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Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_35openalex-snapshot
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot
Domain-Adversarial Training of Neural Networks
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Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks
inferredcites →https://doi.org/10.1007/978-3-319-75541-0_20openalex-snapshot
Multi-label Whole Heart Segmentation Using CNNs and Anatomical Label Configurations
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1016/j.media.2016.02.006openalex-snapshot
Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI
inferredcites →https://doi.org/10.1016/j.media.2017.05.001openalex-snapshot
3D deeply supervised network for automated segmentation of volumetric medical images
inferredcites →https://doi.org/10.1016/s0378-3758(00)00115-4openalex-snapshot
Improving predictive inference under covariate shift by weighting the log-likelihood function
inferredcites →https://doi.org/10.1038/nature21056openalex-snapshot
Dermatologist-level classification of skin cancer with deep neural networks
inferredcites →https://doi.org/10.1109/3dv.2016.79openalex-snapshot
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2011.5995347openalex-snapshot
Unbiased look at dataset bias
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.18openalex-snapshot
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/iccvw.2017.315openalex-snapshot
Deep Domain Adaptation by Geodesic Distance Minimization
inferredcites →https://doi.org/10.1109/msp.2014.2347059openalex-snapshot
Visual Domain Adaptation: A survey of recent advances
inferredcites →https://doi.org/10.48550/arxiv.1411.1792openalex-snapshot
How transferable are features in deep neural networks?
inferredcites →https://doi.org/10.48550/arxiv.1412.3474openalex-snapshot
Deep Domain Confusion: Maximizing for Domain Invariance
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1702.05464openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.7551/mitpress/7921.003.0013openalex-snapshot
Covariate Shift by Kernel Mean Matching
inferredcites →https://doi.org/10.7551/mitpress/9780262170055.003.0008openalex-snapshot
Covariate Shift by Kernel Mean Matching
What points at this work
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inferred← citeshttps://doi.org/10.1002/mp.15827openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/mp.17752openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/mp.70118openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/mrm.28794openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/widm.1510openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-00919-9_17openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-13969-8_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-32239-7_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-32245-8_84openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-32692-0_69openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-33391-1_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-34120-6_59openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-37429-7_63openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-39074-7_27openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-58545-7_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-59710-8_41openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-59710-8_43openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-59710-8_44openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-59830-3_62openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-60548-3_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-60633-6_42openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-62469-9_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-68107-4_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-68107-4_29openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-68238-5_37openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-87196-3_37openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-87199-4_19openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-87199-4_20openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-87199-4_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-16434-7_48openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_47openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-16449-1_71openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-17899-3_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-19803-8_25openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-23443-9_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-43907-0_42openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-53827-8_15openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-72114-4_36openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-78169-8_18openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-88977-6_8openalex-snapshot
Video Foundation Model for Medical 3D Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-031-90080-8_3openalex-snapshot
Mathematical Foundations of Social Intelligence
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inferred← citeshttps://doi.org/10.1007/978-981-99-8435-0_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-021-06064-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-023-08939-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-024-09427-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00530-023-01246-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10278-026-02351-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-020-01956-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-021-11814-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-022-12630-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-023-16400-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11227-026-08727-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11263-025-02389-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11517-022-02702-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11517-024-03195-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11548-020-02144-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11548-021-02504-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12652-021-03426-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13735-022-00240-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13755-026-00474-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s42235-022-00234-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-819740-0.00014-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.artmed.2021.102078openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.artmed.2024.103054openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2021.108156openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108729openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104203openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106028openalex-snapshot
Source-free unsupervised adaptive segmentation for knee joint MRI
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106801openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2020.105645openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106531openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106949openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104269openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.105063openalex-snapshot
Generative adversarial networks in medical image segmentation: A review
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.105144openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106650openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107912openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109248openalex-snapshot
MITS-GAN: Safeguarding medical imaging from tampering with generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109669openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.110903openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compmedimag.2019.101688openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compmedimag.2020.101785openalex-snapshot
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2020.101793openalex-snapshot
The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2022.102166openalex-snapshot
Reciprocal assistance of intravascular imaging in three-dimensional stent reconstruction: Using cross-modal translation based on disentanglement representation
inferred← citeshttps://doi.org/10.1016/j.cpet.2021.06.002openalex-snapshot
Role of Artificial Intelligence in Theranostics
inferred← citeshttps://doi.org/10.1016/j.crmeth.2021.100107openalex-snapshot
A deep-learning toolkit for visualization and interpretation of segmented medical images
inferred← citeshttps://doi.org/10.1016/j.ejmp.2025.105050openalex-snapshot
Imaging-aided diagnosis and treatment based on artificial intelligence for pulmonary nodules: A review
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105707openalex-snapshot
Multimodal salient object detection via adversarial learning with collaborative generator
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126304openalex-snapshot
C 3 R: Category contrastive adaptation and consistency regularization for cross-modality medical image segmentation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129986openalex-snapshot
Universal source-free domain adaptation method with feature decomposition for machinery fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132873openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijar.2021.04.010openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.imu.2025.101706openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104470openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103145openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107245openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109155openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110344openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111502openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2019.101552openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2020.101732openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2020.101766openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2020.101862openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2021.102135openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2021.102136openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2021.102147openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2022.102628openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2022.102656openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2022.102664openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2023.102764openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2023.102969openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2023.103031openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2024.103343openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2026.104056openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.media.2026.104241openalex-snapshot
MI2-Net: A Mamba-based network for joint incomplete multi-modal and incomplete label MRI image segmentation
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.099openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2020.04.154openalex-snapshot
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.02.088openalex-snapshot
Visible-infrared person re-identification with data augmentation via cycle-consistent adversarial network
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.09.005openalex-snapshot
AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2019.03.026openalex-snapshot
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114070openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2023.123416openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ultrasmedbio.2022.09.010openalex-snapshot
Improving GAN Learning Dynamics for Thyroid Nodule Segmentation
inferred← citeshttps://doi.org/10.1016/j.ymeth.2021.05.007openalex-snapshot
A self-supervised feature-standardization-block for cross-domain lung disease classification
inferred← citeshttps://doi.org/10.1017/9781139061773.004openalex-snapshot
Instance-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.005openalex-snapshot
Feature-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.006openalex-snapshot
Model-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.007openalex-snapshot
Relation-Based Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.008openalex-snapshot
Heterogeneous Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.009openalex-snapshot
Adversarial Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.010openalex-snapshot
Transfer Learning in Reinforcement Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.013openalex-snapshot
Transitive Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.014openalex-snapshot
AutoTL: Learning to Transfer Automatically
inferred← citeshttps://doi.org/10.1017/9781139061773.018openalex-snapshot
Privacy-Preserving Transfer Learning
inferred← citeshttps://doi.org/10.1017/9781139061773.019openalex-snapshot
Transfer Learning in Computer Vision
inferred← citeshttps://doi.org/10.1017/9781139061773.020openalex-snapshot
Transfer Learning in Natural Language Processing
inferred← citeshttps://doi.org/10.1017/9781139061773.021openalex-snapshot
Transfer Learning in Dialogue Systems
inferred← citeshttps://doi.org/10.1017/9781139061773.022openalex-snapshot
Transfer Learning in Recommender Systems
inferred← citeshttps://doi.org/10.1017/9781139061773.023openalex-snapshot
Transfer Learning in Bioinformatics
inferred← citeshttps://doi.org/10.1017/9781139061773.024openalex-snapshot
Transfer Learning in Activity Recognition
inferred← citeshttps://doi.org/10.1017/9781139061773.025openalex-snapshot
Transfer Learning in Urban Computing
inferred← citeshttps://doi.org/10.1038/s41524-022-00703-zopenalex-snapshot
Addressing materials’ microstructure diversity using transfer learning
inferred← citeshttps://doi.org/10.1038/s41598-021-90294-4openalex-snapshot
Domain adaptation for segmentation of critical structures for prostate cancer therapy
inferred← citeshttps://doi.org/10.1038/s41598-025-93824-6openalex-snapshot
A semi-supervised domain adaptive medical image segmentation method based on dual-level multi-scale alignment
inferred← citeshttps://doi.org/10.1088/1742-6596/2010/1/012026openalex-snapshot
Improved unsupervised domain adaptation network based on category attention
inferred← citeshttps://doi.org/10.1093/jcde/qwac029openalex-snapshot
Supervised segmentation with domain adaptation for small sampled orbital CT images
inferred← citeshttps://doi.org/10.1108/ir-05-2018-0112openalex-snapshot
Road segmentation of cross-modal remote sensing images using deep segmentation network and transfer learning
inferred← citeshttps://doi.org/10.1109/access.2019.2929258openalex-snapshot
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation
inferred← citeshttps://doi.org/10.1109/access.2019.2959611openalex-snapshot
Prostate MR Image Segmentation With Self-Attention Adversarial Training Based on Wasserstein Distance
inferred← citeshttps://doi.org/10.1109/access.2020.3000666openalex-snapshot
Interactive Translation in Echocardiography Training System With Enhanced Cycle-GAN
inferred← citeshttps://doi.org/10.1109/access.2021.3062380openalex-snapshot
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
inferred← citeshttps://doi.org/10.1109/access.2021.3063634openalex-snapshot
Unsupervised Domain Adaptation Network With Category-Centric Prototype Aligner for Biomedical Image Segmentation
inferred← citeshttps://doi.org/10.1109/access.2021.3129333openalex-snapshot
Global Context and Enhanced Feature Guided Residual Refinement Network for 3D Cardiovascular Image Segmentation
inferred← citeshttps://doi.org/10.1109/access.2024.3360930openalex-snapshot
Terahertz Data Extraction and Analysis Based on Deep Learning Techniques for Emerging Applications
inferred← citeshttps://doi.org/10.1109/access.2024.3378575openalex-snapshot
A Framework for Segmentation and Classification of Blood Cells Using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/access.2026.3657610openalex-snapshot
Cell Segmentation Without Annotation by Unsupervised Domain Adaptation Based on Cooperative Self-Learning
inferred← citeshttps://doi.org/10.1109/acet67282.2025.11430252openalex-snapshot
Medical Image Segmentation Using Deep Learning
inferred← citeshttps://doi.org/10.1109/bibm49941.2020.9313558openalex-snapshot
An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation
inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669620openalex-snapshot
AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995034openalex-snapshot
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356136openalex-snapshot
DATCA: Dual-Anchor Guided Tri-Domain Contrastive Alignment for Cross-Modality Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/cisat66811.2025.11181747openalex-snapshot
MobileUNETR+: An Efficient Medical Image Segmentation Network Integrating Self-Attention and Dual-Pathway Strategies
inferred← citeshttps://doi.org/10.1109/crc51253.2020.9253490openalex-snapshot
Design and Implementation of Driverless Perceptual System Based on CPU + FPGA
inferred← citeshttps://doi.org/10.1109/csis-iac60628.2023.10363963openalex-snapshot
SEFA: A Shared Encoder and Feature Adaptation Framework for Breast MRI Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00389openalex-snapshot
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00408openalex-snapshot
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00430openalex-snapshot
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01106openalex-snapshot
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02202openalex-snapshot
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00373openalex-snapshot
Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00291openalex-snapshot
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
inferred← citeshttps://doi.org/10.1109/embc48229.2022.9871529openalex-snapshot
Modality Bank: Learn multi-modality images across data centers without sharing medical data
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054505openalex-snapshot
Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746286openalex-snapshot
Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095345openalex-snapshot
Pseudo Multi-Source Domain Extension and Selective Pseudo-Labeling for Unsupervised Domain Adaptive Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/icbea62825.2024.00011openalex-snapshot
Category-level and Instance-level Synergistic Alignment Applied in Unsupervised Domain Adaptation for Pancreatic Segmentation
inferred← citeshttps://doi.org/10.1109/iccv.2019.00372openalex-snapshot
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
inferred← citeshttps://doi.org/10.1109/iccv.2019.01081openalex-snapshot
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00744openalex-snapshot
Self-Supervised Vessel Segmentation via Adversarial Learning
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00815openalex-snapshot
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01735openalex-snapshot
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
inferred← citeshttps://doi.org/10.1109/iccvw.2019.00057openalex-snapshot
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
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