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

9783030137359, 9783030137366

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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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Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery

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

10.1007/978-3-030-13736-6_3 ◽

2019 ◽

pp. 29-40 ◽

Cited By ~ 2

Author(s):

Houssem-Eddine Gueziri ◽

D. Louis Collins

Keyword(s):

Spine Surgery ◽

Ultrasound Images ◽

Operative Ultrasound

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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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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

Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery

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
Latest Publications