| Machine learning techniques for optical performance monitoring from directly detected PDM-QAM signals J Thrane, J Wass, M Piels, JCM Diniz, R Jones, D Zibar Journal of Lightwave Technology 35 (4), 868-875, 2016 | 185 | 2016 |
| Model-aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz J Thrane, D Zibar, HL Christiansen IEEE Access 9, 2020 | 156 | 2020 |
| Deep learning-based signal strength prediction using geographical images and expert knowledge J Thrane, B Sliwa, C Wietfeld, HL Christiansen GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 60 | 2020 |
| Gaussian process regression for WDM system performance prediction J Wass, J Thrane, M Piels, R Jones, D Zibar Optical Fiber Communication Conference, Tu3D. 7, 2017 | 22 | 2017 |
| Drive test minimization using deep learning with Bayesian approximation J Thrane, M Artuso, D Zibar, HL Christiansen 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | 20 | 2018 |
| Demonstration of NB-IoT for maritime use cases KM Malarski, A Bardram, MD Larsen, J Thrane, MN Petersen, L Moeller, ... 2018 9th International Conference on the Network of the Future (NOF), 106-108, 2018 | 13 | 2018 |
| Comparison of empirical and ray-tracing models for mobile communication systems at 2.6 GHz J Thrane, D Zibar, HL Christiansen 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | 12 | 2019 |
| Investigation of deep indoor NB-IoT propagation attenuation KM Malarski, J Thrane, MG Bech, K Macheta, HL Christiansen, ... 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | 12 | 2019 |
| Machine learning techniques applied to system characterization and equalization D Zibar, J Thrane, J Wass, R Jones, M Piels, C Schaeffer 2016 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2016 | 12 | 2016 |
| Understanding sub-GHz signal behavior in deep-indoor scenarios KM Malarski, J Thrane, HL Christiansen, S Ruepp IEEE Internet of Things Journal 8 (8), 6746-6756, 2020 | 5 | 2020 |
| Internet of things connectivity in deep-indoor environments S Ruepp, AC Mateo, KM Malarski, J Thrane, MN Petersen 2018 9th International Conference on the Network of the Future (NOF), 96-100, 2018 | 5 | 2018 |
| Inter-and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based … D Li, LM Pehrson, L Tøttrup, M Fraccaro, R Bonnevie, J Thrane, ... Diagnostics 12 (12), 3112, 2022 | 4 | 2022 |
| Experimental evaluation of empirical NB-IoT propagation modelling in a deep-indoor scenario J Thrane, KM Malarski, HL Christiansen, S Ruepp GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 4 | 2020 |
| Mobile Communication System Measurements and Satellite Images J Thrane, HL Christiansen http://dx.doi.org/10.21227/1xf4-eg98, 2019 | 3 | 2019 |
| Combining hardware and simulation for datacenter scaling studies S Ruepp, A Pilimon, J Thrane, M Galili, M Berger, L Dittmann 2017 International Conference on Optical Network Design and Modeling (ONDM), 1-6, 2017 | 3 | 2017 |
| Machine learning for optical performance monitoring from directly detected pdm-qam signals J Wass, J Thrane, M Piels, JCM Diniz, R Jones, D Zibar ECOC 2016; 42nd European Conference on Optical Communication, 1-3, 2016 | 2 | 2016 |
| User-Centric Power Saving in Self-Organizing Mobile Networks M Artuso, J Thrane, HL Christiansen 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | 1 | 2018 |
| Performance and Agreement When Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ... Diagnostics 13 (6), 1070, 2023 | | 2023 |
| Performance and Agreement When Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System … D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ... | | 2023 |
| Optimisation of future mobile communication systems using deep learning J Thrane Technical University of Denmark, 2020 | | 2020 |
