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Uncertainty guided semi-supervised segmentation of retinal layers in OCT
  images

Uncertainty guided semi-supervised segmentation of retinal layers in OCT images

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
2 March 2021
S. Sedai
B. Antony
Ravneet Rai
K. Jones
H. Ishikawa
J. Schuman
Gadi Wollstein
R. Garnavi
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Uncertainty guided semi-supervised segmentation of retinal layers in OCT images"

35 / 35 papers shown
Title
SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT
SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCTIEEE Transactions on Medical Imaging (IEEE TMI), 2025
Botond Fazekas
Guilherme Aresta
Philipp Seeböck
Julia Mai
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
60
0
0
25 Sep 2025
Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image Segmentation
Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2025
Han Wu
Chong Wang
Zhiming Cui
88
2
0
29 Jul 2025
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Siteng Ma
Honghui Du
Yu An
Jing Wang
Qinqin Wang
Haochang Wu
Aonghus Lawlor
Ruihai Dong
203
0
0
15 Apr 2025
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised
  Medical Image Segmentation
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Tao Wang
Xinlin Zhang
Yuanbin Chen
Yuanbo Zhou
Yuanbin Chen
Longxuan Zhao
Tong Tong
230
1
0
07 Nov 2024
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image
  Segmentation
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi
Jian Pang
Bingfeng Zhang
Weifeng Liu
267
31
0
01 May 2024
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D
  Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full
  and Sparse Annotations
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations
Hong Liu
Dong Wei
Donghuan Lu
Xiaoying Tang
Liansheng Wang
Yefeng Zheng
109
14
0
04 Dec 2023
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
V. SukeshAdiga
Jose Dolz
H. Lombaert
UQCV
128
34
0
24 Oct 2023
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
199
42
0
09 Oct 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic
  Segmentation
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationInternational Conference on Machine Learning (ICML), 2023
Jianfeng Wang
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
Thomas Lukasiewicz
UQCV
159
9
0
05 Aug 2023
Self-aware and Cross-sample Prototypical Learning for Semi-supervised
  Medical Image Segmentation
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zhenxi Zhang
Ran Ran
Chunna Tian
Heng Zhou
Xin Li
Fan Yang
Zhicheng Jiao
138
41
0
25 May 2023
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical
  Image Segmentation
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2023
Huimin Wu
Xuelong Li
Yiqun Lin
Kwang-Ting Cheng
170
32
0
15 Apr 2023
Probabilistic Domain Adaptation for Biomedical Image Segmentation
Probabilistic Domain Adaptation for Biomedical Image Segmentation
Anwai Archit
Constantin Pape
OOD
227
2
0
21 Mar 2023
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer
  Radiation Treatment from Clinically Available Annotations
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available AnnotationsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Monika Grewal
Dustin van Weersel
H. Westerveld
Peter A. N. Bosman
Tanja Alderliesten
48
2
0
21 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAMLBDL
143
0
0
31 Jan 2023
Curvilinear object segmentation in medical images based on ODoS filter
  and deep learning network
Curvilinear object segmentation in medical images based on ODoS filter and deep learning network
Yuanyuan Peng
Lin Pan
Pengpeng Luan
Hongbin Tu
Xiong Li
MedIm
166
16
0
18 Jan 2023
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
194
123
0
05 Oct 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning
NP-Match: When Neural Processes meet Semi-Supervised LearningInternational Conference on Machine Learning (ICML), 2022
Jianfeng Wang
Thomas Lukasiewicz
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
A. Neophytou
BDL
203
42
0
03 Jul 2022
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using
  disentangled representation with anatomical priors
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priorsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Botond Fazekas
Guilherme Aresta
Dmitrii Lachinov
Sophie Riedl
Julia Mai
U. Schmidt-Erfurth
Hrvoje Bogunović
89
16
0
01 Jul 2022
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric
  Medical Image Segmentation
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Jianfeng Wang
Thomas Lukasiewicz
BDL
89
34
0
18 Jun 2022
Leveraging Labeling Representations in Uncertainty-based Semi-supervised
  Segmentation
Leveraging Labeling Representations in Uncertainty-based Semi-supervised SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
V. SukeshAdiga
Jose Dolz
H. Lombaert
UQCV
81
19
0
10 Mar 2022
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Huimin Wu
Xuelong Li
Kwang-Ting Cheng
184
29
0
22 Nov 2021
Uncertainty-Aware Semi-Supervised Few Shot Segmentation
Uncertainty-Aware Semi-Supervised Few Shot Segmentation
Soopil Kim
Philip Chikontwe
Sang Hyun Park
141
19
0
18 Oct 2021
Segmentation with mixed supervision: Confidence maximization helps
  knowledge distillation
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation
Bingyuan Liu
Christian Desrosiers
Ismail Ben Ayed
Jose Dolz
163
22
0
21 Sep 2021
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and
  Neighboring
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
R. A. Kamraoui
Vinh-Thong Ta
Nicolas Papadakis
Fanny Compaire
J. V. Manjón
Pierrick Coupé
55
6
0
13 Sep 2021
Medical Instrument Segmentation in 3D US by Hybrid Constrained
  Semi-Supervised Learning
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised LearningIEEE journal of biomedical and health informatics (JBHI), 2021
Hongxu Yang
Caifeng Shan
Arthur Bouwman
L. Dekker
Alexander F. Kolen
Peter H. N. de With
71
10
0
30 Jul 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network ModelsIEEE Access (IEEE Access), 2021
Jialin Peng
Ye Wang
VLM
184
71
0
28 Feb 2021
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in
  Optical Coherence Tomography Images
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images
Tinu Theckel Joy
S. Sedai
R. Garnavi
92
5
0
21 Jan 2021
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with
  Reliable Transfer for Cardiac Segmentation
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationIEEE Transactions on Medical Imaging (TMI), 2020
Kang Li
Shujun Wang
Lequan Yu
Pheng-Ann Heng
139
29
0
07 Jan 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become mastersInformation Processing in Medical Imaging (IPMI), 2020
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
162
26
0
15 Dec 2020
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few
  Labels
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few LabelsInternational Conference on Information and Knowledge Management (CIKM), 2020
Valentyn Melnychuk
Evgeniy Faerman
I. Manakov
Thomas Seidl
67
0
0
23 Oct 2020
Double-Uncertainty Weighted Method for Semi-supervised Learning
Double-Uncertainty Weighted Method for Semi-supervised LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Yixin Wang
Yao Zhang
Jiang Tian
Cheng Zhong
Peng Wang
Yang Zhang
Zhiqiang He
UQCV
121
127
0
19 Oct 2020
Bayesian Neural Networks for Uncertainty Estimation of Imaging
  Biomarkers
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
J. Senapati
Abhijit Guha Roy
Sebastian Polsterl
Daniel Gutmann
S. Gatidis
C. Schlett
A. Peters
F. Bamberg
Christian Wachinger
UQCV
138
10
0
28 Aug 2020
DONet: Dual Objective Networks for Skin Lesion Segmentation
DONet: Dual Objective Networks for Skin Lesion Segmentation
Yaxiong Wang
Yunchao Wei
Xueming Qian
Li Zhu
Yi Yang
MedIm
127
7
0
19 Aug 2020
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical
  Image Segmentation
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Yuexiang Li
Jiawei Chen
Xinpeng Xie
Kai Ma
Yefeng Zheng
UQCV
109
107
0
20 Jul 2020
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid
  Constrained Semi-Supervised Learning and Dual-UNet
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet
Hongxu Yang
Caifeng Shan
Alexander F. Kolen
Peter H. N. de With
125
27
0
25 Jun 2020
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