Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Type: Preprint

Publication Date: 2021-07-06

Citations: 2

Locations

  • arXiv (Cornell University) - View

Similar Works

Action Title Year Authors
+ Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps 2021 Samuel Budd
Matthew Sinclair
Thomas A. Day
Athanasios Vlontzos
Jeremy Tan
Tianrui Liu
Jaqueline Matthew
Emily Skelton
John Simpson
Reza Razavi
+ PDF Chat Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps 2021 Samuel Budd
Matthew Sinclair
Thomas G. Day
Athanasios Vlontzos
Jeremy Tan
Tianrui Liu
Jacqueline Matthew
Emily Skelton
John Simpson
Reza Razavi
+ PDF Chat Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome 2021 Elisa Chotzoglou
Thomas G. Day
Jeremy Tan
Jacqueline Matthew
David Lloyd
Reza Razavi
John L. Simpson
Bernhard Kainz
+ Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome 2020 Elisa Chotzoglou
Thomas A. Day
Jeremy Tan
Jacqueline Matthew
David Lloyd
Reza Razavi
John Simpson
Bernhard Kainz
+ Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions 2018 Rima Arnaout
Lara Curran
Erin Chinn
Yili Zhao
Anita J. Moon‐Grady
+ Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening 2020 Jeremy Tan
Anselm Au
Qingjie Meng
Sandy FinesilverSmith
John Simpson
Daniel Rueckert
Reza Razavi
Thomas G. Day
David Lloyd
Bernhard Kainz
+ PDF Chat Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validation 2022 Abhi Lad
Adithya Narayan
Hari Shankar
Shefali Jain
Pooja Vyas
Divya Singh
Nivedita Hegde
Jagruthi Atada
Jens Thang
Saw Shier Nee
+ Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation 2022 Abhi Lad
Adithya Narayan
Hari Shankar
Shefali Jain
Pooja Punjani Vyas
Divya Singh
Nivedita Hegde
Jagruthi Atada
Jens Thang
Saw Shier Nee
+ PDF Chat Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI 2023 Paula Ramirez Gilliland
Alena Uus
Milou P.M. van Poppel
Irina Grigorescu
Johannes K. Steinweg
David Lloyd
Kuberan Pushparajah
Andrew P. King
Maria Deprez
+ Label-free segmentation from cardiac ultrasound using self-supervised learning 2022 Danielle L. Ferreira
Zaynaf Salaymang
Rima Arnaout
+ PDF Chat UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets 2024 Adrien Meyer
Aditya Murali
Didier Mutter
Nicolas Padoy
+ Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view 2022 Veronika A. Zimmer
Alberto Gómez
Emily Skelton
Robert Wright
Gavin Wheeler
Shujie Deng
Nooshin Ghavami
Karen G. Lloyd
Jacqueline Matthew
Bernhard Kainz
+ Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View 2022 Veronika A. Zimmer
Alberto Gómez
Emily Skelton
Robert Wright
Gavin Wheeler
Shujie Deng
Nooshin Ghavami
Karen G. Lloyd
Jacqueline Matthew
Bernhard Kainz
+ PDF Chat Multiview and multiclass image segmentation using deep learning in fetal echocardiography 2021 Ken C. L. Wong
Elena Sinkovskaya
Alfred Abuhamad
Tanveer Syeda-Mahmood
+ Automated Detection of Congenital HeartDisease in Fetal Ultrasound Screening 2020 Jeremy Tan
Anselm Au
Qingjie Meng
Sandy FinesilverSmith
John Simpson
Daniel Rueckert
Reza Razavi
Thomas G. Day
David Lloyd
Bernhard Kainz
+ PDF Chat AtlasSeg: Atlas Prior Guided Dual-UNet for Cortical Segmentation in Fetal Brain MRI 2024 Haoan Xu
Tianshu Zheng
Xinyi Xu
Shen Yao
Jiwei Sun
Cong Sun
Guangbin Wang
Dan Wu
+ Unlocking the Heart Using Adaptive Locked Agnostic Networks 2023 Sylwia Majchrowska
Anders Hildeman
Philip Teare
Tom Diethe
+ A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis 2022 Maria Chiara Fiorentino
Francesca Pia Villani
Mariachiara Di Cosmo
Emanuele Frontoni
Sara Moccia
+ PDF Chat A review on deep-learning algorithms for fetal ultrasound-image analysis 2022 Maria Chiara Fiorentino
Francesca Pia Villani
Mariachiara Di Cosmo
Emanuele Frontoni
Sara Moccia
+ Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels 2020 Kelly Payette
Raimund Kottke
András Jakab

Works Cited by This (9)

Action Title Year Authors
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
+ SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound 2017 Christian F. Baumgartner
Konstantinos Kamnitsas
Jacqueline Matthew
Tara P. Fletcher
Sandra Smith
Lisa M. Koch
Bernhard Kainz
Daniel Rueckert
+ Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions 2018 Rima Arnaout
Lara Curran
Erin Chinn
Yili Zhao
Anita J. Moon‐Grady
+ PDF Chat Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology 2019 James R. Clough
İlkay Öksüz
Nick Byrne
Julia A. Schnabel
Andrew P. King
+ PDF Chat Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks 2018 Matthew Sinclair
Christian F. Baumgartner
Jacqueline Matthew
Wenjia Bai
Juan Cerrolaza Martinez
Yuanwei Li
Sandra Smith
Caroline L. Knight
Bernhard Kainz
Joseph V. Hajnal
+ Topology-Preserving Deep Image Segmentation 2019 Xiao Hu
Fuxin Li
Dimitris Samaras
Chao Chen
+ PDF Chat Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers 2019 Samuel Budd
Matthew Sinclair
Bishesh Khanal
Jacqueline Matthew
David Lloyd
Alberto Gómez
Nicolas Toussaint
Emma C. Robinson
Bernhard Kainz
+ PDF Chat Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening 2020 Jeremy Tan
Anselm Au
Qingjie Meng
Sandy FinesilverSmith
John Simpson
Daniel Rueckert
Reza Razavi
Thomas G. Day
David Lloyd
Bernhard Kainz
+ Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks 2022 Matthew Sinclair
Andreas Schuh
Karl Hahn
Kersten Petersen
Ying Bai
James Batten
Michiel Schaap
Ben Glocker