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Published in 2025 at "Human Brain Mapping"
DOI: 10.1002/hbm.70246
Abstract: The rapid advancements in magnetic resonance imaging (MRI) technology have precipitated a new paradigm wherein cross‐modality data translation across diverse imaging platforms, field strengths, and different sites is increasingly challenging. This issue is particularly accentuated…
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Keywords:
using generative;
resonance imaging;
magnetic resonance;
cross modality ... See more keywords
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Published in 2025 at "Human Brain Mapping"
DOI: 10.1002/hbm.70349
Abstract: Advances in fetal three‐dimensional (3D) ultrasound (US) and magnetic resonance imaging (MRI) have revolutionized the study of fetal brain development, enabling detailed analysis of brain structures and growth. Despite their complementary capabilities, these modalities capture…
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Keywords:
brain;
mri;
comparison fetal;
cross modality ... See more keywords
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Published in 2024 at "Medical physics"
DOI: 10.1002/mp.17354
Abstract: BACKGROUND Precise glioma segmentation from multi-parametric magnetic resonance (MR) images is essential for brain glioma diagnosis. However, due to the indistinct boundaries between tumor sub-regions and the heterogeneous appearances of gliomas in volumetric MR scans,…
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Keywords:
cross modality;
glioma segmentation;
modality;
glioma ... See more keywords
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Published in 2018 at "Immunogenetics"
DOI: 10.1007/s00251-018-1054-6
Abstract: Epitopes presented on MHC class I molecules pass multiple processing stages before their presentation on MHC molecules, the main ones being proteasomal cleavage and TAP binding. Transporter associated with antigen processing (TAP) binding is a…
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Keywords:
cross modality;
tap;
tap binding;
deep learning ... See more keywords
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Published in 2024 at "Multimedia Systems"
DOI: 10.1007/s00530-024-01282-3
Abstract: Driver intention prediction allows drivers to perceive possible dangers in the fastest time and has become one of the most important research topics in the field of self-driving in recent years. In this study, we…
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Keywords:
information;
driver intention;
cross modality;
prediction ... See more keywords
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Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02390-7
Abstract: Visible and infrared person re-identification (VI-ReID) describes the task of matching the images of a person, captured by visible-light and infrared cameras; this is a particular challenge in night time surveillance applications. Existing cross-modality recognition…
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Keywords:
modality;
cross modality;
alignment partitioning;
person identification ... See more keywords
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Published in 2018 at "Educational Technology Research and Development"
DOI: 10.1007/s11423-017-9543-0
Abstract: Recently, there has been a transition from traditional paper or computer-based learning environments to smartpad-based learning environments, which are based on touch and involve various cognitive strategies such as touch operation and note taking. Accordingly,…
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Keywords:
smartpad based;
environment;
cross modality;
knowledge acquisition ... See more keywords
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Published in 2022 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-022-02590-7
Abstract: Existing medical image segmentation models tend to achieve satisfactory performance when the training and test data are drawn from the same distribution, while they often produce significant performance degradation when used for the evaluation of…
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Keywords:
image;
segmentation;
domain;
cross modality ... See more keywords
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Published in 2018 at "International Journal of Multimedia Information Retrieval"
DOI: 10.1007/s13735-018-0151-5
Abstract: Cross-modality retrieval encompasses retrieval tasks where the fetched items are of a different type than the search query, e.g., retrieving pictures relevant to a given text query. The state-of-the-art approach to cross-modality retrieval relies on…
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Keywords:
cross modality;
retrieval;
modality retrieval;
cca ... See more keywords
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Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105285
Abstract: BACKGROUND AND OBJECTIVE Medical image segmentation plays a vital role in medical image analysis. There are many algorithms developed for medical image segmentation which are based on edge or region characteristics. These are dependent on…
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Keywords:
image;
cross modality;
contrast enhancement;
segmentation ... See more keywords
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Published in 2020 at "Hearing Research"
DOI: 10.1016/j.heares.2020.108042
Abstract: In nature, animals constantly receive a multitude of sensory stimuli, such as visual, auditory, and somatosensory. The integration across sensory modalities is advantageous for the precise processing of sensory inputs which is essential for animals…
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Keywords:
modulation;
cross modality;
auditory;
intensity ... See more keywords