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个人简介
Major research interests in Prof. Yi Wang’s lab are in applying and developing data science, machine learning, optimization, physics, and statistical inference techniques for medical imaging acquisition and analysis. This includes increasing imaging speed, reducing image artifacts, and generating novel image contrasts/biomarkers using computer vision and signal processing strategies. We seek to formulate medical imaging problems for disease diagnosis and therapy delivery as inverse problems from acquired signals to underlying pathogeneses based on biophysics. We work closely with clinicians to study neurological diseases such as multiple sclerosis, Parkinson’s disease, Alzheimer’s disease, stroke, cancer in various organs, liver diseases, and heart diseases. The inverse problems are often poorly conditioned and involve noisy incomplete data, resulting in reconstructed images with errors or artifacts commonly encountered in computer vision. We have developed the Bayesian statistical inference approach to removing image artifacts in MRI using prior knowledge established in biomedicine or acquired from multiple imaging modalities including immunohistochemical staining and optical imaging.
研究兴趣
论文共 678 篇作者统计合作学者相似作者
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BIOENGINEERING-BASELno. 2 (2024)
Xueliang Yu, Feng Zhao, Xiujuan Li,Weizhao Lu, Lisheng Zhao, Dandan Li, Di Chen,Yi Wang, Baojian Wang
MAGNETIC RESONANCE IN MEDICINEno. 4 (2024): 1586-1597
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERINGno. 1 (2024): 111744
Karl Schumacher,Martin R. Prince,Jon D. Blumenfeld,Hanna Rennert, Zhongxiu Hu,Hreedi Dev,Yi Wang,Alexey V. Dimov
Abdominal Radiologypp.1-11, (2024)
Journal of the Neurological Sciences (2024): 122859-122859
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