most citedWearable intelligent throat enables natural speech in stroke patients with dysarthria

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2024★ 2 cited

Wearable intelligent throat enables natural speech in stroke patients with dysarthria

Chenyu Tang, Shuo Gao, Cong Li +20

Wearable silent speech systems hold significant potential for restoring communication in patients with speech impairments. However, seamless, coherent speech remains elusive, and c…

cs.CV2024

Neuromorphic spatiotemporal optical flow: Enabling ultrafast visual perception beyond human capabilities

Shengbo Wang, Jingwen Zhao, Tongming Pu +14

Optical flow, inspired by the mechanisms of biological visual systems, calculates spatial motion vectors within visual scenes that are necessary for enabling robotics to excel in c…

cs.CV2024

Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data

Mengtian Kang, Yansong Hu, Shuo Gao +13

Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that det…

eess.IV2024

Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning

Yong Liu, Mengtian Kang, Shuo Gao +12

Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis…

eess.IV2024★ 1 cited

SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images

Jiaqi Wang, Mengtian Kang, Yong Liu +12

Machine learning-based fundus image diagnosis technologies trigger worldwide interest owing to their benefits such as reducing medical resource power and providing objective evalua…