Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642366192, 9783642366208

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Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_4 ◽

2013 ◽

pp. 29-37 ◽

Cited By ~ 2

Author(s):

Tobias Gass ◽

Gábor Székely ◽

Orcun Goksel

Keyword(s):

Supervised Segmentation

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Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_5 ◽

2013 ◽

pp. 38-47 ◽

Cited By ~ 5

Author(s):

Andres Arias ◽

Jens Petersen ◽

Arna van Engelen ◽

Hui Tang ◽

Mariana Selwaness ◽

...

Keyword(s):

Carotid Artery ◽

Graph Cuts ◽

Artery Wall ◽

Carotid Artery Wall ◽

Surface Graph

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Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_12 ◽

2013 ◽

pp. 114-123 ◽

Cited By ~ 8

Author(s):

Ehab Essa ◽

Xianghua Xie ◽

Igor Sazonov ◽

Perumal Nithiarasu ◽

Dave Smith

Keyword(s):

Graph Cut ◽

Shape Prior ◽

Prior Model

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Real-Time 2D/3D Deformable Registration Using Metric Learning

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_1 ◽

2013 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Chen-Rui Chou ◽

Stephen Pizer

Keyword(s):

Real Time ◽

Metric Learning ◽

Deformable Registration

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Robust Dense Endoscopic Stereo Reconstruction for Minimally Invasive Surgery

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_25 ◽

2013 ◽

pp. 254-262 ◽

Cited By ~ 10

Author(s):

Sylvain Bernhardt ◽

Julien Abi-Nahed ◽

Rafeef Abugharbieh

Keyword(s):

Minimally Invasive Surgery ◽

Minimally Invasive ◽

Invasive Surgery ◽

Stereo Reconstruction

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Automatic Event Detection within Thrombus Formation Based on Integer Programming

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_21 ◽

2013 ◽

pp. 215-224

Author(s):

Loic Peter ◽

Olivier Pauly ◽

Sjoert B. G. Jansen ◽

Peter A. Smethurst ◽

Willem H. Ouwehand ◽

...

Keyword(s):

Integer Programming ◽

Event Detection ◽

Thrombus Formation ◽

Automatic Event Detection

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Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_7 ◽

2013 ◽

pp. 59-69 ◽

Cited By ~ 2

Author(s):

Kiryl Chykeyuk ◽

Mohammad Yaqub ◽

J. Alison Noble

Keyword(s):

Random Forests ◽

Global Shape ◽

Shape Constraints

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Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_15 ◽

2013 ◽

pp. 142-154 ◽

Cited By ~ 3

Author(s):

Matthias Schneider ◽

Sven Hirsch ◽

Gábor Székely ◽

Bruno Weber ◽

Bjoern H. Menze

Keyword(s):

Random Forests ◽

Steerable Filters ◽

Vessel Detection ◽

Orthogonal Subspace

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Pipeline for Tracking Neural Progenitor Cells

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_16 ◽

2013 ◽

pp. 155-164

Author(s):

Jacob S. Vestergaard ◽

Anders L. Dahl ◽

Peter Holm ◽

Rasmus Larsen

Keyword(s):

Progenitor Cells ◽

Neural Progenitor Cells ◽

Neural Progenitor

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Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_28 ◽

2013 ◽

pp. 283-292 ◽

Cited By ~ 1

Author(s):

Loïc Le Folgoc ◽

Hervé Delingette ◽

Antonio Criminisi ◽

Nicholas Ayache

Keyword(s):

Shape Analysis

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Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas

Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts

Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut

Real-Time 2D/3D Deformable Registration Using Metric Learning

Robust Dense Endoscopic Stereo Reconstruction for Minimally Invasive Surgery

Automatic Event Detection within Thrombus Formation Based on Integer Programming

Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests

Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering

Pipeline for Tracking Neural Progenitor Cells

Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science
Latest Publications