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Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric
  Medical Image Segmentation

Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation

Computer Vision and Pattern Recognition (CVPR), 2022
18 June 2022
Jianfeng Wang
Thomas Lukasiewicz
    BDL
ArXiv (abs)PDFHTML

Papers citing "Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation"

21 / 21 papers shown
Title
PEdger++: Practical Edge Detection via Assembling Cross Information
PEdger++: Practical Edge Detection via Assembling Cross Information
Yuanbin Fu
Liang Li
Xiaojie Guo
56
0
0
16 Aug 2025
Dual Teacher-Student Learning for Semi-supervised Medical Image Segmentation
Dual Teacher-Student Learning for Semi-supervised Medical Image Segmentation
Pengchen Zhang
Alan J.X. Guo
Sipin Luo
Zhe Han
Lin Guo
120
0
0
16 May 2025
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
Hong Zheng
Yucheng Chen
Nan Mu
Xiaoning Li
236
0
0
23 Mar 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
Yichi Zhang
Bohao Lv
Le Xue
Wenbo Zhang
Yuchen Liu
Yu Fu
Yuan Cheng
Yuan Qi
VLMMedIm
236
3
0
28 Feb 2025
A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation
A Bayesian Approach to Weakly-supervised Laparoscopic Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Zhou Zheng
Y. Hayashi
M. Oda
T. Kitasaka
K. Mori
UQCV
82
2
0
11 Oct 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet
  Process
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Yihang Chen
Tsai Hor Chan
Guosheng Yin
Yuming Jiang
Lequan Yu
165
5
0
16 Jul 2024
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic
  Semi-Supervised Medical Image Segmentation
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation
Qixiang Zhang
Haonan Wang
Xuelong Li
119
1
0
10 Jul 2024
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric Uncertainty
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric UncertaintyIEEE Transactions on Medical Imaging (IEEE TMI), 2024
Timo Kaiser
Maximilian Schier
Bodo Rosenhahn
199
2
0
22 Mar 2024
Benefit from public unlabeled data: A Frangi filtering-based pretraining
  network for 3D cerebrovascular segmentation
Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation
Gen Shi
Hao Lu
Hui Hui
Jie Tian
105
1
0
23 Dec 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image
  Segmentation
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationNeural Information Processing Systems (NeurIPS), 2023
Haonan Wang
Xiaomeng Li
177
50
0
17 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
185
17
0
10 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
DHC: Dual-debiased Heterogeneous Co-training Framework for
  Class-imbalanced Semi-supervised Medical Image Segmentation
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Hong Wang
Xuelong Li
137
53
0
22 Jul 2023
Robust Wind Turbine Blade Segmentation from RGB Images in the Wild
Robust Wind Turbine Blade Segmentation from RGB Images in the WildInternational Conference on Information Photonics (ICIP), 2023
Raül Pérez-Gonzalo
Andreas Espersen
Antonio Agudo
50
7
0
26 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
260
19
0
26 Jun 2023
Expectation Maximization Pseudo Labels
Expectation Maximization Pseudo Labels
Moucheng Xu
Yukun Zhou
Chen Jin
M. Groot
Daniel C. Alexander
N. Oxtoby
Yipeng Hu
Joseph Jacob
208
3
0
02 May 2023
Compensation Learning in Semantic Segmentation
Compensation Learning in Semantic Segmentation
Timo Kaiser
Christoph Reinders
Bodo Rosenhahn
NoLa
129
5
0
26 Apr 2023
Fixing Overconfidence in Dynamic Neural Networks
Fixing Overconfidence in Dynamic Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Lassi Meronen
Martin Trapp
Andrea Pilzer
Le Yang
Arno Solin
BDL
248
24
0
13 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
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D
  Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel
  Supervisions
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel SupervisionsIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hongkuan Shi
Zhiwei Wang
Ying Zhou
Dun Li
Xin Yang
Qiang Li
3DV
155
10
0
15 Oct 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
217
226
0
28 Jul 2022
1