Results 51 to 60 of about 310,518 (314)

Image fusion for dynamic contrast enhanced magnetic resonance imaging

, 2004
Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/, Nattkemper Tim W, Saalbach, A, Olaf Gerstung, Gerstung, O., Leach, M.O., Twellmann Thorsten, Twellmann, Thorsten, Nattkemper, TW, Axel Saalbach, Tim W Nattkemper, Leach, Martin O, Gerstung Olaf, Twellmann, T Thorsten, Thorsten Twellmann, Gerstung, Olaf, Saalbach Axel, Saalbach, Axel, Leach Martin O, Gerstung, O, Nattkemper, T.W., Martin O Leach, Saalbach, A., Twellmann, T.   +23 more
core   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Improved U-Net Multi-scale Feature Fusion Semantic Segmentation Network for RemoteSensing Images [PDF]

Jisuanji kexue
High spatial resolution of remote sensing images,the large scale differences of different types of objects,and the imba-lance of categories are the main challenges faced by accurate semantic segmentation tasks.In order to improve the accuracy of semantic
JIANG Wenwen, XIA Ying
doaj   +1 more source

Multiple feature fusion by subspace learning [PDF]

Proceedings of the 2008 international conference on Content-based image and video retrieval, 2008
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion techniques simply concatenate a pair of different features or use canonical correlation analysis based methods for joint dimensionality reduction in the feature space. However,
Yun Fu 0001, Liangliang Cao, Guodong Guo, Thomas S. Huang   +3 more
openaire   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Customizing Feature Decision Fusion Model using Information Gain, Chi-Square and Ordered Weighted Averaging for Text Classification

International Journal of Information and Communication Technology Research, 2011
Automatic classification of text data has been one of important research topics during recent decades. In this research, a new model based on data fusion techniques is introduced which is used for improving text classification effectiveness.
Mohammad Ali Ghaderi, Behzad Moshiri, Nasser Yazdani, Maryam Tayefeh Mahmoudi   +3 more
doaj  

TFI-Fusion: Hierarchical Triple-Stream Feature Interaction Network for Infrared and Visible Image Fusion

Information
As a key technology in multimodal information processing, infrared and visible image fusion holds significant application value in fields such as military reconnaissance, intelligent security, and autonomous driving.
Mingyang Zhao, Shaochen Su, Hao Li
doaj   +1 more source

Feature structure fusion modelling for classification

IET Image Processing, 2015
Structure fusion (SF) has been presented for multiple feature fusion via mining the discriminative and complementary information from different feature sets. As the typical methods, SF based on locality preserving projections (SFLPP) and SF based on tensor subspace analysis (SFTSA) have been developed for classification by capturing the complete ...
Guangfeng Lin, Hong Zhu 0006, XiaoBing Kang, Yalin Miu, Erhu Zhang   +4 more
openaire   +1 more source

Asymmetric Feature Fusion for Image Retrieval

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
In asymmetric retrieval systems, models with different capacities are deployed on platforms with different computational and storage resources. Despite the great progress, existing approaches still suffer from a dilemma between retrieval efficiency and asymmetric accuracy due to the limited capacity of the lightweight query model.
Hui Wu, Min Wang 0019, Wengang Zhou 0001, Zhenbo Lu, Houqiang Li   +4 more
openaire   +2 more sources

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source