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08/21/2023
Debiasing Counterfactuals In the Presence of Spurious Correlations
Deep learning models can perform well in complex medical imaging classif...
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10/31/2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
Generalization is an important attribute of machine learning models, par...
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08/03/2022
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
The discovery of patient-specific imaging markers that are predictive of...
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08/01/2022
Information Gain Sampling for Active Learning in Medical Image Classification
Large, annotated datasets are not widely available in medical image anal...
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04/01/2022
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI
Precision medicine for chronic diseases such as multiple sclerosis (MS) ...
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08/02/2021
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Many automatic machine learning models developed for focal pathology (e....
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07/27/2021
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
There are many clinical contexts which require accurate detection and se...
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03/30/2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Segmentation of enhancing tumours or lesions from MRI is important for d...
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03/01/2021