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Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching

IEEE transactions on medical imaging, 2016-04, Vol.35 (4), p.1077-1089

2016

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Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests

IEEE transactions on medical imaging, 2016-06, Vol.35 (6), p.1532-1543

2016

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Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling

IEEE transactions on medical imaging, 2015-08, Vol.34 (8), p.1705-1718

2015

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Spine Segmentation in Medical Images Using Manifold Embeddings and Higher-Order MRFs

IEEE transactions on medical imaging, 2013-07, Vol.32 (7), p.1227-1238

2013

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Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration

IEEE transactions on medical imaging, 2016-02, Vol.35 (2), p.589-604

2016

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Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics

IEEE transactions on medical imaging, 2008-04, Vol.27 (4), p.481-494

2008

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Automated 3D Motion Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models

IEEE transactions on medical imaging, 2010-01, Vol.29 (1), p.1-11

2010

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Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions

IEEE transactions on medical imaging, 2003-02, Vol.22 (2), p.155-169

2003

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A Skeleton and Deformation Based Model for Neonatal Pial Surface Reconstruction in Preterm Newborns

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.352-355

2019

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Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.479-483

2018

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Deformable Medical Image Registration: A Survey

IEEE transactions on medical imaging, 2013-07, Vol.32 (7), p.1153-1190

2013

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Learning a Probabilistic Model for Diffeomorphic Registration

IEEE transactions on medical imaging, 2019-09, Vol.38 (9), p.2165-2176

2019

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Normal-Based Interpolating Subdivision for the Geometric Representation of Deformable Models

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.1839-1843

2019

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An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures

IEEE transactions on medical imaging, 2001-04, Vol.20 (4), p.257-270

2001

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Segmentation, registration, and measurement of shape variation via image object shape

IEEE transactions on medical imaging, 1999-10, Vol.18 (10), p.851-865

1999

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Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models

IEEE transactions on medical imaging, 2004-11, Vol.23 (11), p.1344-1352

2004

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A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

Medical image analysis, 2016-05, Vol.30, p.108-119

2016

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A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

IEEE transactions on medical imaging, 2016-01, Vol.35 (1), p.109-118

2016

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Elastic model-based segmentation of 3-D neuroradiological data sets

IEEE transactions on medical imaging, 1999-10, Vol.18 (10), p.828-839

1999

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Image-Based Variational Meshing

IEEE transactions on medical imaging, 2011-01, Vol.30 (1), p.11-21

2011

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Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

IEEE transactions on medical imaging, 2017-01, Vol.36 (1), p.288-300

2017

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TransMatch: A Transformer-based Multilevel Dual-Stream Feature Matching Network for Unsupervised Deformable Image Registration

IEEE transactions on medical imaging, 2024-01, Vol.43 (1), p.1-1

2024

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Vessel surface reconstruction with a tubular deformable model

IEEE transactions on medical imaging, 2001-12, Vol.20 (12), p.1411-1421

2001

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Biventricular myocardial strains via nonrigid registration of AnFigatomical NURBS models

IEEE transactions on medical imaging, 2006-01, Vol.25 (1), p.94-112

2006

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HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images

IEEE transactions on medical imaging, 2021-08, Vol.40 (8), p.2118-2128

2021

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Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests

Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling

Spine Segmentation in Medical Images Using Manifold Embeddings and Higher-Order MRFs

Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics

Automated 3D Motion Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models

Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions

A Skeleton and Deformation Based Model for Neonatal Pial Surface Reconstruction in Preterm Newborns

Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood

Deformable Medical Image Registration: A Survey

Learning a Probabilistic Model for Diffeomorphic Registration

Normal-Based Interpolating Subdivision for the Geometric Representation of Deformable Models

An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures

Segmentation, registration, and measurement of shape variation via image object shape

Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images

Elastic model-based segmentation of 3-D neuroradiological data sets

Image-Based Variational Meshing

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

TransMatch: A Transformer-based Multilevel Dual-Stream Feature Matching Network for Unsupervised Deformable Image Registration

Vessel surface reconstruction with a tubular deformable model

Biventricular myocardial strains via nonrigid registration of AnFigatomical NURBS models

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images

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