Otto Brinkhaus

Otto Brinkhaus
Friedrich Schiller University Jena | FSU · Department of Inorganic and Analytical Chemistry

Master of Science

About

10
Publications
1,297
Reads
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50
Citations
Citations since 2017
10 Research Items
50 Citations
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Introduction
My work focuses on the automated extraction of structured chemical information from scientific publications. This includes the application of Natural Language Processing and Optical Character Recognition. Our goal is making chemical information publicly available.
Education
October 2018 - September 2020
Friedrich Schiller University Jena
Field of study
  • Chemistry
October 2014 - September 2018
Friedrich Schiller University Jena
Field of study
  • Chemistry

Publications

Publications (10)
Preprint
Full-text available
Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics. There has been a growing interest in applying deep learning to several subfields, including the digital transformation of synthetic chemistry, extraction of chemical information from the scientific literature, and AI...
Preprint
Full-text available
Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics. The success of AlphaFold led to a growing interest in applying deep learning to a number of subfields, including the digital transformation of synthetic chemistry, extraction of chemical information from the scientifi...
Article
Full-text available
The development of deep learning-based optical chemical structure recognition (OCSR) systems has led to a need for datasets of chemical structure depictions. The diversity of the features in the training data is an important factor for the generation of deep learning systems that generalise well and are not overfit to a specific type of input. In t...
Article
Full-text available
The translation of images of chemical structures into machine-readable representations of the depicted molecules is known as optical chemical structure recognition (OCSR). There has been a lot of progress over the last three decades in this field, but the development of systems for the recognition of complex hand-drawn structure depictions is still...
Preprint
Full-text available
The translation of images of chemical structures into machine-readable representations of the depicted molecules is known as optical chemical structure recognition (OCSR). There has been a lot of progress over the last three decades in this field, but the development of systems for the recognition of complex hand-drawn structure depictions is still...
Preprint
Full-text available
The development of deep learning-based optical chemical structure recognition (OCSR) systems has led to a need for datasets of chemical structure depictions. The diversity of the features in the training data is an important factor for the generation of deep learning systems that generalise well and are not overfit to a specific type of input. In t...
Article
Full-text available
Chemistry looks back at many decades of publications on chemical compounds, their structures and properties, in scientific articles. Liberating this knowledge (semi-)automatically and making it available to the world in open-access databases is a current challenge. Apart from mining textual information, Optical Chemical Structure Recognition (OCSR)...
Preprint
Full-text available
p>Chemistry looks back at many decades of publications on chemical compounds, their structures and properties, in scientific articles. Liberating this knowledge (semi-)automatically and making it available to the world in open-access databases is a current challenge. Apart from mining textual information, Optical Chemical Structure Recognition (OCS...
Article
Full-text available
Abstract Structural information about chemical compounds is typically conveyed as 2D images of molecular structures in scientific documents. Unfortunately, these depictions are not a machine-readable representation of the molecules. With a backlog of decades of chemical literature in printed form not properly represented in open-access databases, t...

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