83 citations · 239 across the 8 of their papers we have counts for
9 papers
LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3
Yang Zhou, Edoardo Occhipinti, Banboye Kidzeru Elvis +11
Hierarchical Phase-Contrast Tomography (HiP-CT) is a synchrotron based X-ray imaging technique that enables non-destructive, volumetric imaging of intact organs with multi-resoluti…
Wireless Silent Speech Interface Using Multi-Channel Textile EMG Sensors Integrated into Headphones
Chenyu Tang, Josée Mallah, Dominika Kazieczko +6
This paper presents a novel wireless silent speech interface (SSI) integrating multi-channel textile-based EMG electrodes into headphone earmuff for real-time, hands-free communica…
AI-Driven Smart Sportswear for Real-Time Fitness Monitoring Using Textile Strain Sensors
Chenyu Tang, Wentian Yi, Zibo Zhang +2
Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. However, existing solutions lac…
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
Edoardo Occhipinti, Marek Zylinski, Harry J. Davies +5
The cardiac dipole has been shown to propagate to the ears, now a common site for consumer wearable electronics, enabling the recording of electrocardiogram (ECG) signals. However,…
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…
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…
Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency
Chenyu Tang, Muzi Xu, Wentian Yi +9
Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use. We…
Intelligent machines work in unstructured environments by differential neuromorphic computing
Shengbo Wang, Shuo Gao, Chenyu Tang +9
Efficient operation of intelligent machines in the real world requires methods that allow them to understand and predict the uncertainties presented by the unstructured environment…
Human Body Digital Twin: A Master Plan
Chenyu Tang, Wentian Yi, Edoardo Occhipinti +3
A human body digital twin (DT) is a virtual representation of an individual's physiological state, created using real-time data from sensors and medical test devices, with the purp…