Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry-Reference-Cited by-同舟云学术

Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry

Published:2023-01 Issue: Volume:103 Page:102157
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Clèrigues Albert,Valverde Sergi,Salvi Joaquim,Oliver Arnau,Lladó Xavier

Funder

Gobierno de España Ministerio de Ciencia e Innovación

Gobierno de España Ministerio de Ciencia, Innovación y Universidades

Institució Catalana de Recerca i Estudis Avançats

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference39 articles.

1. Armanious, K., Mecky, Y., Gatidis, S., Yang, B., 2019. Adversarial inpainting of medical image modalities. In: Proceedings of the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3267–3271.

2. Evaluating and reducing the impact of white matter lesions on brain volume measurements;Battaglini;Hum. Brain Mapp.,2012

3. Association of regional gray matter volume loss and progression of white matter lesions in multiple sclerosis — a longitudinal voxel-based morphometry study;Bendfeldt;NeuroImage,2009

4. Cerebral atrophy measurements using jacobian integration: comparison with the boundary shift integral;Boyes;NeuroImage,2006

5. Longitudinal multiple sclerosis lesion segmentation data resource;Carass;Data Brief,2017

Cited by 4 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. Clinical applications of deep learning in neuroinflammatory diseases: A scoping review;Revue Neurologique;2024-05

2. Enhancing image steganalysis accuracy: A concert comparison of U-Net++ and AG-Net models;AIP Conference Proceedings;2024

3. Adaptive Critical Region Extraction Net via relationship modeling for bone age assessment;Biomedical Signal Processing and Control;2023-09

4. CarveMix: A simple data augmentation method for brain lesion segmentation;NeuroImage;2023-05