Automated segmentation of lung images using textural echo state neural networks

2017 International Conference on Informatics, Health & Technology (ICIHT) ◽

10.1109/iciht.2017.7899012 ◽

2017 ◽

Cited By ~ 5

Author(s):

Z. Faizal Khan ◽

Abdulaziz S Al Sayyari ◽

Syed Usama Quadri

Keyword(s):

Neural Networks ◽

Automated Segmentation

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Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks

International Journal of Legal Medicine ◽

10.1007/s00414-018-1953-y ◽

2018 ◽

Vol 133 (4) ◽

pp. 1191-1205 ◽

Cited By ~ 7

Author(s):

Paul-Louis Pröve ◽

Eilin Jopp-van Well ◽

Ben Stanczus ◽

Michael M. Morlock ◽

Jochen Herrmann ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Automated Segmentation ◽

Mr Images ◽

Age Assessment

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

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 ◽

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 ◽

Convolutional Neural Networks ◽

Automated Segmentation ◽

Resonance Imaging ◽

Deep Convolutional Neural Networks ◽

The Right

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Automated segmentation of macular edema in OCT using deep neural networks

Medical Image Analysis ◽

10.1016/j.media.2019.05.002 ◽

2019 ◽

Vol 55 ◽

pp. 216-227 ◽

Cited By ~ 10

Author(s):

Junjie Hu ◽

Yuanyuan Chen ◽

Zhang Yi

Keyword(s):

Neural Networks ◽

Macular Edema ◽

Deep Neural Networks ◽

Automated Segmentation

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Improved automated segmentation of human kidney organoids using deep convolutional neural networks

Medical Imaging 2020: Image Processing ◽

10.1117/12.2549830 ◽

2020 ◽

Author(s):

Michael MacDonald ◽

Randy Fennel ◽

Asha Singanamalli ◽

Nelly Cruz ◽

Mohammad YousefHussein ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Human Kidney ◽

Automated Segmentation ◽

Deep Convolutional Neural Networks ◽

Kidney Organoids

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Automated Segmentation of Folk Songs Using Artificial Neural Networks

Proceedings of the International Conference on Neural Computation Theory and Applications ◽

10.5220/0005049101440151 ◽

2014 ◽

Author(s):

Andreas Neocleous ◽

Nicolai Petkov ◽

Christos N. Schizas

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Folk Songs ◽

Automated Segmentation ◽

Artificial Neural

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Automated Segmentation Of Pulmonary Lobes Using Coordination-Guided Deep Neural Networks

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) ◽

10.1109/isbi.2019.8759492 ◽

2019 ◽

Cited By ~ 6

Author(s):

Wenjia Wang ◽

Junxuan Chen ◽

Jie Zhao ◽

Ying Chi ◽

Xuansong Xie ◽

...

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Automated Segmentation

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Fully Automated Segmentation of Alveolar Bone Using Deep Convolutional Neural Networks from Intraoral Ultrasound Images

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8857060 ◽

2019 ◽

Cited By ~ 2

Author(s):

Dat Q. Duong ◽

Kim-Cuong T. Nguyen ◽

Neelambar R. Kaipatur ◽

Edmond H. M. Lou ◽

Michelle Noga ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Alveolar Bone ◽

Ultrasound Images ◽

Automated Segmentation ◽

Deep Convolutional Neural Networks

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Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3012186 ◽

2020 ◽

pp. 1-11

Author(s):

Xiaofeng Qi ◽

Junjie Hu ◽

Lei Zhang ◽

Sen Bai ◽

Zhang Yi

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Deep Neural Networks ◽

Clinical Target Volume ◽

Target Volume ◽

Automated Segmentation ◽

Planning Ct

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Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks

European Radiology ◽

10.1007/s00330-021-08329-3 ◽

2021 ◽

Author(s):

Julia Krüger ◽

Ann-Christin Ostwaldt ◽

Lothar Spies ◽

Benjamin Geisler ◽

Alexander Schlaefer ◽

...

Keyword(s):

Multiple Sclerosis ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Automated Segmentation ◽

Rater Variability ◽

Multiple Sclerosis Patients

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Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks

Fetal, Infant and Ophthalmic Medical Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67561-9_20 ◽

2017 ◽

pp. 177-184 ◽

Cited By ~ 10

Author(s):

Min Chen ◽

Jiancong Wang ◽

Ipek Oguz ◽

Brian L. VanderBeek ◽

James C. Gee

Keyword(s):

Neural Networks ◽

Automated Segmentation ◽

Convolution Neural Networks ◽

Retinal Pathology

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