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20182022
most citedExploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation

3 citations · 6 across the 4 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

eess.IV2021

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation

Brennan Nichyporuk, Jillian Cardinell, Justin Szeto +4

Many automatic machine learning models developed for focal pathology (e.g. lesions, tumours) detection and segmentation perform well, but do not generalize as well to new patient c…

eess.IV2021★ 1 cited

Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting

Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold +1

There are many clinical contexts which require accurate detection and segmentation of all focal pathologies (e.g. lesions, tumours) in patient images. In cases where there are a mi…