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Mutual Information-based Disentangled Neural Networks for Classifying
  Unseen Categories in Different Domains: Application to Fetal Ultrasound
  Imaging
v1v2 (latest)

Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

IEEE Transactions on Medical Imaging (TMI), 2020
30 October 2020
Qingjie Meng
Jacqueline Matthew
V. Zimmer
Alberto Gómez
D. Lloyd
Daniel Rueckert
Bernhard Kainz
    OOD
ArXiv (abs)PDFHTML

Papers citing "Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging"

11 / 11 papers shown
Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation
Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation
Yingkai Wang
Yaoyao Zhu
Xiuding Cai
Yuhao Xiao
Haotian Wu
Yu Yao
OOD
187
0
0
31 Jul 2025
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
Madison Cooley
Shandian Zhe
Robert M. Kirby
Varun Shankar
460
1
0
04 Jun 2024
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler
  Signal
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler SignalIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023
Zhongliang Jiang
Felix Duelmer
Nassir Navab
213
18
0
15 May 2023
Adnexal Mass Segmentation with Ultrasound Data Synthesis
Adnexal Mass Segmentation with Ultrasound Data Synthesis
Clara Lebbos
J. Barcroft
Jeremy Tan
J. Müller
Matthew Baugh
Athanasios Vlontzos
S. Saso
Bernhard Kainz
160
2
0
25 Sep 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
195
153
0
28 Jan 2022
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
159
4
0
28 Aug 2021
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODDRL
842
92
0
26 Aug 2021
A New Semi-supervised Learning Benchmark for Classifying View and
  Diagnosing Aortic Stenosis from Echocardiograms
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from EchocardiogramsMachine Learning in Health Care (MLHC), 2021
Zhe Huang
Gary Long
B. Wessler
M. C. Hughes
154
34
0
30 Jul 2021
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation
  Person Re-Identification
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-IdentificationKnowledge-Based Systems (KBS), 2021
Huafeng Li
Kaixiong Xu
Jinxing Li
Guangming Lu
Yong-mei Xu
Zhengtao Yu
David C. Zhang
285
32
0
26 Jun 2021
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of
  Multi-Center LGE MRIs
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
Lei Li
V. Zimmer
Julia A. Schnabel
Xiahai Zhuang
236
29
0
16 Jun 2021
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.4K
5,122
0
17 Feb 2017
1
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