Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings-Reference-Cited by-同舟云学术

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings

Published:2024-02 Issue: Volume:92 Page:103066
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Bano Sophia^ORCID,Casella Alessandro,Vasconcelos Francisco,Qayyum Abdul,Benzinou Abdesslam,Mazher Moona,Meriaudeau Fabrice,Lena Chiara,Cintorrino Ilaria Anita,De Paolis Gaia Romana,Biagioli Jessica,Grechishnikova Daria,Jiao Jing,Bai Bizhe,Qiao Yanyan,Bhattarai Binod,Gaire Rebati Raman,Subedi Ronast,Vazquez Eduard,Płotka Szymon,Lisowska Aneta,Sitek Arkadiusz,Attilakos George,Wimalasundera Ruwan,David Anna L.,Paladini Dario,Deprest Jan,De Momi Elena,Mattos Leonardo S.,Moccia Sara,Stoyanov Danail

Funder

Royal Academy of Engineering

Horizon 2020

UCLH Biomedical Research Centre

Wellcome Trust

EPSRC

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference56 articles.

1. Robust fetoscopic mosaicking from deep learned flow fields;Alabi;Int. J. Comput. Assist. Radiol. Surg.,2022

2. Automated vasculature extraction from placenta images;Almoussa,2011

3. FetReg: Placental vessel segmentation and registration in fetoscopy challenge dataset;Bano,2021

4. Placental vessel-guided hybrid framework for fetoscopic mosaicking;Bano;Comput. Methods Biomech. Biomed. Eng.: Imaging Visual.,2022

5. Deep placental vessel segmentation for fetoscopic mosaicking;Bano,2020

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1. Learning-based keypoint registration for fetoscopic mosaicking;International Journal of Computer Assisted Radiology and Surgery;2023-12-09