A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed

Fully automated condyle segmentation using 3D convolutional neural networks

Nayansi Jha
Taehun Kim
Sungwon Ham
Seung-Hak Baek
Sang-Jin Sung
Yoon-Ji Kim
Namkug Kim

November 2022

Abstract The aim of this study was to develop an auto-segmentation algorithm for mandibular condyle ...

Validation of a 3D CBCT-based protocol for the follow-up of mandibular condyle remodeling

Verhelst, Pieter-Jan
Shaheen, Eman
Vasconcelos, Karla de Faria
Van der Cruyssen, Frederic
Shujaat, Sohaib
Coudyzer, Walter
Salmon, Benjamin
Swennen, Gwen
Politis, Constantinus
Jacobs, Reinhilde

January 2020

OBJECTIVES: Three-dimensional models of mandibular condyles provide a way for condylar remodeling fo...

Volumetric Analysis of 700 Mandibular Condyles Based Upon Cone Beam Computed Tomography

Safi, Ali-Farid
Kauke, Martin
Grandoch, Andrea
Nickenig, Hans-Joachim
Zoeller, Joachim E.
Kreppel, Matthias

January 2018

The authors' aim was to provide volumetric data of mandibular condyles based upon cone beam computed...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed

Tong Xi
Ruud Schreurs
Wout J. Heerink
Stefaan J. Bergé
Thomas J. J. Maal

January 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi Tong
Schreurs Ruud
Heerink Wout J.
Bergé Stefaan J.
Maal Thomas J. J.

November 2014

To present and validate a semi-automatic segmentation protocol to enable an accurate 3D reconstructi...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, T.
Schreurs, R.
Heerink, W.J.
Berge, S.J.
Maal, T.J.

January 2014

Contains fulltext : 139095.pdf (publisher's version ) (Open Access)OBJECTIVE: To p...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi Tong
Schreurs Ruud
Heerink Wout J.
Bergé Stefaan J.
Maal Thomas J. J.

November 2014

To present and validate a semi-automatic segmentation protocol to enable an accurate 3D reconstructi...

A novel region-growing based semi-automatic segmentation protocol for three-dimensional condylar reconstruction using cone beam computed tomography (CBCT).

Tong Xi
Ruud Schreurs
Wout J Heerink
Stefaan J Bergé
Thomas J J Maal

OBJECTIVE: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, T.
Schreurs, R.
Heerink, W.J.
Berge, S.J.
Maal, T.J.

January 2014

OBJECTIVE: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Tong Xi (662567)
Ruud Schreurs (662568)
Wout J. Heerink (662569)
Stefaan J. Bergé (144662)
Thomas J. J. Maal (356232)

November 2014

<div><p>Objective</p><p>To present and validate a semi-automatic segmentation protocol to enable an ...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

Validation of a novel semi-automated method for three-dimensional surface rendering of condyles using cone beam computed tomography data

Xi, T.
Loon, B. van
Fudalej, P.S.
Berge, S.J.
Swennen, G.R.J.
Maal, T.J.J.

January 2013

Morphological changes of the condyles are often observed following orthognathic surgery. In addition...

Fully automated condyle segmentation using 3D convolutional neural networks

Nayansi Jha
Taehun Kim
Sungwon Ham
Seung-Hak Baek
Sang-Jin Sung
Yoon-Ji Kim
Namkug Kim

November 2022

Abstract The aim of this study was to develop an auto-segmentation algorithm for mandibular condyle ...

Validation of a 3D CBCT-based protocol for the follow-up of mandibular condyle remodeling

Verhelst, Pieter-Jan
Shaheen, Eman
Vasconcelos, Karla de Faria
Van der Cruyssen, Frederic
Shujaat, Sohaib
Coudyzer, Walter
Salmon, Benjamin
Swennen, Gwen
Politis, Constantinus
Jacobs, Reinhilde

January 2020

OBJECTIVES: Three-dimensional models of mandibular condyles provide a way for condylar remodeling fo...

Volumetric Analysis of 700 Mandibular Condyles Based Upon Cone Beam Computed Tomography

Safi, Ali-Farid
Kauke, Martin
Grandoch, Andrea
Nickenig, Hans-Joachim
Zoeller, Joachim E.
Kreppel, Matthias

January 2018

The authors' aim was to provide volumetric data of mandibular condyles based upon cone beam computed...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed

Tong Xi
Ruud Schreurs
Wout J. Heerink
Stefaan J. Bergé
Thomas J. J. Maal

January 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi Tong
Schreurs Ruud
Heerink Wout J.
Bergé Stefaan J.
Maal Thomas J. J.

November 2014

To present and validate a semi-automatic segmentation protocol to enable an accurate 3D reconstructi...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, T.
Schreurs, R.
Heerink, W.J.
Berge, S.J.
Maal, T.J.

January 2014

Contains fulltext : 139095.pdf (publisher's version ) (Open Access)OBJECTIVE: To p...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi Tong
Schreurs Ruud
Heerink Wout J.
Bergé Stefaan J.
Maal Thomas J. J.

November 2014

To present and validate a semi-automatic segmentation protocol to enable an accurate 3D reconstructi...

A novel region-growing based semi-automatic segmentation protocol for three-dimensional condylar reconstruction using cone beam computed tomography (CBCT).

Tong Xi
Ruud Schreurs
Wout J Heerink
Stefaan J Bergé
Thomas J J Maal

OBJECTIVE: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, T.
Schreurs, R.
Heerink, W.J.
Berge, S.J.
Maal, T.J.

January 2014

OBJECTIVE: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Tong Xi (662567)
Ruud Schreurs (662568)
Wout J. Heerink (662569)
Stefaan J. Bergé (144662)
Thomas J. J. Maal (356232)

November 2014

<div><p>Objective</p><p>To present and validate a semi-automatic segmentation protocol to enable an ...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed Tomography (CBCT)

Xi, Tong
Schreurs, Ruud
Heerink, Wout J.
Berge, Stefaan J.
Maal, Thomas J. J.

November 2014

Objective: To present and validate a semi-automatic segmentation protocol to enable an accurate 3D r...

Validation of a novel semi-automated method for three-dimensional surface rendering of condyles using cone beam computed tomography data

Xi, T.
Loon, B. van
Fudalej, P.S.
Berge, S.J.
Swennen, G.R.J.
Maal, T.J.J.

January 2013

Morphological changes of the condyles are often observed following orthognathic surgery. In addition...

Fully automated condyle segmentation using 3D convolutional neural networks

Nayansi Jha
Taehun Kim
Sungwon Ham
Seung-Hak Baek
Sang-Jin Sung
Yoon-Ji Kim
Namkug Kim

November 2022

Abstract The aim of this study was to develop an auto-segmentation algorithm for mandibular condyle ...

Validation of a 3D CBCT-based protocol for the follow-up of mandibular condyle remodeling

Verhelst, Pieter-Jan
Shaheen, Eman
Vasconcelos, Karla de Faria
Van der Cruyssen, Frederic
Shujaat, Sohaib
Coudyzer, Walter
Salmon, Benjamin
Swennen, Gwen
Politis, Constantinus
Jacobs, Reinhilde

January 2020

OBJECTIVES: Three-dimensional models of mandibular condyles provide a way for condylar remodeling fo...

Volumetric Analysis of 700 Mandibular Condyles Based Upon Cone Beam Computed Tomography

Safi, Ali-Farid
Kauke, Martin
Grandoch, Andrea
Nickenig, Hans-Joachim
Zoeller, Joachim E.
Kreppel, Matthias

January 2018

The authors' aim was to provide volumetric data of mandibular condyles based upon cone beam computed...

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed

Abstract

Extracted data

A Novel Region-Growing Based Semi-Automatic Segmentation Protocol for Three-Dimensional Condylar Reconstruction Using Cone Beam Computed

Abstract

Extracted data

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