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"Graph Fusion Network-Based Multimodal Learning for Freezing of Gait De" by Kun Hu, Zhiyong Wang et al.

Freezing of gait (FoG) is identified as a sudden and brief episode of movement cessation despite the intention to continue walking. It is one of the most disabling symptoms of Parkinson's disease (PD) and often leads to falls and injuries. Many computer-aided FoG detection methods have been proposed to use data collected from unimodal sources, such as motion sensors, pressure sensors, and video cameras. However, there are limited efforts of multimodal-based methods to maximize the value of all the information collected from different modalities in clinical assessments and improve the FoG detection performance. Therefore, in this study, a novel end-to-end deep architecture, namely graph fusion neural network (GFN), is proposed for multimodal learning-based FoG detection by combining footstep pressure maps and video recordings. GFN constructs multimodal graphs by treating the encoded features of each modality as vertex-level inputs and measures their adjacency patterns to construct ....

Footstep Pressure , Reezing Of Gait Fog Detection , Graph Convolution , Multimodal Learning , Arkinsons Disease Pd ,

"Standardising Breast Radiotherapy Structure Naming Conventions: A Mach" by Ali Haidar, Matthew Field et al.

In progressing the use of big data in health systems, standardised nomenclature is required to enable data pooling and analyses. In many radiotherapy planning systems and their data archives, target volumes (TV) and organ-at-risk (OAR) structure nomenclature has not been standardised. Machine learning (ML) has been utilised to standardise volumes nomenclature in retrospective datasets. However, only subsets of the structures have been targeted. Within this paper, we proposed a new approach for standardising all the structures nomenclature by using multi-modal artificial neural networks. A cohort consisting of 1613 breast cancer patients treated with radiotherapy was identified from Liverpool & Macarthur Cancer Therapy Centres, NSW, Australia. Four types of volume characteristics were generated to represent each target and OAR volume: textual features, geometric features, dosimetry features, and imaging data. Five datasets were created from the original cohort, the first four repres ....

Macarthur Cancer Therapy Centres , Artificial Neural Networks , Data Standardisation , Multimodal Learning ,

STAR.VISION AEROSPACE GROUP LIMITED: Chinese space company wins in top int'l AI competition

HANGZHOU, China, June 29, 2022 /PRNewswire/ STAR.VISION AEROSPACE GROUP LIMITED, a Chinese space technology innovator, has recently won the second place in the Multimodal Learning for Earth ....

Saudi Arabia , Kostenloser Wertpapierhandel , Yashu Kang , Electronics Engineers , Institute Of Electrical , Saudi Arabia National Cybersecurity Authority , Lincoln Laboratory , Multimodal Learning , Computer Vision , Pattern Recognition , National Cybersecurity Authority ,

Rudhrah Technovations: STAR.VISION Has the Help of CVPR 2022

Hangzhou, China (Newsfile Corp. - June 28, 2022) - STAR.VISION from China won two runner-up prizes in the Multimodal Learning for Earth and Environment (MultiEarth 2022) Challenge on 19 June at the IEEE ....

Shang Tang , United States , Kostenloser Wertpapierhandel , Yashu Kang , University Of Maryland , Lincoln Laboratory , Convolutional Neural Network , Institute Of Electrical , Electronics Engineers , International Conference On Computer Vision , China Newsfile Corp , Multimodal Learning , Computer Vision , Pattern Recognition , New Orleans , Environment Multimodal Challenge , Multimodal Image , Time Gated Convolutional Neural Network , Middle East , North Africa , Southeast Asia , Computing Power Town ,

STAR.VISION has the Help of CVPR 2022 AI Satellite in the Space Age

Press release content from Business Wire. The AP news staff was not involved in its creation. ....

Shang Tang , United States , Yashu Kang , University Of Maryland , Lincoln Laboratory , Convolutional Neural Network , Star Vision Hangzhou Ltd , Institute Of Electrical , Electronics Engineers , International Conference On Computer Vision , Multimodal Learning , Computer Vision , Pattern Recognition , New Orleans , Environment Multimodal Challenge , Multimodal Image , Agriculture Vision , Time Gated Convolutional Neural Network , Middle East , North Africa , Southeast Asia , Computing Power Town , Business Wire , Institute Of Electrical And Electronics Engineers ,