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Lauge Sørensen

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data

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Apr 08, 2021
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Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning

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Sep 17, 2019
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Knowledge distillation for semi-supervised domain adaptation

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Aug 16, 2019
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Robust parametric modeling of Alzheimer's disease progression

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Aug 14, 2019
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Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling

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Mar 17, 2019
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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

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Oct 03, 2018
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Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

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Aug 20, 2018
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Robust training of recurrent neural networks to handle missing data for disease progression modeling

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Aug 16, 2018
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Transfer learning for multi-center classification of chronic obstructive pulmonary disease

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Nov 23, 2017
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A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images

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May 01, 2017
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