@inbook{6526071818f3425cb473b840c8de0a8a,
title = "Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth",
abstract = "Neuroimaging studies of structural connectomes typically average the data from many subjects and analyse the average properties of the resulting network. We propose a new framework for individual brain-network structural abnormality detection. The framework uses a graph-based anomaly detection algorithm that allows to detect abnormal structural connectivity on a subject level. The proposed method is generic and can be adapted for a broad range of network abnormality detection problems. In this study, we apply our method to investigate the integrity of white matter tracts of 19-year-old extremely preterm born individuals. We show the feasibility to cast the network abnormality detection problem into a min-cut max-flow problem, and identify consistent abnormal white matter tracts in extremely preterm subjects, including a common network involving the bilateral thalamus and frontal gyri.",
author = "Hassna Irzan and Lucas Fidon and Tom Vercauteren and Sebastien Ourselin and Neil Marlow and Andrew Melbourne",
year = "2020",
doi = "10.1007/978-3-030-60365-6_16",
language = "English",
isbn = "9783030603649",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "164--173",
editor = "Sudre, {Carole H.} and Hamid Fehri and Tal Arbel and Baumgartner, {Christian F.} and Adrian Dalca and Ryutaro Tanno and {Van Leemput}, Koen and Wells, {William M.} and Aristeidis Sotiras and Bartlomiej Papiez and Enzo Ferrante and Sarah Parisot",
booktitle = "Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings",
address = "Germany",
note = "2nd International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the 3rd International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 ; Conference date: 08-10-2020 Through 08-10-2020",
}