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Københavns Uni

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The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longit...
02/09/2020 ∙ by Razvan V. Marinescu, et al. ∙ 0 ∙ share

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On the Initialization of Long Short-Term Memory Networks

Weight initialization is important for faster convergence and stability ...
12/22/2019 ∙ by Mostafa Mehdipour Ghazi, et al. ∙ 28 ∙ share

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Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning

Supervised learning algorithms trained on medical images will often fail...
08/16/2019 ∙ by Mauricio Orbes-Arteaga, et al. ∙ 6 ∙ share

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Knowledge distillation for semi-supervised domain adaptation

In the absence of sufficient data variation (e.g., scanner and protocol ...
08/16/2019 ∙ by Mauricio Orbes-Arteaga, et al. ∙ 1 ∙ share

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Robust parametric modeling of Alzheimer's disease progression

Quantitative characterization of disease progression using longitudinal ...
08/14/2019 ∙ by Mostafa Mehdipour Ghazi, et al. ∙ 0 ∙ share

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

Disease progression modeling (DPM) using longitudinal data is a challeng...
03/17/2019 ∙ by Mostafa Mehdipour Ghazi, et al. ∙ 10 ∙ share

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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

For proper generalization performance of convolutional neural networks (...
10/03/2018 ∙ by Mauricio Orbes-Arteaga, et al. ∙ 4 ∙ share

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Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

Segmenting vascular pathologies such as white matter lesions in Brain ma...
08/20/2018 ∙ by Mauricio Orbes-Arteaga, et al. ∙ 0 ∙ share

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Robust training of recurrent neural networks to handle missing data for disease progression modeling

Disease progression modeling (DPM) using longitudinal data is a challeng...
08/16/2018 ∙ by Mostafa Mehdipour Ghazi, et al. ∙ 0 ∙ share

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Label Stability in Multiple Instance Learning

We address the problem of instance label stability in multiple instance ...
03/15/2017 ∙ by Veronika Cheplygina, et al. ∙ 0 ∙ share

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Classification of COPD with Multiple Instance Learning

Chronic obstructive pulmonary disease (COPD) is a lung disease where ear...
03/15/2017 ∙ by Veronika Cheplygina, et al. ∙ 0 ∙ share

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Transfer learning for multi-center classification of chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a lung disease which can...
01/18/2017 ∙ by Veronika Cheplygina, et al. ∙ 0 ∙ share

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