Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective? M Bukowski, R Farkas, O Beyan, L Moll, H Hahn, F Kiessling, ... | 58 | 2020 |
Gamification of Clinical Routine: The Dr. Fill Approach. M Bukowski, M Kühn, X Zhao, R Bettermann, SM Jonas Nursing Informatics, 262-266, 2016 | 12 | 2016 |
Feasibility of activity-based expert profiling using text mining of scientific publications and patents M Bukowski, S Geisler, T Schmitz-Rode, R Farkas Scientometrics 123 (2), 579-620, 2020 | 9 | 2020 |
Hybrid Collaboration Recommendation from Bibliometric Data - The Medical Technology Perspective M Bukowski, A Calero Valdez, M Ziefle, T Schmitz-Rode, R Farkas Proceedings of the 2nd International Workshop on Health Recommender Systems …, 2017 | 4* | 2017 |
Guidance for Clinical Evaluation under the Medical Device Regulation through Automated Scoping Searches FSKB Tang, M Bukowski, T Schmitz-Rode, R Farkas Applied Sciences 13 (13), 7639, 2023 | 3 | 2023 |
On the Potential of Taxonomic Graphs to Improve Applicability and Performance for the Classification of Biomedical Patents K Frerich, M Bukowski, S Geisler, R Farkas Applied Sciences 11 (2), 690, 2021 | 3 | 2021 |
Potential Technologies Review: A hybrid information retrieval framework to accelerate demand‐pull innovation in biomedical engineering T Schmitz, M Bukowski, S Koschmieder, T Schmitz‐Rode, R Farkas Research synthesis methods 10 (3), 420-439, 2019 | 3 | 2019 |
Empirical assessment of the time course of innovation in biomedical engineering: first results of a comparative approach R Farkas, AA Puiu, N Hamadeh, M Bukowski, T Schmitz-Rode Current Directions in Biomedical Engineering 2 (1), 599-602, 2016 | 1 | 2016 |
AI-based relevance screening in Potential Technology Review to accelerate demand-pull innovation in medical technology M Bukowski, T Schmitz-Rode, R Farkas MT 2020 – Leipzig – Biomed. Eng.-Biomed. Tech. 2020; 65(s1), 175, 2020 | | 2020 |
Exploiting the taxonomic structure of SNOMED CT concepts for machine learning using modified tree representations – A feasibility study M Bukowski, S Winkler, T Schmitz-Rode, R Farkas MT 2020 – Leipzig – Biomed. Eng.-Biomed. Tech. 2020; 65(s1), 177, 2020 | | 2020 |
Challenges in Recommending Biomedical Experts for Collaborations M Bukowski, R Farkas, T Schmitz-Rode Focus Session: Innovation Management in Medical Engineering at BMT 2018 …, 2018 | | 2018 |
Big Data - Potentiale für das Innovationsmanagement R Farkas, N Hamadeh, T Schmitz-Rode, M Bukowski 13. Symposium für Vorausschau und Technologieplanung 374, 239-259, 2017 | | 2017 |
Music Mood Classification: From a Music Piece to a Computed Mood M Bukowski Seminar on Music Computing, High-Performance and Automatic Computing, RWTH …, 2015 | | 2015 |
Model based Prediction of Performance Change Introducing a Customised Barcode System in an Academic Laboratorial Workflow M Bukowski, F Kloeckner, J Frese, C Quix, S Jockenhoevel, R Farkas BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK 59, S955-S955, 2014 | | 2014 |