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07/10/2023
Multimodal brain age estimation using interpretable adaptive population-graph learning
Brain age estimation is clinically important as it can provide valuable ...
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10/08/2021
Is MC Dropout Bayesian?
MC Dropout is a mainstream "free lunch" method in medical imaging for ap...
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08/11/2021
Voxel-level Importance Maps for Interpretable Brain Age Estimation
Brain aging, and more specifically the difference between the chronologi...
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08/11/2021
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
Using publicly available data to determine the performance of methodolog...
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08/10/2021
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
Convolutional Neural Networks (CNNs) are widely used for image classific...
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07/31/2021
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data
Datasets are rarely a realistic approximation of the target population. ...
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08/29/2020