Logistic Regression–Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation-Reference-Cited by-同舟云学术

Logistic Regression–Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation

Published:2022-06 Issue:3 Volume:31 Page:31-39
ISSN:1536-1004
Container-title:Topics in Magnetic Resonance Imaging
language:en
Short-container-title:

Author:

Dieckhaus Henry,Meijboom Rozanna,Okar Serhat,Wu Tianxia,Parvathaneni Prasanna,Mina Yair,Chandran Siddharthan,Waldman Adam D.,Reich Daniel S.,Nair Govind

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging

Reference27 articles.

1. Neuroimaging biomarkers for Alzheimer's disease;Marquez;Mol Neurodegener,2019

2. Assessing treatment outcomes in multiple sclerosis trials and in the clinical setting;Tur;Nat Rev Neurol,2018

3. Advances in brain imaging in multiple sclerosis;Cortese;Ther Adv Neurol Disord,2019

4. White matter lesions in patients with localization-related epilepsy;Jansen;Invest Radiol.,2008

5. Comparison of multiple sclerosis lesions at 1.5 and 3.0 Tesla;Sicotte;Invest Radiol,2003

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning for MRI Segmentation and Molecular Subtyping in Glioblastoma: Critical Aspects from an Emerging Field;Biomedicines;2024-08-16

2. Clinical applications of deep learning in neuroinflammatory diseases: A scoping review;Revue Neurologique;2024-05

3. Neuroimaging characterization of multiple sclerosis lesions in pediatric patients: an exploratory radiomics approach;Frontiers in Neuroscience;2024-02-02

4. A Privacy Preserving Computer-aided Medical Diagnosis Framework with Outsourced Model;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

5. Pseudo-Label Assisted nnU-Net enables automatic segmentation of 7T MRI from a single acquisition;Frontiers in Neuroimaging;2023-12-01