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   Articles with "disentanglement" as a keyword



Efficient disentanglement of polycarbonate melts under complex shear field

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recommendations! Published in 2020 at "Polymer"

DOI: 10.1016/j.polymer.2020.122610

Abstract: Abstract Disentanglement is potentially a feasible method to improve the processability of polymers without any additives. But there still lacks the methods to efficiently prepare “in-pellet” disentangled polymers. To realize the large-scale production of disentangled… read more here.

Keywords: shear field; complex shear; polymer; disentanglement ... See more keywords

DGCDN: Robust Acoustic Fault Diagnosis via Domain-Generalized Causal Disentanglement

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recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae252d

Abstract: Reliable industrial fault diagnosis depends on the robust interpretation of sensor measurements, which are often degraded by unseen operating conditions. Acoustic sensing, a flexible and non-contact modality, is highly desirable for this purpose; however, its… read more here.

Keywords: disentanglement; dgcdn; fault diagnosis; domain generalized ... See more keywords

Disentanglement-induced multistability

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recommendations! Published in 2024 at "Physical Review A"

DOI: 10.1103/physreva.110.012439

Abstract: Multistability cannot be derived from any theoretical model that is based on a monostable master equation. On the other hand, multistability is experimentally-observed in a variety of quantum systems. A master equation having a nonlinear… read more here.

Keywords: disentanglement induced; multistability; disentanglement; induced multistability ... See more keywords

Completed Feature Disentanglement Learning for Multimodal MRIs Analysis

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recommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3539712

Abstract: Multimodal MRIs play a crucial role in clinical diagnosis and treatment. Feature disentanglement (FD)-based methods, aiming at learning superior feature representations for multimodal data analysis, have achieved significant success in multimodal learning (MML). Typically, existing… read more here.

Keywords: disentanglement; feature disentanglement; multimodal mris; modality ... See more keywords

DiRLoc: Disentanglement Representation Learning for Robust Image Forgery Localization

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recommendations! Published in 2025 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2024.3522190

Abstract: Deep Learning image forgery localization methods have achieved remarkable results but cannot maintain comparable performance when the forgery images are JPEG compressed, a format that is widely used in daily information transmission. The robustness against… read more here.

Keywords: image; disentanglement; forgery localization; forgery ... See more keywords

D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities

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recommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3175478

Abstract: Multi-modal Magnetic Resonance Imaging (MRI) can provide complementary information for automatic brain tumor segmentation, which is crucial for diagnosis and prognosis. While missing modality data is common in clinical practice and it can result in… read more here.

Keywords: network; modality; segmentation; missing modalities ... See more keywords

DC²T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation

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recommendations! Published in 2024 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2024.3469528

Abstract: Continual Learning (CL) is recognized to be a storage-efficient and privacy-protecting approach for learning from sequentially-arriving medical sites. However, most existing CL methods assume that each site is fully labeled, which is impractical due to… read more here.

Keywords: consistency; disentanglement; consistency training; semi supervised ... See more keywords

TAD-Graph: Enhancing Whole Slide Image Analysis via Task-Aware Subgraph Disentanglement

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recommendations! Published in 2025 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2025.3545680

Abstract: Learning contextual features such as interactions among various biological entities is vital for whole slide images (WSI)-based cancer diagnosis and prognosis. Graph-based methods have surpassed traditional multi-instance learning in WSI analysis by robustly integrating local… read more here.

Keywords: task; disentanglement; analysis; tad graph ... See more keywords

Interactively Assessing Disentanglement in GANs

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recommendations! Published in 2022 at "Computer Graphics Forum"

DOI: 10.1111/cgf.14524

Abstract: Generative adversarial networks (GAN) have witnessed tremendous growth in recent years, demonstrating wide applicability in many domains. However, GANs remain notoriously difficult for people to interpret, particularly for modern GANs capable of generating photo‐realistic imagery.… read more here.

Keywords: disentanglement gans; interactively assessing; assessing disentanglement; variation ... See more keywords

Deep Realistic Facial Editing via Label-restricted Mask Disentanglement

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/5652730

Abstract: With the rapid development of GAN (generative adversarial network), recent years have witnessed an increasing number of tasks on reference-guided facial attributes transfer. Most state-of-the-art methods consist of facial information extraction, latent space disentanglement, and… read more here.

Keywords: reference; realistic facial; deep realistic; facial editing ... See more keywords

Topological Disentanglement of Linear Polymers under Tension

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recommendations! Published in 2020 at "Polymers"

DOI: 10.3390/polym12112580

Abstract: We develop a theoretical description of the topological disentanglement occurring when torus knots reach the ends of a semiflexible polymer under tension. These include decays into simpler knots and total unknotting. The minimal number of… read more here.

Keywords: chain; disentanglement; linear polymers; topological disentanglement ... See more keywords