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COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
The high sensitivities achieved by most recent COVID-19 classification models are demystified, a homogeneous and balanced database that includes all levels of severity, from normal with Positive RT-PCR, Mild, Moderate to Severe is built and COVID Smart Data based Network (COVID-SDNet) methodology is proposed for improving the generalization capacity of CO VID-classification models.
ONKOVIS, Co-designed Oncology Follow-up Visualisation Tool
The co-design and development of the solution has succeed involving a team of end-users (oncologists and nurses), UX and design experts and technology development experts, showing temporally aligned heterogeneous health data.