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20172022
most citedDeep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities

333 citations · 1.6k across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.IV2019

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis

Majd Zreik, Tim Leiner, Nadieh Khalili +5

Treatment of patients with obstructive coronary artery disease is guided by the functional significance of a coronary artery stenosis. Fractional flow reserve (FFR), measured durin…

eess.IV2019

CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT

Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt +2

Quantification of cardiac structures in non-contrast CT (NCCT) could improve cardiovascular risk stratification. However, setting a manual reference to train a fully convolutional…

eess.IV2019

Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography

Jelmer M. Wolterink, Tim Leiner, Ivana Išgum

Detection of coronary artery stenosis in coronary CT angiography (CCTA) requires highly personalized surface meshes enclosing the coronary lumen. In this work, we propose to use gr…

eess.IV2019★ 1 cited

Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography

Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili +5

In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment. This is typically establi…

cs.CV2019★ 131 cited

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT

Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner +3

Cardiovascular disease (CVD) is the global leading cause of death. A strong risk factor for CVD events is the amount of coronary artery calcium (CAC). To meet demands of the increa…