Author:
Spagnolo Federico,Depeursinge Adrien,Schädelin Sabine,Akbulut Aysenur,Müller Henning,Barakovic Muhamed,Melie-Garcia Lester,Bach Cuadra Meritxell,Granziera Cristina
Subject
Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging
Reference186 articles.
1. Multi-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIs;Abdullah;Open Biomed. Eng. J.,2012
2. Early Stage Detection of Multiple Sclerosis using FCNN. In 2022 10th International Conference on Emerging;Abhale;Trends in Engineering and Technology - Signal and Information Processing,2022
3. Abolvardi, A., Hamey, L., and Ho-Shon, K. (2019). Registration Based Data Augmentation for Multiple Sclerosis Lesion Segmentation. In 2019 Digital Image Computing: Techniques and Applications (DICTA), pages 1–5. doi:10.1109/DICTA47822.2019.8946022.
4. Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data;Ackaouy;Front. Comput. Neurosci.,2020
5. Multiple sclerosis lesion segmentation from brain MRI using U-Net based on wavelet pooling;Alijamaat;Int. J. Comput. Assist. Radiol. Surg.,2021