Computational Methods and Clinical Applications for Spine Imaging: 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

✍ Scribed by Guoyan Zheng, Daniel Belavy, Yunliang Cai, Shuo Li

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 187
Series: Lecture Notes in Computer Science 11397
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.
The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging.

✦ Table of Contents

Front Matter ....Pages i-x
Front Matter ....Pages 1-1
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU (Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe Cattin)....Pages 3-14
Predicting Scoliosis in DXA Scans Using Intermediate Representations (Amir Jamaludin, Timor Kadir, Emma Clark, Andrew Zisserman)....Pages 15-28
Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery (Houssem-Eddine Gueziri, D. Louis Collins)....Pages 29-40
Automated Grading of Modic Changes Using CNNs – Improving the Performance with Mixup (Dimitrios Damopoulos, Daniel Haschtmann, Tamás F. Fekete, Guoyan Zheng)....Pages 41-52
Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models (Paul A. Bromiley, Eleni P. Kariki, Timothy F. Cootes)....Pages 53-65
Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networks (Huan Wang, Ran Gu, Zhongyu Li)....Pages 66-76
Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI (Jakub Ceranka, Sabrina Verga, Frédéric Lecouvet, Thierry Metens, Johan de Mey, Jef Vandemeulebroucke)....Pages 77-89
Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning (Michel A. Audette, Jerome Schmid, Craig Goodmurphy, Michael Polanco, Sebastian Bawab, Austin Tapp et al.)....Pages 90-102
Front Matter ....Pages 103-103
Intervertebral Disc Segmentation Using Mathematical Morphology—A CNN-Free Approach (Edwin Carlinet, Thierry Géraud)....Pages 105-118
Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images (Yunhe Gao)....Pages 119-129
IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet (Jose Dolz, Christian Desrosiers, Ismail Ben Ayed)....Pages 130-143
Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing (Chang Liu, Liang Zhao)....Pages 144-153
Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms (Nedelcho Georgiev, Asen Asenov)....Pages 154-162
Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge (Guodong Zeng, Daniel Belavy, Shuo Li, Guoyan Zheng)....Pages 163-171
Back Matter ....Pages 173-181

✦ Subjects

Computer Science; Image Processing and Computer Vision; Health Informatics; Computer Communication Networks; Computer Hardware

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