Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rongzhi Mao"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1666-1679 (2024)
Accurately predicting molecular properties is a challenging but essential task in drug discovery. Recently, many mono-modal deep learning methods have been successfully applied to molecular property prediction. However, mono-modal learning is inheren
Externí odkaz:
https://doaj.org/article/583974d537c846728e540f4c4a97ddf3
Publikováno v:
IEEE Access, Vol 12, Pp 82469-82481 (2024)
The lesion area of cancer presents complex physiological structures, posing significant challenges for accurate segmentation, which is required in radiotherapy or chemo-radiotherapy. The existing general-purpose segmentation models have made signific
Externí odkaz:
https://doaj.org/article/53f0ee7b4eb14395926ccb156931de2e
Publikováno v:
Molecules, Vol 29, Iss 7, p 1499 (2024)
Drug discovery involves a crucial step of optimizing molecules with the desired structural groups. In the domain of computer-aided drug discovery, deep learning has emerged as a prominent technique in molecular modeling. Deep generative models, based
Externí odkaz:
https://doaj.org/article/6b6ad920cac845ecbf28b01e26443814
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2478 (2022)
Nasopharyngeal carcinoma (NPC) is one of the most common head and neck cancers. Early diagnosis plays a critical role in the treatment of NPC. To aid diagnosis, deep learning methods can provide interpretable clues for identifying NPC from magnetic r
Externí odkaz:
https://doaj.org/article/b70158c7e1564fea8536368c3a1dd3ba
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5205cb0c8135d62bb286095e1987849a
https://doi.org/10.2139/ssrn.4136040
https://doi.org/10.2139/ssrn.4136040