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Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters
  Using Multi-Task Deep Learning

Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
31 August 2019
Zahra Sobhaninia
Shima Rafiei
Ali Emami
N. Karimi
Kayvan Najarian
S. Samavi
S. M. Reza Soroushmehr
ArXiv (abs)PDFHTML

Papers citing "Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning"

16 / 16 papers shown
Title
Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective
Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective
Xing Yao
Ahana Gangopadhyay
Hsi-Ming Chang
Ravi Soni
0
0
0
07 Nov 2025
Towards Objective Obstetric Ultrasound Assessment: Contrastive Representation Learning for Fetal Movement Detection
Towards Objective Obstetric Ultrasound Assessment: Contrastive Representation Learning for Fetal Movement Detection
Talha Ilyas
Duong Nhu
Allison Thomas
Arie Levin
Lim Wei Yap
...
Maya Reddy
Euan Wallace
Wenlong Cheng
Zongyuan Ge
Faezeh Marzbanrad
36
0
0
23 Oct 2025
U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation
U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation
Pranava Seth
Deepak Mishra
Veena Iyer
130
0
0
25 Nov 2024
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation
Chaoyu Chen
Xin Yang
Rusi Chen
Junxuan Yu
Liwei Du
Jian Wang
Xindi Hu
Yan Cao
Yingying Liu
Dong Ni
114
2
0
26 Aug 2023
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network
  Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical FeaturesIEEE Access (IEEE Access), 2023
B. Prabakaran
Paul Hamelmann
Erik Ostrowski
Mohamed Bennai
128
16
0
14 Mar 2023
FUSQA: Fetal Ultrasound Segmentation Quality Assessment
FUSQA: Fetal Ultrasound Segmentation Quality AssessmentInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Sevim Cengiz
Ibrahim Almakk
Mohammad Yaqub
95
2
0
08 Mar 2023
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the
  BERT Model Boosted by an Improved ABC Algorithm
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC AlgorithmComputational Intelligence and Neuroscience (CIN), 2022
Hamid Gharagozlou
J. Mohammadzadeh
A. Bastanfard
S. S. Ghidary
81
38
0
07 Jan 2023
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG
  Images with Curriculum Learning
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum LearningComputer Vision and Pattern Recognition (CVPR), 2022
Soumen Basu
Mayank Gupta
Pratyaksha Rana
Pankaj Gupta
Chetan Arora
111
41
0
25 Apr 2022
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
M. C. Fiorentino
Francesca Pia Villani
M. D. Cosmo
Emanuele Frontoni
S. Moccia
117
130
0
28 Jan 2022
Towards deep observation: A systematic survey on artificial intelligence
  techniques to monitor fetus via Ultrasound Images
Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound ImagesiScience (iScience), 2022
M. Alzubaidi
Marco Agus
Khalid Alyafei
Khaled A. Althelaya
Uzair Shah
Alaa A. Abdalrazaq
Mohammed Anbar
Zafar Iqbal
Mowafa J Househ
94
23
0
17 Jan 2022
Brain Tumor Classification by Cascaded Multiscale Multitask Learning
  Framework Based on Feature Aggregation
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Zahra Sobhaninia
N. Karimi
P. Khadivi
S. Samavi
131
3
0
28 Dec 2021
A Dual Adversarial Calibration Framework for Automatic Fetal Brain
  Biometry
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry
Yuan Gao
Lok Hin Lee
Richard Droste
R. Craik
Sridevi Beriwal
A. Papageorghiou
A. Noble
68
4
0
28 Aug 2021
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound
  Planes
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
Sophia Bano
B. Dromey
Francisco Vasconcelos
Raffaele Napolitano
A. David
Donald Peebles
Danail Stoyanov
170
29
0
12 Jul 2021
Brain Tumor Classification Using Medial Residual Encoder Layers
Brain Tumor Classification Using Medial Residual Encoder Layers
Zahra Sobhaninia
N. Karimi
P. Khadivi
Roshank Roshandel
S. Samavi
MedIm
67
0
0
01 Nov 2020
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple
  Image Scales
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Zahra Sobhaninia
Safiyeh Rezaei
N. Karimi
Ali Emami
S. Samavi
69
33
0
05 Feb 2020
Localization of Fetal Head in Ultrasound Images by Multiscale View and
  Deep Neural Networks
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural NetworksInternational Computer Society of Iran Computer Conference (CSIC), 2019
Zahra Sobhaninia
Ali Emami
N. Karimi
S. Samavi
73
33
0
03 Nov 2019
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