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05/05/2023
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
Image-based precision medicine aims to personalize treatment decisions b...
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11/15/2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
We propose a hierarchically structured variational inference model for a...
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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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08/11/2022
Heatmap Regression for Lesion Detection using Pointwise Annotations
In many clinical contexts, detecting all lesions is imperative for evalu...
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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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04/11/2022
Segmentation-Consistent Probabilistic Lesion Counting
Lesion counts are important indicators of disease severity, patient prog...
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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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08/03/2018