Mark Bukowski
scholar.google.de
0000-0003-4563-1159
RWTH Aachen University, Institute of Applied Medical Engineering AME
13 papers found
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On the Potential of Taxonomic Graphs to Improve Applicability and Performance for the Classification of Biomedical Patents
Exploiting the taxonomic structure of SNOMED CT concepts for machine learning using modified tree representations – A feasibility study
AI-based relevance screening in Potential Technology Review to accelerate demand-pull innovation in medical technology
Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?
Feasibility of activity-based expert profiling using text mining of scientific publications and patents
Potential Technologies Review: A hybrid information retrieval framework to accelerate demand‐pull innovation in biomedical engineering
Challenges in Recommending Biomedical Experts for Collaborations
Big Data - Potentiale für das Innovationsmanagement in der Medizintechnik
Hybrid collaboration recommendation from bibliometric data: The medical technology perspective
Cooperative patent classification as a mean of validation for support vector machine learning: case study in biomedical emerging fields of technology
Empirical assessment of the time course of innovation in biomedical engineering: first results of a comparative approach
Gamification of Clinical Routine: The Dr. Fill Approach
Model based Prediction of Performance Change Introducing a Customised Barcode System in an Academic Laboratorial Workflow
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