Robust Skull Stripping of Clinical Glioblastoma Multiforme Data
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-23626-6_81
Reference12 articles.
1. Fennema-Notestine, C., Ozyurt, I., Clark, C., Morris, S., Bischoff-Grethe, A., Bondi, M., Jernigan, T., Fischl, B., Segonne, F., Shattuck, D., Leahy, R., Rex, D., Toga, A., Zou, K., BIRN, Brown, G.: Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: effects of diagnosis, bias correction, and slice location. Human Brain Mapping 27(2), 99–113 (2006)
2. Shattuck, D., Sandor-Leahy, S., Schaper, K., Rottenberg, D., Leahy, R.: Magnetic resonance image tissue classification using a partial volume model. NeuroImage 13(5), 856–876 (2001)
3. Segonne, F., Dale, A., Busa, E., Glessner, M., Salat, D., Hahn, H., Fischl, B.: A hybrid approach to the skull stripping problem in MRI. Neuroimage 22(3), 1060–1075 (2004)
4. Smith, S.: Fast robust automated brain extraction. Human Brain Mapping 17(3), 143–155 (2002)
5. Iglesias, J., Liu, C., Thompson, P., Tu, Z.: Robust brain extraction across datasets and comparison with publicly available methods. IEEE Transactions on Medical Imaging (in press, 2011)
Cited by 21 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. Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group;Magnetic Resonance in Medicine;2024-01-21
2. Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation;Biomedical Signal Processing and Control;2023-08
3. Applicable artificial intelligence for brain disease: A survey;Neurocomputing;2022-09
4. Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients;Frontiers in Neuroimaging;2022-04-25
5. A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques;INT J NONLINEAR ANAL;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3