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4 papers · 2 filters
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI
Aurelien Bustin, Anne Menini, Martin A. Janich +4
To develop an efficient motion-compensated reconstruction technique for free-breathing cardiac magnetic resonance imaging (MRI) that allows high-quality images to be reconstructed…
Real-time analysis of cataract surgery videos using statistical models
Katia Charrière, Gwenolé Quellec, Mathieu Lamard +4
The automatic analysis of the surgical process, from videos recorded during surgeries, could be very useful to surgeons, both for training and for acquiring new techniques. The tra…
Deep image mining for diabetic retinopathy screening
Gwenolé Quellec, Katia Charrière, Yassine Boudi +2
Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large medical archive, where each image is associated with a diagnosis, efficient path…
Humans and deep networks largely agree on which kinds of variation make object recognition harder
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh +1
View-invariant object recognition is a challenging problem, which has attracted much attention among the psychology, neuroscience, and computer vision communities. Humans are notor…