Yinhai Wang
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Explainable multimodal deep learning fusion of tongue and facial images for noninvasive coronary heart disease screening
Abstract There is an urgent need for convenient, non‑invasive and low‑cost tools for early screening of coronary heart disease (CHD). While tongue and facial features are known to reflect cardiac pathology and systemic blood circulation, respectively, in traditional Chinese medicine (TCM), it remains unclear whether fusing these two modalities can meaningfully improve CHD detection. We enrolled 200 CHD patients and 318 healthy controls and acquired standardized paired tongue and facial images.
Electrification of Smart Cities
Open AccessEditorial by Chun Sing Lai 1,*, Kim-Fung Tsang 2 and Yinhai Wang 3 1 Brunel Interdisciplinary Power Systems Research Centre, Department of Electronic and Electrical Engineering, Brunel University London, London UB8 3PH, UK 2 Department of Electrical Engineering, City University of Hong Kong, Hong Kong 999077, China 3 Department of Civil and Environmental Engineering, University of Washington, More Hall, Seattle, WA 98195, USA * Author to whom correspondence should be addressed. Appl.
Not getting in too deep: A practical deep learning approach to routine crystallisation image classification
PLOS ONE, Mar 2023 This is a preview of a remote PDF: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282562&type=printable Jamie Milne, Chen Qian, David Hargreaves, Yinhai Wang, Julie Wilson. , PLOS ONE, 2023, Volume 18, Issue 3, DOI: 10.1371/journal.pone.0282562
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