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Publications

Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning

2D Gait Skeleton Data Normalization for Quantitative Assessment of Movement Disorders from Freehand Single Camera Video Recordings

AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation

AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline

Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models

Breast Tumor Identification in Ultrafast MRI Using Temporal and Spatial Information

Computer 3D modeling of radiofrequency ablation of atypical cartilaginous tumours in long bones using finite element methods and real patient anatomy

Coronary calcium scoring as first-line test to detect and exclude coronary artery disease in patients presenting to the general practitioner with stable chest pain: protocol of the cluster-randomised CONCRETE trial

Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)

Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting

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Press/media

Data Science Center in Health (DASH)

DAME: Deep learning Algorithms for Medical image Evaluation

DAME project

Data control with AI: who’s in charge?

Coverage during ECR 2018 in the daily newspaper

How Radiologists can future-proof themselves by embracing 3D visualization

Radiologists can future-proof themselves by embracing 3D visualization.

EuSoMII: radiologists should actively engage in imaging informatics

8 Must-Attend Sessions at ECR 2017

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