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  • Produktbild: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging
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Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Aus der Reihe Lecture Notes in Computational Vision and Biomechanics

147,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.10.2016

Abbildungen

XVII, 100 illus., schwarz-weiss Illustrationen

Herausgeber

Jianhua Yao + weitere

Verlag

Springer

Seitenzahl

259

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

429 g

Auflage

Softcover reprint of the original 1st edition 2015

Sprache

Englisch

ISBN

978-3-319-38599-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.10.2016

Abbildungen

XVII, 100 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

259

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

429 g

Auflage

Softcover reprint of the original 1st edition 2015

Sprache

Englisch

ISBN

978-3-319-38599-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging
  • Produktbild: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

  • Preface.- Workshop Organization.- Computer Aided Diagnosis and Intervention.- Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications, by Holger Roth, Jianhua Yao, Le, James Stieger, Joseph Burns, Ronald Summers.- Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis, by William Thong, Hubert Labelle, Jesse Shen, Stefan Parent, Samuel Kadoury.- An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans, by Jianfei Liu, Jackie Wu, FangFang Yin, John Kirkpatrick, Alvin Cabrera, Yaorong Ge.- Portable optically tracked ultrasound system for scoliosis measurement, by Guillermo Carbajal, Álvaro Gómez, Gabor Fichtinger, Tamas Ungi.- Spine Segmentation.- Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data, by Daniel Forsberg.- Segmentation of Lumbar Vertebrae Slices from CT Images, by Hugo Hutt, Richard Everson, Judith Meakin.- Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images, by Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Detailed Vertebral Segmentation using Part-Based Decomposition and Conditional Shape Models, by Marco Pereañez, Karim Lekadir, Corné Hoogendoorn, Isaac Castro Mateos, Alejandro Frangi.- MR Image Processing.- Automatic Segmentation of the Spinal Cord using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features, by Simon Pezold, Ketut Fundana, Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger, Philippe Cattin.- Automated Radiological Measurement of Spinal MRI, by Meelis Lootus, Timor Kadir, Andrew Zisserman.-  Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Images,  by Xiao Dong, Guoyan Zheng.-Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation, by Rabia Haq, Rifat Aras, Roderick Borgie, David Besachio, Michel Audette.-  Localization.-  Localisation of Vertebrae on DXA Images using Constrained Local Models with Random Forest Regression Voting, by Paul Bromiley, Judith Adams, Tim Cootes.- Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans, by Jiri Hladuvka, David Major, Katja Bühler.- Modeling.- Area- and Angle-preserving Parametrization for Vertebra Surface Mesh, by Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazame.- Contour models for descriptive patient-specific neuro-anatomical modeling: towards a digital brainstem atlas, by Nirmal Patel, Sharmin Sultana, Michel Audette.- Segmentation Challenge.- Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae, by Daniel Forsberg.- Lumbar and thoracic spine segmentation using a statistical multi-object shape+pose model,  by Alexander Seitel, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi.- Vertebrae Segmentation in 3D CT Images based on a Variational Framework,  by Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler, Thomas Pock.- Interpolation-Based Shape-Constrained Deformable Model Approach for Segmentation of Vertebrae from CT Spine Images,  by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo, Tomaz Vrtovec.- 3D Vertebra segmentation by feature selection Active Shape Model, by Isaac Castro Mateos, Jose Pozo Soler, Alejandro Frangi.- Report of Vertebra Segmentation Challenge in 2014 MICCAI Workshop on Computational Spine Imaging, by Jianhua Yao,  Shuo Li.