Results 81 to 90 of about 4,404,768 (300)

Registration and Fusion of Multi-modal Medical Images

, 2016
Obtaining medical images from different modalities is highly desirable for clinical diagnosis, radio therapy planning and detecting any abnormalities in the human body. To extract a great deal of information from multi-modal images and create a composite one, the images need to be registered and fused.
openaire   +2 more sources

Fast saliency-aware multi-modality image fusion

Neurocomputing, 2013
This paper proposes a saliency-aware fusion algorithm for integrating infrared (IR) and visible light (ViS) images (or videos) with the aim to enhance the visualization of the latter. Our algorithm involves saliency detection followed by a biased fusion. The goal of the saliency detection is to generate a saliency map for the IR image, highlighting the
J. Han (Jungong ), E.J.E.M. Pauwels (Eric), P.M. de Zeeuw (Paul)   +2 more
openaire   +4 more sources

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

VAM-Net: Vegetation-Attentive deep network for Multi-modal fusion of visible-light and vegetation-sensitive images

International Journal of Applied Earth Observations and Geoinformation
Multi-modal fusion of remote sensing images poses challenges because of the intricate imaging mechanisms and variations in radiation across different modalities. Specifically, the fusion of visible-light and vegetation-sensitive images encounters similar
Yufu Zang, Shuye Wang, Haiyan Guan, Daifeng Peng, Jike Chen, Yanming Chen, Mahmoud R. Delavar   +6 more
doaj   +1 more source

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black   +2 more
wiley   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Learning in an inclusive multi-modal environment

, 2010
This paper examines recent research in interaction design for inclusive learning and the development of ideas for further research into building an environment facilitating inclusive multi-modal learning.
Peter Nicholl, Deryn Graham, Nicoll, Peter, Graham, Deryn, Benest, Ian, Ian Benest   +5 more
core   +1 more source

Multi-modal fusion model for early fire detection in electrical facilities

Dianzi Jishu Yingyong
Electrical fires in high-rise buildings are difficult to predict and can cause significant damage. To address this issue, this paper proposes a multi-modal data fusion model for early detection of electrical fires in high-rise buildings.
Pan Mingming, Wang Baigen, Qi Hongtao, Xu Zishang, Liu Jinyou   +4 more
doaj   +1 more source

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source

Multi-sensor remote sensing information fusion for urban area classification and change detection [PDF]

, 2011
Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. A special acquisition (orthogonal) geometry is of great importance for optical and
Palubinskas, Gintautas, Gintautas Palubinskas, Reinartz, Peter, Makarau, Aliaksei, Aliaksei Makarau, Peter Reinartz   +5 more
core   +1 more source