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09/20/2022
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation
Uncertainty quantification in automated image analysis is highly desired...
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06/16/2022
Classification of datasets with imputed missing values: does imputation quality matter?
Classifying samples in incomplete datasets is a common aim for machine l...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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10/31/2021
Focal Attention Networks: optimising attention for biomedical image segmentation
In recent years, there has been increasing interest to incorporate atten...
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10/31/2021
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation
Manual segmentation is used as the gold-standard for evaluating neural n...
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10/31/2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
The Dice similarity coefficient (DSC) is both a widely used metric and l...
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05/16/2021
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy
BACKGROUND AND CONTEXT: Artificial intelligence has the potential to aid...
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02/08/2021
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation
Automatic segmentation methods are an important advancement in medical i...
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08/14/2020
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
Background: Machine learning methods offer great potential for fast and ...
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07/24/2020