Results 31 to 40 of about 1,190,682 (254)
Brain tumor segmentation in multimodal MRI via pixel-level and feature-level image fusion
Brain tumor segmentation in multimodal MRI volumes is of great significance to disease diagnosis, treatment planning, survival prediction and other relevant tasks.
Yu Liu +8 more
doaj +1 more source
Detecting replay attacks in audiovisual identity verification [PDF]
We describe an algorithm that detects a lack of correspondence between speech and lip motion by detecting and monitoring the degree of synchrony between live audio and visual signals.
Bredin, Herve +4 more
core +2 more sources
A system for gaze-contingent image analysis and multi-sensorial image display [PDF]
A novel system for gaze-contingent image analysis and multisensorial image display is described. The observer's scanpaths are recorded while viewing and analysing 2D or 3D (volumetric) images.
Gilchrist, Iain D +16 more
core +1 more source
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Multimodal biometrics score level fusion using non-confidence information [PDF]
Multimodal biometrics refers to automatic authentication methods that depend on multiple modalities of measurable physical characteristics. It alleviates most of the restrictions of single biometrics.
Chaw Poh, C
core
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom [PDF]
Multimodal medical data fusion has emerged as a transformative approach in smart healthcare, enabling a comprehensive understanding of patient health and personalized treatment plans.
Thanveer Shaik +9 more
core +1 more source
Multimodal emotion classification (MEC) has been extensively studied in human–computer interaction, healthcare, and other domains. Previous MEC research has utilized identical multimodal annotations (IMAs) to train unimodal models, hindering the learning
Lihong Zhang, Chaolong Liu, Nan Jia
doaj +1 more source
Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs +7 more
wiley +1 more source
A Light-Weighted Fusion Vision Mamba for Multimodal Remote Sensing Data Classification
Recent studies have shown that vision Mamba (VMamba) excels in long-sequence modeling capabilities, offering efficient visual representation learning.
Xin He +3 more
doaj +1 more source

