Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images

Medical Physics ◽

10.1002/mp.15432 ◽

2021 ◽

Author(s):

Szentimrey Zachary ◽

de Ribaupierre Sandrine ◽

Fenster Aaron ◽

Ukwatta Eranga

Keyword(s):

3D Ultrasound ◽

Ultrasound Images ◽

Cerebral Ventricles

Download Full-text

Automatic deep learning-based segmentation of neonatal cerebral ventricles from 3D ultrasound images

Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging ◽

10.1117/12.2581749 ◽

2021 ◽

Author(s):

Zachary Szentimrey ◽

Sandrine de Ribaupierre ◽

Aaron Fenster ◽

Eranga Ukwatta

Keyword(s):

Deep Learning ◽

3D Ultrasound ◽

Ultrasound Images ◽

Cerebral Ventricles

Download Full-text

Automatic segmentation approach to extracting neonatal cerebral ventricles from 3D ultrasound images

Medical Image Analysis ◽

10.1016/j.media.2016.06.038 ◽

2017 ◽

Vol 35 ◽

pp. 181-191 ◽

Cited By ~ 26

Author(s):

Wu Qiu ◽

Yimin Chen ◽

Jessica Kishimoto ◽

Sandrine de Ribaupierre ◽

Bernard Chiu ◽

...

Keyword(s):

Automatic Segmentation ◽

3D Ultrasound ◽

Ultrasound Images ◽

Cerebral Ventricles ◽

Segmentation Approach

Download Full-text

Longitudinal Analysis of Pre-Term Neonatal Cerebral Ventricles From 3D Ultrasound Images Using Spatial-Temporal Deformable Registration

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2016.2643635 ◽

2017 ◽

Vol 36 (4) ◽

pp. 1016-1026 ◽

Cited By ~ 3

Author(s):

Wu Qiu ◽

Yimin Chen ◽

Jessica Kishimoto ◽

Sandrine de Ribaupierre ◽

Bernard Chiu ◽

...

Keyword(s):

Longitudinal Analysis ◽

3D Ultrasound ◽

Deformable Registration ◽

Ultrasound Images ◽

Cerebral Ventricles

Download Full-text

Segmentation of common and internal carotid arteries from 3D ultrasound images based on adaptive triple loss

Medical Physics ◽

10.1002/mp.15127 ◽

2021 ◽

Author(s):

Mingjie Jiang ◽

Yuan Zhao ◽

Bernard Chiu

Keyword(s):

Carotid Arteries ◽

Internal Carotid ◽

3D Ultrasound ◽

Ultrasound Images ◽

Internal Carotid Arteries

Download Full-text

Development and evaluation of a semiautomatic 3D segmentation technique of the carotid arteries from 3D ultrasound images

10.1117/12.348576 ◽

1999 ◽

Cited By ~ 4

Author(s):

Jeremy D. Gill ◽

Hanif M. Ladak ◽

David A. Steinman ◽

Aaron Fenster

Keyword(s):

Carotid Arteries ◽

3D Ultrasound ◽

Ultrasound Images ◽

3D Segmentation ◽

Segmentation Technique

Download Full-text

Comparison of 3D deformable models for in vivo measurements of mouse embryo from 3D ultrasound images

IEEE Ultrasonics Symposium, 2004 ◽

10.1109/ultsym.2004.1417830 ◽

2005 ◽

Cited By ~ 2

Author(s):

Bo Qiu ◽

P. Clarysse ◽

J. Montagnat ◽

M. Janier ◽

D. Vray

Keyword(s):

Mouse Embryo ◽

3D Ultrasound ◽

Deformable Models ◽

Ultrasound Images ◽

In Vivo Measurements

Download Full-text

Automatic needle localization in 3D ultrasound images for brachytherapy

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) ◽

10.1109/isbi.2018.8363787 ◽

2018 ◽

Cited By ~ 3

Author(s):

Hatem Younes ◽

Sandrine Voros ◽

Jocelyne Troccaz

Keyword(s):

3D Ultrasound ◽

Ultrasound Images ◽

Needle Localization

Download Full-text

Prostate boundary segmentation from 3D ultrasound images

Medical Physics ◽

10.1118/1.1586267 ◽

2003 ◽

Vol 30 (7) ◽

pp. 1648-1659 ◽

Cited By ~ 59

Author(s):

Ning Hu ◽

Dónal B. Downey ◽

Aaron Fenster ◽

Hanif M. Ladak

Keyword(s):

3D Ultrasound ◽

Ultrasound Images

Download Full-text

Accuracy of a semi-automatic technique for segmentation of the carotid arteries from 3D ultrasound images

Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. No.99CH37015) ◽

10.1109/iembs.1999.804312 ◽

2003 ◽

Author(s):

J.D. Gill ◽

H. Ladak ◽

D.A. Steinman ◽

A. Fenster

Keyword(s):

Carotid Arteries ◽

3D Ultrasound ◽

Ultrasound Images ◽

Automatic Technique

Download Full-text

Multiple Relaxation Time Lattice Boltzmann Models for Multigrid Phase-Field Segmentation of Tumors in 3D Ultrasound Images

SIAM Journal on Imaging Sciences ◽

10.1137/18m123462x ◽

2019 ◽

Vol 12 (3) ◽

pp. 1324-1346 ◽

Cited By ~ 1

Author(s):

Khac L. Nguyen ◽

Mohamed M. Tekitek ◽

Philippe Delachartre ◽

Michel Berthier

Keyword(s):

Relaxation Time ◽

Phase Field ◽

Lattice Boltzmann ◽

3D Ultrasound ◽

Ultrasound Images ◽

Multiple Relaxation Time ◽

Lattice Boltzmann Models

Download Full-text