learning in medical image analysis.
Medical Image Anal., 2017

Large scale deep learning for computer aided detection of mammographic lesions.
Medical Image Anal., 2017

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.
CoRR, 2017

Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.
Int. J. Comput. Assist. Radiol. Surg., 2017

The importance of stain normalization in colorectal tissue classification with convolutional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Comparison of different methods for tissue segmentation in histopathological whole-slide images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
IEEE Trans. Medical Imaging, 2016

Stain Specific Standardization of Whole-Slide Histopathological Images.
IEEE Trans. Medical Imaging, 2016

Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images.
IEEE Trans. Medical Imaging, 2016

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
CoRR, 2016

Automated robust registration of grossly misregistered whole-slide images with varying stains.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

2015
Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens.
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.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

2014
Computer-Aided Detection of Prostate Cancer in MRI.
IEEE Trans. Medical Imaging, 2014

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.
Medical Image Anal., 2014

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2012
A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011
Required Accuracy of MR-US Registration for Prostate Biopsies.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011

Automatic computer aided detection of abnormalities in multi-parametric prostate MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010
Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Computer Aided Detection of Prostate Cancer Using T2, DWI and DCE MRI: Methods and Clinical Applications.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010

Pharmacokinetic models in clinical practice: what model to use for DCE-MRI of the breast?
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010


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