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个人简介
Ali Gooya received the MSc degree in electrical engineering from
Tehran University and the PhD degree in information science from the University of Tokyo (Monbusho scholarship), where
he was awarded a post-doctoral fellowship by Japan Society of Promotion of Science (2008). He then moved to the
University of Pennsylvania, Philadelphia, and worked on tumour image segmentation/registration till 2011.
Subsequently, he served as an assistant professor with Tarbiat Modares University, Tehran. In 2014, he was awarded an
IIF Marie-Curie Fellowship for statistical modeling of morphology and function from population in University of
Sheffield, where he recently works as a lecturer in medical image computing in the Department of EEE. His research
interests include probabilistic machine learning, variational Bayesian inference, and graphical models. He is a member
of the IEEE.
研究兴趣
论文共 71 篇作者统计合作学者相似作者
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MEDICAL IMAGE ANALYSIS (2024): 103097-103097
Computer Methods and Programs in Biomedicine (2024): 108158-108158
CoRR (2024)
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IEEE Journal of Biomedical and Health Informaticsno. 4 (2023): 1958-1966
International Conference on Medical Imaging with Deep Learningpp.426-443, (2023)
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