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| CrossRef Text and Data Mining |
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| PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts |
| Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger |
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Genomics Inform. 2019;17(2):e15 Published online June 19, 2019 DOI: https://doi.org/10.5808/GI.2019.17.2.e15 |
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PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts Genomics & Informatics. 2019;17(2):e15  Finding Circles with Deep Learning Practical MATLAB Deep Learning. 2020;43-63 Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity Deep Learners and Deep Learner Descriptors for Medical Applications. 2020;9-93 Automatically disambiguating medical acronyms with ontology-aware deep learning Nature Communications. 2021;12(1): A deep learning based Part-of-Speech (POS) tagger for Sanskrit language by embedding character level features Proceedings of the 10th annual meeting of the Forum for Information Retrieval Evaluation. 2018; Three-Dimensional Deep Learning to Automatically Generate Cranial Implant Geometry . 2021; DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity Diagnostics. 2021;11(11):2034 Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisation Neural Computing and Applications. 2021; Deep Learning-Based Approach to Automatically Assess Coronary Distensibility Following Kawasaki Disease Pediatric Cardiology. 2021; Further evidence that concept mapping is not better than repeated retrieval as a tool for learning from texts Learning and Instruction. 2015;40:61-68 |
