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Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

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Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

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Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Deep Learning Building on Prior Ischemic Core Segmentation Improves Prediction of Infarction After Stroke

Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery

The role of convolutional neural networks in scanning probe microscopy: a review

Automation of the diagnosis process in the railway system : Detection of defects in concrete sleepers using vision-based machine learning models

Brain micro-vasculature imaging: An unsupervised deep learning algorithm for segmenting mouse brain volume probed by high-resolution phase-contrast X-ray tomography

Metabolic plasticity and glucose transporter redundancy dictate lung adenocarcinoma growth

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures