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个人简介
DáNiel Unyi received the M.Sc. degree in biomedical engineering (Hons.) in 2021. His master’s thesis was concerned with graph variational autoencoders and their applications in bioinformatics. With the ideas and applications introduced in his thesis, he placed 2nd on the National Scientific Student’s Competition of Hungary. His Ph.D. research is focused on graph-based representation learning, self-supervised learning, explainable AI, and their practical application in 3D medical image processing. He is a PhD student in Computer Engineering at BME, under the supervision of Balint Gyires-Toth. He also works in multiple industrial projects, which involve the introduction of deep learning through real-world problems rooted in computer vision and network analysis.
研究兴趣
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ML4HNeurIPSpp.279-289, (2022)
作者统计
#Papers: 3
#Citation: 2
H-Index: 1
G-Index: 1
Sociability: 1
Diversity: 1
Activity: 1
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