Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans-Reference-Cited by-同舟云学术

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Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans

Published:2021-10 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Nguyen Nguyen P.,Yoo Youngjin,Chekkoury Andrei,Eibenberger Eva,Re Thomas J.,Das Jyotipriya,Balachandran Abishek,Lui Yvonne W.,Sanelli Pina C.,Schroeppel Thomas J.,Bodanapally Uttam,Nicolaou Savvas,White Tommi A.,Bunyak Filiz,Comaniciu Dorin,Gibson Eli

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9607382/9607383/09607802.pdf?arnumber=9607802

Cited by 3 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. Three dimensional convolutional neural network-based automated detection of midline shift in traumatic brain injury cases from head computed tomography scans;Journal of Neurosciences in Rural Practice;2024-02-29

2. Standardized measurement of mid-surface shift of brain based on deep Hough transform;Computerized Medical Imaging and Graphics;2023-09

3. Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification;Lecture Notes in Computer Science;2023

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