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

9783319741123, 9783319741130

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Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps

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

10.1007/978-3-319-74113-0_1 ◽

2018 ◽

pp. 1-11

Author(s):

Ilker Hacihaliloglu

Keyword(s):

Signal Transmission ◽

Local Phase ◽

Phase Information

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Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features

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

10.1007/978-3-319-74113-0_6 ◽

2018 ◽

pp. 59-71 ◽

Cited By ~ 1

Author(s):

Dimitrios Damopoulos ◽

Ben Glocker ◽

Guoyan Zheng

Keyword(s):

Ct Images ◽

Context Features ◽

Automatic Localization

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3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density

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

10.1007/978-3-319-74113-0_5 ◽

2018 ◽

pp. 48-58

Author(s):

Uroš Petković ◽

Robert Korez ◽

Stefan Parent ◽

Samuel Kadoury ◽

Tomaž Vrtovec

Keyword(s):

Cobb Angle ◽

Angle Measurements ◽

Mesh Models

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Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model

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

10.1007/978-3-319-74113-0_9 ◽

2018 ◽

pp. 95-107 ◽

Cited By ~ 1

Author(s):

Robert Korez ◽

Boštjan Likar ◽

Franjo Pernuš ◽

Tomaž Vrtovec

Keyword(s):

Ct Images

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Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients

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

10.1007/978-3-319-74113-0_7 ◽

2018 ◽

pp. 72-84 ◽

Cited By ~ 2

Author(s):

Marta Bianca Maria Ranzini ◽

Michael Ebner ◽

M. Jorge Cardoso ◽

Anastasia Fotiadou ◽

Tom Vercauteren ◽

...

Keyword(s):

Hip Arthroplasty

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Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume

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

10.1007/978-3-319-74113-0_8 ◽

2018 ◽

pp. 85-94 ◽

Cited By ~ 1

Author(s):

Yoshito Otake ◽

Kohei Miyamoto ◽

Axel Ollivier ◽

Futoshi Yokota ◽

Norio Fukuda ◽

...

Keyword(s):

High Resolution ◽

Muscle Fiber ◽

Fiber Structure

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Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling

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

10.1007/978-3-319-74113-0_12 ◽

2018 ◽

pp. 133-147

Author(s):

Paul A. Bromiley ◽

Eleni P. Kariki ◽

Judith E. Adams ◽

Timothy F. Cootes

Keyword(s):

Vertebral Fractures ◽

Osteoporotic Vertebral Fractures

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Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach

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

10.1007/978-3-319-74113-0_11 ◽

2018 ◽

pp. 120-132

Author(s):

Bryce A. Besler ◽

Andrew S. Michalski ◽

Nils D. Forkert ◽

Steven K. Boyd

Keyword(s):

Computed Tomography

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DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images

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

10.1007/978-3-319-74113-0_13 ◽

2018 ◽

pp. 148-159 ◽

Cited By ~ 3

Author(s):

Guodong Zeng ◽

Guoyan Zheng

Keyword(s):

Intervertebral Disc ◽

Automatic Segmentation ◽

Mr Images ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Multi Scale

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Automated Characterization of Body Composition and Frailty with Clinically Acquired CT

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

10.1007/978-3-319-74113-0_3 ◽

2018 ◽

pp. 25-35 ◽

Cited By ~ 3

Author(s):

Peijun Hu ◽

Yuankai Huo ◽

Dexing Kong ◽

J. Jeffrey Carr ◽

Richard G. Abramson ◽

...

Keyword(s):

Body Composition

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Computational Methods and Clinical Applications in Musculoskeletal Imaging - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps

Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features

3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density

Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model

Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients

Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume

Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling

Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach

DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images

Automated Characterization of Body Composition and Frailty with Clinically Acquired CT

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