RPS 905 - New approaches for sustainability and image optimisation
Lectures
1
Turn it off! Saving energy in radiology departments by implementing live dashboards showing idle imaging modalities, PCs and PACS workstations not powered down during off-hours
07:00Manfred Tobias Meyer, Basel / CH
2
Reduction of Gadolinium-based contrast agents in magnetic resonance imaging: evaluation of a convolutional neural network in different multiparametric settings
07:00Robert Haase, Bonn / DE
3
Diffusion probabilistic models to reduce the need for contrast agents in breast MRI
07:00Teresa Nolte, Aachen / DE
4
Using machine learning to help reduce the need for contrast agents in breast MRI through image synthesis
07:00Gustav Müller-Franzes, Aachen / DE
5
Faster MRI acquisition: the relationship between visual and diagnostic quality in prostate MRI reconstruction
07:00Quintin Yves van Lohuizen, Groningen / NL
6
Effect of deep learning based denoising method on low count/reduced time protocol in low dose 18F-FDG scans with digital PET/CT
07:00Shashank Shekhar Singh, Lucknow / IN
7
Identification of repeat rates in pulmonary embolism exams: comparison of manual and automatic analyses
07:00Cécile RLPN Jeukens, Maastricht / NL
8
Deep learning-based image denoising in imaging of kidney stones: an assessment of image quality and comparison to state-of-the-art image reconstructions
07:00Robert Angelo Terzis, Cologne / DE
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