output
20192026
most citedRecognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques

233 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

6 papers

physics.optics2026

Towards a universal meta-optics solver via large language models

Huanshu Zhang, Lei Kang, Yuyan Chen +3

Metasurface design increasingly requires fast models that can operate across structurally distinct device families, rather than retraining a separate surrogate for every geometry c…

cs.SD2024★ 1 cited

Multimodal Laryngoscopic Video Analysis for Assisted Diagnosis of Vocal Fold Paralysis

Yucong Zhang, Xin Zou, Jinshan Yang +4

This paper presents the Multimodal Laryngoscopic Video Analyzing System (MLVAS), a novel system that leverages both audio and video data to automatically extract key video segments…

cs.LG2021★ 1 cited

Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning

Emad M. Grais, Xiaoya Wang, Jie Wang +6

Wideband Absorbance Immittance (WAI) has been available for more than a decade, however its clinical use still faces the challenges of limited understanding and poor interpretation…

cond-mat.mes-hall2020★ 52 cited

Raman Scattering Cross Section of Confined Carbyne

Cla Duri Tschannen, Georgy Gordeev, Stephanie Reich +5

We experimentally quantify the Raman scattering from individual carbyne chains confined in double-walled carbon nanotubes. We find that the resonant differential Raman cross sectio…

quant-ph2020★ 26 cited

Reconfigurable photon sources based on quantum plexcitonic systems

Jia-Bin You, Xiao Xiong, Ping Bai +9

A single photon in a strongly nonlinear cavity is able to block the transmission of the second photon, thereby converting incident coherent light into anti-bunched light, which is…

eess.IV2019★ 233 cited

Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques

Manu Goyal, Neil Reeves, Satyan Rajbhandari +3

Recognition and analysis of Diabetic Foot Ulcers (DFU) using computerized methods is an emerging research area with the evolution of image-based machine learning algorithms. Existi…