Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging
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Published By Springer International Publishing

9783319550497, 9783319550503

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Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_7 ◽

2016 ◽

pp. 77-84 ◽

Cited By ~ 1

Author(s):

Mattias P. Heinrich ◽

Ozan Oktay

Keyword(s):

Intervertebral Disc ◽

Vantage Point ◽

Hough Forests

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Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_12 ◽

2016 ◽

pp. 125-134 ◽

Cited By ~ 1

Author(s):

Longwei Fang ◽

Zuowei Wang ◽

Zhiqiang Chen ◽

Fengzeng Jian ◽

Huiguang He

Keyword(s):

3D Registration ◽

X Ray

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Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_1 ◽

2016 ◽

pp. 3-15 ◽

Cited By ~ 6

Author(s):

S. M. Masudur Rahman Al Arif ◽

Michael Gundry ◽

Karen Knapp ◽

Greg Slabaugh

Keyword(s):

Cervical Vertebrae ◽

Active Shape Model ◽

Shape Model ◽

Active Shape

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Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_9 ◽

2016 ◽

pp. 92-101 ◽

Cited By ~ 4

Author(s):

Xing Ji ◽

Guoyan Zheng ◽

Li Liu ◽

Dong Ni

Keyword(s):

Intervertebral Disc ◽

Mr Images ◽

Fully Automatic ◽

Automatic Localization

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Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_8 ◽

2016 ◽

pp. 85-91 ◽

Cited By ~ 3

Author(s):

Xiaomeng Li ◽

Qi Dou ◽

Hao Chen ◽

Chi-Wing Fu ◽

Pheng-Ann Heng

Keyword(s):

Intervertebral Disc ◽

Multi Scale

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Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_11 ◽

2016 ◽

pp. 116-124 ◽

Cited By ~ 3

Author(s):

Yinong Wang ◽

Jianhua Yao ◽

Joseph E. Burns ◽

Jiamin Liu ◽

Ronald M. Summers

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pet Ct

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Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_5 ◽

2016 ◽

pp. 51-63 ◽

Cited By ~ 5

Author(s):

Paul A. Bromiley ◽

Eleni P. Kariki ◽

Judith E. Adams ◽

Timothy F. Cootes

Keyword(s):

Random Forest ◽

Ct Images ◽

Random Forest Regression ◽

Fully Automatic

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Manual and Computer-Assisted Pedicle Screw Placement Plans: A Quantitative Comparison

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_10 ◽

2016 ◽

pp. 105-115 ◽

Cited By ~ 2

Author(s):

Dejan Knez ◽

Janez Mohar ◽

Robert J. Cirman ◽

Boštjan Likar ◽

Franjo Pernuš ◽

...

Keyword(s):

Pedicle Screw ◽

Quantitative Comparison ◽

Screw Placement ◽

Computer Assisted ◽

Pedicle Screw Placement

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Global Localization and Orientation of the Cervical Spine in X-ray Images

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_6 ◽

2016 ◽

pp. 64-76 ◽

Cited By ~ 1

Author(s):

S. M. Masudur Rahman Al Arif ◽

Michael Gundry ◽

Karen Knapp ◽

Greg Slabaugh

Keyword(s):

Cervical Spine ◽

Global Localization ◽

X Ray

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Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging ◽

10.1007/978-3-319-55050-3_3 ◽

2016 ◽

pp. 26-37 ◽

Cited By ~ 1

Author(s):

Antal Horváth ◽

Simon Pezold ◽

Matthias Weigel ◽

Katrin Parmar ◽

Oliver Bieri ◽

...

Keyword(s):

Spinal Cord ◽

Gray Matter ◽

Shape Prior ◽

Variational Segmentation

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Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine ImagingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion

Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration

Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae

Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN

Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation

Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks

Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting

Manual and Computer-Assisted Pedicle Screw Placement Plans: A Quantitative Comparison

Global Localization and Orientation of the Cervical Spine in X-ray Images

Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior

Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging
Latest Publications