Results 101 to 110 of about 920,907 (239)

Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions – A comparative study on generalizability

Zeitschrift für Medizinische Physik
Multimodal image registration is applied in medical image analysis as it allows the integration of complementary data from multiple imaging modalities.
Anika Strittmatter, Lothar R. Schad, Frank G. Zöllner   +2 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

A practical method for multimodal registration and assessment of whole-brain disease burden using PET, MRI, and optical imaging. [PDF]

Sci Rep, 2020
Scarpelli ML, Healey DR, Mehta S, Kodibagkar VD, Quarles CC.   +4 more
europepmc   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Proceedings of the 3rd Workshop on Multimodal Output Generation [PDF]

, 2010
van der Sluis I, Bergmann K, van Hooijdonk C, Theune M. Proceedings of the 3rd Workshop on Multimodal Output Generation. In: MOG 2010.
van Hooijdonk, Charlotte, Bergmann, Kirsten, van der Sluis, Ielka, Theune, Mariet   +3 more
core  

COREG : A corner based registration technique for multimodal images

, 2017
This paper presents a COrner based REGistration technique for multimodal images (referred to as COREG). The proposed technique focuses on addressing large content and scale differences in multimodal images.
Lv, Guohua, Lu, Guojun, Teng, Shyh, Guohua Lv, Guojun Lu, Shyh Wei Teng   +5 more
core   +1 more source

Novel feature-based method for multi-modal biomedical image registration compared to intensity-based technique

Scientific Reports
Multimodal image registration plays a crucial role in biomedical research, enabling the integration of complementary information from different imaging techniques.
Mohammad Javad Shojaei, Lichen Yang, Kazem Shojaei, Jeerapat Doungchawee, Richard W. Vachet   +4 more
doaj   +1 more source

A Multimodal Remote Sensing Image Registration Framework With Dual-Stream Multiscale Attention and Adaptive Deformation Refinement

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multimodal remote sensing image registration is a fundamental step for multisource data fusion and geospatial analysis. However, nonlinear radiometric, textural, and geometric discrepancies across modalities challenge intensity- and traditional feature ...
Yunan He, Chenxuan Yang, Ce Sun, Ping Song   +3 more
doaj   +1 more source

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

A Novel Multimodal Fusion Framework Based on Point Cloud Registration for Near-Field 3D SAR Perception

Remote Sensing
This study introduces a pioneering multimodal fusion framework to enhance near-field 3D Synthetic Aperture Radar (SAR) imaging, crucial for applications like radar cross-section measurement and concealed object detection.
Tianjiao Zeng, Wensi Zhang, Xu Zhan, Xiaowo Xu, Ziyang Liu, Baoyou Wang, Xiaoling Zhang   +6 more
doaj   +1 more source