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02/27/2020
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity
In a broad range of fields it may be desirable to reuse a supervised cla...
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01/23/2020
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms
There has recently been great progress in automatic segmentation of medi...
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11/19/2019
A Framework for Challenge Design: Insight and Deployment Challenges to Address Medical Image Analysis Problems
In this paper we aim to refine the concept of grand challenges in medica...
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10/26/2018
Beyond the Leaderboard: Insight and Deployment Challenges to Address Research Problems
In the medical image analysis field, organizing challenges with associat...
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10/17/2018
Learning an MR acquisition-invariant representation using Siamese neural networks
Generalization of voxelwise classifiers is hampered by differences betwe...
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09/22/2017
MR Acquisition-Invariant Representation Learning
Voxelwise classification is a popular and effective method for tissue qu...
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04/11/2017