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Publications

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

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

Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification

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

Medical imaging informatics, more than 'just' deep learning

Potential for dose reduction in CT emphysema densitometry with post-scan noise reduction: a phantom study

In-room ultrasound fusion combined with fully compatible 3D-printed holding arm - rethinking interventional MRI

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