B. van Ginneken

Latest

• Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
• Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
• A large annotated medical image dataset for the development and evaluation of segmentation algorithms
• Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
• Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
• From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
• Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
• Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
• Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images
• The importance of stain normalization in colorectal tissue classification with convolutional networks
• A Survey on Deep Learning in Medical Image Analysis
• Large scale deep learning for computer aided detection of mammographic lesions
• Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
• Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
• Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks
• Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
• Simulation of nodules and diffuse infiltrates in chest radiographs using CT templates
• Training a Computer Aided Detection System with Simulated Lung Nodules in Chest Radiographs