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04/15/2023
Non-Proportional Parametrizations for Stable Hypernetwork Learning
Hypernetworks are neural networks that generate the parameters of anothe...
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04/11/2023
Amortized Learning of Dynamic Feature Scaling for Image Segmentation
Convolutional neural networks (CNN) have become the predominant model fo...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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09/11/2020
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology
Neuroimaging to neuropathology correlation (NTNC) promises to enable the...
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04/09/2020
Cortical surface registration using unsupervised learning
Non-rigid cortical registration is an important and challenging task due...
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11/17/2018
