Automated Image Quality Evaluation of Structural Brain Magnetic Resonance Images using Deep Convolutional Neural Networks

Quality Evaluation ◽

Deep Convolutional Neural Networks ◽

Image Quality Evaluation ◽

Structural Brain

Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images

IET Computer Vision ◽

10.1049/iet-cvi.2016.0482 ◽

2017 ◽

Vol 11 (8) ◽

pp. 643-649 ◽

Cited By ~ 10

Author(s):

Xulei Yang ◽

Zeng Zeng ◽

Su Yi

Keyword(s):

Neural Networks ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Automatic Segmentation ◽

Simultaneous brain structure segmentation in magnetic resonance images using deep convolutional neural networks

Radiological Physics and Technology ◽

10.1007/s12194-021-00633-3 ◽

2021 ◽

Author(s):

Tomoko Maruyama ◽

Norio Hayashi ◽

Yusuke Sato ◽

Toshihiro Ogura ◽

Masumi Uehara ◽

...

Keyword(s):

Neural Networks ◽

Magnetic Resonance ◽

Brain Structure ◽

Super-resolution of Magnetic Resonance Images using deep Convolutional Neural Networks

2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW) ◽

10.1109/icce-china.2017.7990985 ◽

2017 ◽

Cited By ~ 4

Author(s):

Kathiravan Srinivasan ◽

Avinash Ankur ◽

Anant Sharma

Keyword(s):

Neural Networks ◽

Magnetic Resonance ◽

Super Resolution ◽

Editorial on “Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality”

Journal of Magnetic Resonance Imaging ◽

10.1002/jmri.27913 ◽

2021 ◽

Author(s):

Valdair F. Muglia ◽

Antonio Carlos Westphalen

Keyword(s):

Magnetic Resonance Imaging ◽

Neural Networks ◽

Magnetic Resonance ◽

Image Quality ◽

Multiparametric Magnetic Resonance Imaging

Automated Classification ◽

Resonance Imaging ◽

Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors

Neuroinformatics ◽

10.1007/s12021-020-09499-z ◽

2021 ◽

Author(s):

Jose Bernal ◽

◽

Sergi Valverde ◽

Kaisar Kushibar ◽

Mariano Cabezas ◽

...

Keyword(s):

Neural Networks ◽

Magnetic Resonance ◽

Magnetic Resonance Images

Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489604 ◽

2018 ◽

Author(s):

Karl Thurnhofer-Hemsi ◽

Ezequiel Lopez-Rubio ◽

Nuria Roe-Vellve ◽

Enrique Dominguez ◽

Miguel A. Molina-Cabello

Keyword(s):

Neural Networks ◽

Magnetic Resonance ◽

Super Resolution ◽

Magnetic Resonance Images

Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation

2018 24th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2018.8545754 ◽

2018 ◽

Cited By ~ 4

Author(s):

Yunzhi Wang ◽

Bin Zheng ◽

Dashan Gao ◽

Jiao Wang

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Magnetic Resonance ◽

Cancer Detection ◽

Fully Convolutional Neural Networks

Prostate Cancer Detection ◽

Initial Investigation ◽

Advances in Multimedia Information Processing – PCM 2018 - Lecture Notes in Computer Science ◽

A Data-Driven No-Reference Image Quality Assessment via Deep Convolutional Neural Networks

10.1007/978-3-030-00767-6_34 ◽

2018 ◽

pp. 361-371

Author(s):

Yezhao Fan ◽

Yuchen Zhu ◽

Guangtao Zhai ◽

Jia Wang ◽

Jing Liu

Keyword(s):

Neural Networks ◽

Image Quality ◽

Quality Assessment ◽

Image Quality Assessment ◽

Data Driven ◽

Reference Image ◽

Lecture Notes in Computer Science - Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge ◽

Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks

10.1007/978-3-030-93722-5_37 ◽

2022 ◽

pp. 344-351

Author(s):

Kumaradevan Punithakumar ◽

Adam Carscadden ◽

Michelle Noga

Keyword(s):

Magnetic Resonance Imaging ◽

Neural Networks ◽

Magnetic Resonance ◽

Right Ventricle ◽

Automated Segmentation ◽

Resonance Imaging ◽

Deep Convolutional Neural Networks ◽

The Right

Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks

Spine ◽

10.1097/brs.0000000000003377 ◽

2020 ◽

Vol 45 (12) ◽

pp. 804-812 ◽

Cited By ~ 1

Author(s):

Dongkyu Won ◽

Hyun-Joo Lee ◽

Suk-Joong Lee ◽

Sang Hyun Park

Keyword(s):

Magnetic Resonance Imaging ◽

Neural Networks ◽

Magnetic Resonance ◽

Spinal Stenosis ◽

Resonance Imaging ◽