Automated brain extraction of multisequence MRI using artificial neural networks-Reference-Cited by-同舟云学术

Automated brain extraction of multisequence MRI using artificial neural networks

Published:2019-08-12 Issue:17 Volume:40 Page:4952-4964
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Isensee Fabian¹²,Schell Marianne³,Pflueger Irada⁴,Brugnara Gianluca³,Bonekamp David⁴,Neuberger Ulf³,Wick Antje⁵,Schlemmer Heinz‐Peter⁴,Heiland Sabine³,Wick Wolfgang⁵⁶,Bendszus Martin³,Maier‐Hein Klaus H.¹,Kickingereder Philipp³^ORCID

Affiliation:

1. Medical Image ComputingGerman Cancer Research Center (DKFZ) Heidelberg Germany

2. Faculty of BiosciencesUniversity of Heidelberg Heidelberg Germany

3. Department of NeuroradiologyHeidelberg University Hospital Heidelberg Germany

4. Department of RadiologyDKFZ Heidelberg Germany

5. Neurology ClinicHeidelberg University Hospital Heidelberg Germany

6. German Cancer Consortium (DKTK)German Cancer Research Center (DKFZ) Heidelberg Germany

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.24750

Reference49 articles.

1. Beers A. Brown J. Chang K. Hoebel K. Gerstner E. Rosen B. Kalpathy‐Cramer J.(2018).DeepNeuro: an open‐source deep learning toolbox for neuroimaging. ArXiv e‐prints.

2. Çiçek Ö. Abdulkadir A. Lienkamp S. S. Brox T. &Ronneberger O.(2016).3D U‐Net: Learning Dense Volumetric Segmentation from Sparse Annotation. In: Ourselin S. Joskowicz L. Sabuncu M. Unal G. Wells W. (eds) Medical Image Computing and Computer‐Assisted Intervention ‐ MICCAI 2016. MICCAI 2016. Lecture Notes in Computer Science vol 9901. Springer Cham.

3. AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages

4. Cortical Surface-Based Analysis

Cited by 369 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. Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images;Information Sciences;2025-01

2. A minimalistic approach to classifying Alzheimer’s disease using simple and extremely small convolutional neural networks;Journal of Neuroscience Methods;2024-11

3. Negligible effect of brain MRI data preprocessing for tumor segmentation;Biomedical Signal Processing and Control;2024-10

4. Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors;European Radiology;2024-09-09

5. IVIM parameters mapping with artificial neural network based on mean deviation prior;Medical Physics;2024-09-06