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Placenta Segmentation in Ultrasound Imaging: Addressing Sources of
  Uncertainty and Limited Field-of-View

Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View

29 June 2022
V. Zimmer
A. Gómez
E. Skelton
Robert Wright
G. Wheeler
S. Deng
N. Ghavami
K. Lloyd
Jacqueline Matthew
Bernhard Kainz
Daniel Rueckert
Joseph V. Hajnal
J. Schnabel
ArXivPDFHTML

Papers citing "Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View"

6 / 6 papers shown
Title
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from
  Intrapartum Ultrasound Images
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images
Jieyun Bai
Zihao Zhou
Zhanhong Ou
Gregor Koehler
Raphael Stock
...
Mei Zhong
Gaowen Chen
Víctor M. Campello
Yaosheng Lu
Karim Lekadir
29
5
0
17 Sep 2024
Interactive Segmentation Model for Placenta Segmentation from 3D
  Ultrasound images
Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images
Hao Li
Baris U. Oguz
Gabriel Arenas
Xing Yao
Jiacheng Wang
Alison Pouch
Brett Byram
Nadav Schwartz
Ipek Oguz
27
1
0
10 Jul 2024
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using
  Fusion Strategies and Deep Learning
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
Sonit Singh
Gordon Stevenson
Brendan Mein
Alec Welsh
Arcot Sowmya
8
0
0
17 Jan 2024
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
35
20
0
09 Oct 2023
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
64
437
0
06 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1