Towards autonomous analysis of Chemical Exchange Saturation Transfer experiments using Deep Neural Networks (2022)
Attributed to:
Developing Artificial Intelligence and Deep Learning for the analysis of correlation spectroscopy data
funded by
BBSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.5281/zenodo.6394498
Publication URI: https://zenodo.org/record/6394498
Type: Journal Article/Review