Fully automatic detection of deep white matter T1 hypointense lesions in multiple sclerosis-Reference-Cited by-同舟云学术

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Fully automatic detection of deep white matter T1 hypointense lesions in multiple sclerosis

Published:2013-11-11 Issue:23 Volume:58 Page:8323-8337
ISSN:0031-9155
Container-title:Physics in Medicine and Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Spies Lothar,Tewes Anja,Suppa Per,Opfer Roland,Buchert Ralph,Winkler Gerhard,Raji Alaleh

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://stacks.iop.org/0031-9155/58/i=23/a=8323/pdf

Reference38 articles.

1. Hypointense and Hyperintense Lesions on Magnetic Resonance Imaging in Secondary-Progressive MS Patients

2. Automatic segmentation of different-sized white matter lesions by voxel probability estimation

3. A fast diffeomorphic image registration algorithm

4. Voxel-Based Morphometry—The Methods

5. Unified segmentation

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1. Addition of quantitative MRI to the routine clinical care of patients with multiple sclerosis—Results from the MAGNON project;Brain and Behavior;2024-06

2. How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review;NeuroImage: Clinical;2023

3. Slowly expanding lesions relate to persisting black-holes and clinical outcomes in relapse-onset multiple sclerosis;NeuroImage: Clinical;2022

4. Silent 3D MR sequence for quantitative and multicontrast T1 and proton density imaging;Physics in Medicine & Biology;2020-09-14

5. Multimodal Image Analysis for Assessing Multiple Sclerosis and Future Prospects Powered by Artificial Intelligence;Seminars in Ultrasound, CT and MRI;2020-06

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