List of works - Geert Litjens

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.

scientific article

A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach

scientific article published on 01 July 2019

A pattern recognition approach to zonal segmentation of the prostate on MRI

scientific article published on 01 January 2012

A survey on deep learning in medical image analysis

scientific article

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

scientific article published on 05 August 2020

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

scientific article published on 13 January 2022

Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma

scientific article published on 26 September 2020

Assessment of Prostate Cancer Aggressiveness Using Dynamic Contrast-enhanced Magnetic Resonance Imaging at 3 T ⬇️

scientific article published on May 31, 2013

Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images

scientific article

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

scientific article published on 08 January 2020

Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients

scientific article

Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI.

scientific article

Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

scientific article published on 01 March 2019

Computer-aided detection of prostate cancer in MRI.

scientific article published in May 2014

Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.

scientific article

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

scientific article published in October 2017

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

scientific article published on 20 November 2020

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

scientific article published on 23 May 2016

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

scientific article published in December 2017

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

scientific article published in Scientific Reports

Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge

scientific article

Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.

scientific article published on 27 January 2017

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

scientific article published on 01 February 2019

Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

scientific article published on 01 September 2020

Interpatient variation in normal peripheral zone apparent diffusion coefficient: effect on the prediction of prostate cancer aggressiveness.

scientific article published on 24 August 2012

Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol

scientific article published on 20 October 2016

Large scale deep learning for computer aided detection of mammographic lesions

scientific article published on 2 August 2016

Learning to detect lymphocytes in immunohistochemistry with deep learning

scientific article published on 21 August 2019

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

scientific article published on 11 July 2017

Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks

scientific article published on 22 November 2019

MAGE expression in head and neck squamous cell carcinoma primary tumors, lymph node metastases and respective recurrences-implications for immunotherapy.

scientific article published on 27 January 2017

Machine Learning Compared With Pathologist Assessment-Reply

scientific article published on 01 April 2018

Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate Cancer.

scientific article published on August 2015

Neural Image Compression for Gigapixel Histopathology Image Analysis

scientific article published on 22 August 2019

No pixel-level annotations needed

scientific article published on 01 November 2019

Predicting biochemical recurrence of prostate cancer with artificial intelligence

scientific article published on 08 June 2022

Prostate Cancer: The European Society of Urogenital Radiology Prostate Imaging Reporting and Data System Criteria for Predicting Extraprostatic Extension by Using 3-T Multiparametric MR Imaging.

scientific article published on 3 April 2015

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

scientific article published on March 2016

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

scientific article published on 21 August 2019

Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy

scientific article published on 27 October 2014

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

scientific article published on 17 December 2019

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks

scientific article published on 10 April 2019

Simulation of nodules and diffuse infiltrates in chest radiographs using CT templates

scientific article published on 01 January 2010

Stain Specific Standardization of Whole-Slide Histopathological Images.

scientific article published on 4 September 2015

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

scientific article published on 01 August 2019

Streaming convolutional neural networks for end-to-end learning with multi-megapixel images

scientific article published on 26 August 2020

Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

scientific article

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

scientific article published on 28 March 2018

List of works by Geert Litjens

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.

A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach

A pattern recognition approach to zonal segmentation of the prostate on MRI

A survey on deep learning in medical image analysis

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma

Assessment of Prostate Cancer Aggressiveness Using Dynamic Contrast-enhanced Magnetic Resonance Imaging at 3 T ⬇️

Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients

Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI.

Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

Computer-aided detection of prostate cancer in MRI.

Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.

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

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

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

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

Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge

Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

Interpatient variation in normal peripheral zone apparent diffusion coefficient: effect on the prediction of prostate cancer aggressiveness.

Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol

Large scale deep learning for computer aided detection of mammographic lesions

Learning to detect lymphocytes in immunohistochemistry with deep learning

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks

MAGE expression in head and neck squamous cell carcinoma primary tumors, lymph node metastases and respective recurrences-implications for immunotherapy.

Machine Learning Compared With Pathologist Assessment-Reply

Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate Cancer.

Neural Image Compression for Gigapixel Histopathology Image Analysis

No pixel-level annotations needed

Predicting biochemical recurrence of prostate cancer with artificial intelligence

Prostate Cancer: The European Society of Urogenital Radiology Prostate Imaging Reporting and Data System Criteria for Predicting Extraprostatic Extension by Using 3-T Multiparametric MR Imaging.

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

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks

Simulation of nodules and diffuse infiltrates in chest radiographs using CT templates

Stain Specific Standardization of Whole-Slide Histopathological Images.

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

Streaming convolutional neural networks for end-to-end learning with multi-megapixel images

Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks