1.3k citations · 1.4k across the 11 of their papers we have counts for
4 papers · 1 filter
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs
Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl +3
Alzheimer's Disease (AD) is the most common form of dementia and often difficult to diagnose due to the multifactorial etiology of dementia. Recent works on neuroimaging-based comp…
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas +55
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…
Recalibrating 3D ConvNets with Project & Excite
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua +1
Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art performance for segmentation tasks in computer vision and medical imaging. Recently, computational blocks term…
`Project & Excite' Modules for Segmentation of Volumetric Medical Scans
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua +2
Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art performance for image segmentation in medical imaging. Recently, squeeze and excitation (SE) modules and varia…