| A context and augmented reality bpmn and bpms extension for industrial internet of things processes G Grambow, D Hieber, R Oberhauser, C Pogolski International Conference on Business Process Management, 379-390, 2021 | 12 | 2021 |
| Hybrid transactional and analytical processing databases: A systematic literature review D Hieber, G Grambow Ninth International Conference on Data Analytics: Held at NexTech 2020, 90-98, 2020 | 6 | 2020 |
| Supporting augmented reality industry 4.0 processes with context-aware processing and situational knowledge G Grambow, D Hieber, R Oberhauser, C Pogolski Proceedings of the Thirteenth International Conference on Information …, 2021 | 3 | 2021 |
| Intelligent task assignment in industry 4.0 production processes utilizing fuzzy sets G Grambow, D Hieber, R Oberhauser The Tenth International Conference on Intelligent Systems and Applications, 2021 | 3 | 2021 |
| Brain Tumor Classification and Segmentation Using Dual-Outputs for U-Net Architecture: O2U-Net SA Zargari, ZS Kia, AM Nickfarjam, D Hieber, F Holl Studies in health technology and informatics 305, 93-96, 2023 | 2 | 2023 |
| ARPF-an augmented reality process framework for context-aware process execution in industry 4.0 processes G Grambow, D Hieber, R Oberhauser, C Pogolski International Journal on Advances in Intelligent Systems 15 (1&2), 49-59, 2022 | 2 | 2022 |
| Mood adaptive display coloring-utilizing modern machine learning techniques and intelligent coloring to influence the mood of pc users L Brodschelm, F Gräber, D Hieber, M Hermann Proceedings of the 14th International Conference on Advances in Computer …, 2021 | 2 | 2021 |
| Return to work after Post-COVID: describing affected employees' perceptions of personal resources, organizational offerings and care pathways C Straßburger, D Hieber, M Karthan, M Jüster, J Schobel Frontiers in Public Health 11, 1282507, 2023 | 1 | 2023 |
| Leveraging augmented reality to support context-aware tasks in alignment with business processes G Grambow, D Hieber, R Oberhauser, C Pogolski International Journal of Virtual Reality, 17-20, 2021 | 1 | 2021 |
| Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer D Müller, P Meyer, L Rentschler, R Manz, D Hieber, J Bäcker, S Cramer, ... arXiv preprint arXiv:2403.16695, 2024 | | 2024 |
| Multiscale quantification of morphological heterogeneity with creation of a predictor of longer survival in glioblastoma G Prokop, B Wiestler, D Hieber, F Withake, K Mayer, J Gempt, ... International Journal of Cancer 153 (9), 1658-1670, 2023 | | 2023 |
| Machine Learning-based Assessment of Intratumor Heterogeneity in Glioblastoma D Hieber, G Prokop, M Karthan, B Märkl, J Schlegel, R Pryss, G Grambow, ... | | 2023 |
| Machine Learning Approaches for Detecting Coronary Artery Disease Using Angiography Imaging: A Scoping Review J Mantas Healthcare Transformation with Informatics and Artificial Intelligence 305, 244, 2023 | | 2023 |
| Evaluation of Completeness, Comparability, Validity, and Timeliness in Cancer Registries: A Scoping Review J Mantas Healthcare Transformation with Informatics and Artificial Intelligence 305, 160, 2023 | | 2023 |
| Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset D Hieber, G Prokop, M Karthan, F Holl, HA Kestler, G Grambow, B Märkl, ... 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | | 2023 |
| Concept and Requirements for an Educational Serious Game Teaching Pandemic Management M Karthan, D Hieber, A Kreuder, U Frick, R Pryss, J Schobel 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | | 2023 |
| Developing a Gamification-Based mHealth Platform to Support Orofacial Myofunctional Therapy for Children M Karthan, D Hieber, R Pryss, J Schobel 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | | 2023 |
| Developing a Mobile Serious Game Platform to Improve Orofacial Myofunctional Therapy for Children M Karthan, D Hieber, R Pryss, J Schobel | | 2023 |
| Utilizing Fuzzy Sets and Rule Engines for Intelligent Task Assignment in Industry 4.0 Production Processes G Grambow, D Hieber, R Oberhauser International Journal on Advances in Intelligent Systems 15 (1&2), 35-48, 2022 | | 2022 |
| Leveraging Gamma Corrections for an Overhead Reduced Mood Adaptive Display Coloring L Brodschelm, F Gräber, D Hieber, M Hermann International Journal on Advances in Software 15 (1&2), 43-53, 2022 | | 2022 |
Gregor GrambowAalen UniversityVerified email at hs-aalen.de
Gregor GrambowAalen UniversityVerified email at hs-aalen.de