Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Analyzing temporal developments is crucial for the accurate prognosis of many medical conditions. Temporal changes that occur over short time scales are key to assessing the health of physiological functions, such as the cardiac cycle. Moreover, tracking longer term developments that occur over mont...

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Hauptverfasser:	Shen, Chengzhi, Menten, Martin J, Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Scholl, Hendrik, Sivaprasad, Sobha, Lotery, Andrew, Rueckert, Daniel, Hager, Paul, Holland, Robbie
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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