@inproceedings{a23d2eea516043c6b86533ec5aba6e61,
title = "Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI",
abstract = "The Irregularity Age Map (IAM) for the unsupervised assessment of brain white matter hyperintensities (WMH) opens several opportunities in machine learning-based MRI analysis, including transfer task adaptation learning in the segmentation and prediction of brain lesion progression and regression. The lack of need for manual labels is useful for transfer learning. Whereas the nature of IAM itself can be exploited for predicting lesion progression/regression. In this study, we propose the use of task adaptation transfer learning for WMH segmentation using CNN through weakly-training UNet and UResNet using the output from IAM and the use of IAM for predicting patterns of WMH progression and regression.",
author = "Muhammad Rachmadi and {Valdes Hernandez}, Maria and Taku Komura",
year = "2018",
month = sep,
day = "13",
doi = "10.1007/978-3-030-00320-3_11",
language = "English",
isbn = "978-3-030-00319-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Cham",
pages = "85--93",
booktitle = "PRIME: International Workshop on PRedictive Intelligence In MEdicine",
note = "PRedictive Intelligence in MEdicine 2018, PRIME-MICCAI 2018 ; Conference date: 16-09-2018 Through 16-09-2018",
url = "https://basira-lab.com/events-workshops/prime-miccai18/",
}