Lecture Notes in Computer Science - Computational Methods and Clinical Applications for Spine Imaging
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(FIVE YEARS 14)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030137359, 9783030137366

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge

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

10.1007/978-3-030-13736-6_14 ◽

2019 ◽

pp. 163-171

Author(s):

Guodong Zeng ◽

Daniel Belavy ◽

Shuo Li ◽

Guoyan Zheng

Keyword(s):

Intervertebral Disc ◽

Grand Challenge ◽

Mr Images ◽

Segmentation Methods

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Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing

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

10.1007/978-3-030-13736-6_12 ◽

2019 ◽

pp. 144-153

Author(s):

Chang Liu ◽

Liang Zhao

Keyword(s):

Intervertebral Disc ◽

Geometric Constraint ◽

Post Processing ◽

Mr Images ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Multi Scale

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Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms

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

10.1007/978-3-030-13736-6_13 ◽

2019 ◽

pp. 154-162

Author(s):

Nedelcho Georgiev ◽

Asen Asenov

Keyword(s):

Lumbar Spine ◽

Automatic Segmentation ◽

Spine Mri

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Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning

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

10.1007/978-3-030-13736-6_8 ◽

2019 ◽

pp. 90-102

Author(s):

Michel A. Audette ◽

Jerome Schmid ◽

Craig Goodmurphy ◽

Michael Polanco ◽

Sebastian Bawab ◽

...

Keyword(s):

Scoliosis Surgery ◽

Surface Approach ◽

Surgery Planning ◽

Predictive Simulation ◽

Simulation Based

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IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet

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

10.1007/978-3-030-13736-6_11 ◽

2019 ◽

pp. 130-143 ◽

Cited By ~ 4

Author(s):

Jose Dolz ◽

Christian Desrosiers ◽

Ismail Ben Ayed

Keyword(s):

Intervertebral Disc

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Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

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

10.1007/978-3-030-13736-6_10 ◽

2019 ◽

pp. 119-129

Author(s):

Yunhe Gao

Keyword(s):

Deep Learning ◽

Intervertebral Disc ◽

Mr Images ◽

Learning Framework

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Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models

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

10.1007/978-3-030-13736-6_5 ◽

2019 ◽

pp. 53-65

Author(s):

Paul A. Bromiley ◽

Eleni P. Kariki ◽

Timothy F. Cootes

Keyword(s):

Error Estimation ◽

Appearance Model ◽

Model Segmentation

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Intervertebral Disc Segmentation Using Mathematical Morphology—A CNN-Free Approach

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

10.1007/978-3-030-13736-6_9 ◽

2019 ◽

pp. 105-118 ◽

Cited By ~ 1

Author(s):

Edwin Carlinet ◽

Thierry Géraud

Keyword(s):

Intervertebral Disc ◽

Mathematical Morphology

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Automated Grading of Modic Changes Using CNNs – Improving the Performance with Mixup

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

10.1007/978-3-030-13736-6_4 ◽

2019 ◽

pp. 41-52

Author(s):

Dimitrios Damopoulos ◽

Daniel Haschtmann ◽

Tamás F. Fekete ◽

Guoyan Zheng

Keyword(s):

Modic Changes ◽

Automated Grading

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Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI

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

10.1007/978-3-030-13736-6_7 ◽

2019 ◽

pp. 77-89

Author(s):

Jakub Ceranka ◽

Sabrina Verga ◽

Frédéric Lecouvet ◽

Thierry Metens ◽

Johan de Mey ◽

...

Keyword(s):

Whole Body ◽

Whole Body Mri

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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

Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge

Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing

Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms

Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning

IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet

Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models

Intervertebral Disc Segmentation Using Mathematical Morphology—A CNN-Free Approach

Automated Grading of Modic Changes Using CNNs – Improving the Performance with Mixup

Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI

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