MolGrapher: Graph-based Visual Recognition of Chemical Structures-Reference-Cited by-同舟云学术

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MolGrapher: Graph-based Visual Recognition of Chemical Structures

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Morin Lucas¹,Danelljan Martin²,Agea Maria Isabel¹,Nassar Ahmed¹,Weber Valery¹,Meijer Ingmar¹,Staar Peter¹,Yu Fisher²

Affiliation:

1. IBM Research

2. ETH Zurich

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378261.pdf?arnumber=10378261

Reference38 articles.

1. United States Patent and Trademark Office

2. Chemical Structure Recognition (CSR) System: Automatic Analysis of 2D Chemical Structures in Document Images

3. IMG2SMI: translating molecular structure images to simplified molecular-input line-entry system;Campos;CoRR,2021

4. Img2Mol – accurate SMILES recognition from molecular graphical depictions

5. Description of several chemical structure file formats used by computer programs developed at Molecular Design Limited

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PatCID: an open-access dataset of chemical structures in patent documents;Nature Communications;2024-08-02

2. ChemScraper: leveraging PDF graphics instructions for molecular diagram parsing;International Journal on Document Analysis and Recognition (IJDAR);2024-07-05

3. Advancements in hand-drawn chemical structure recognition through an enhanced DECIMER architecture;Journal of Cheminformatics;2024-07-05

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