DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES
Ph.D
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Language: | English |
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2023
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/238817 |
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sg-nus-scholar.10635-2388172024-10-26T00:20:29Z DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES MURAT SHAGIROV MECHANOBIOLOGY INSTITUTE Yusuke Toyama tension inference, graph neural networks, deep learning, sim2real, domain transfer, in vivo Ph.D DOCTOR OF PHILOSOPHY (FOS-MBI) 2023-04-14T18:00:24Z 2023-04-14T18:00:24Z 2022-07-29 Thesis MURAT SHAGIROV (2022-07-29). DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/238817 0009-0006-9473-7856 en |
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National University of Singapore |
building |
NUS Library |
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Asia |
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Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
language |
English |
topic |
tension inference, graph neural networks, deep learning, sim2real, domain transfer, in vivo |
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tension inference, graph neural networks, deep learning, sim2real, domain transfer, in vivo MURAT SHAGIROV DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES |
description |
Ph.D |
author2 |
MECHANOBIOLOGY INSTITUTE |
author_facet |
MECHANOBIOLOGY INSTITUTE MURAT SHAGIROV |
format |
Theses and Dissertations |
author |
MURAT SHAGIROV |
author_sort |
MURAT SHAGIROV |
title |
DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES |
title_short |
DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES |
title_full |
DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES |
title_fullStr |
DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES |
title_full_unstemmed |
DEVELOPMENT OF DEEP LEARNING METHODS FOR INFERRING TISSUE DYNAMICS AND FORCES |
title_sort |
development of deep learning methods for inferring tissue dynamics and forces |
publishDate |
2023 |
url |
https://scholarbank.nus.edu.sg/handle/10635/238817 |
_version_ |
1821199230464688128 |