Applied machine learning and artificial intelligence in rheumatology M Hügle, P Omoumi, JM van Laar, J Boedecker, T Hügle Rheumatology advances in practice 4 (1), rkaa005, 2020 | 134 | 2020 |
Dynamic input for deep reinforcement learning in autonomous driving M Huegle, G Kalweit, B Mirchevska, M Werling, J Boedecker 2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019 | 90 | 2019 |
Early seizure detection with an energy-efficient convolutional neural network on an implantable microcontroller M Hügle, S Heller, M Watter, M Blum, F Manzouri, M Dumpelmann, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 55 | 2018 |
Dynamic interaction-aware scene understanding for reinforcement learning in autonomous driving M Hügle, G Kalweit, M Werling, J Boedecker 2020 IEEE international conference on robotics and automation (ICRA), 4329-4335, 2020 | 45 | 2020 |
Deep inverse Q-learning with constraints G Kalweit, M Huegle, M Werling, J Boedecker Advances in neural information processing systems 33, 14291-14302, 2020 | 41 | 2020 |
Q-learning with long-term action-space shaping to model complex behavior for autonomous lane changes G Kalweit, M Huegle, M Werling, J Boedecker 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 40* | 2021 |
Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network M Kalweit, UA Walker, A Finckh, R Müller, G Kalweit, A Scherer, ... PLoS One 16 (6), e0252289, 2021 | 36 | 2021 |
Hardware implementation of a performance and energy-optimized convolutional neural network for seizure detection S Heller, M Hügle, I Nematollahi, F Manzouri, M Dümpelmann, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 26 | 2018 |
A dynamic deep neural network for multimodal clinical data analysis M Hügle, G Kalweit, T Hügle, J Boedecker Explainable AI in Healthcare and Medicine: Building a Culture of …, 2021 | 23 | 2021 |
Dorsal finger fold recognition by convolutional neural networks for the detection and monitoring of joint swelling in patients with rheumatoid arthritis T Hügle, L Caratsch, M Caorsi, J Maglione, D Dan, A Dumusc, ... Digital Biomarkers 6 (2), 31-35, 2022 | 22 | 2022 |
Amortized Q-learning with model-based action proposals for autonomous driving on highways B Mirchevska, M Hügle, G Kalweit, M Werling, J Boedecker 2021 IEEE international conference on robotics and automation (ICRA), 1028-1035, 2021 | 18 | 2021 |
Robust and Data-efficient Q-learning by Composite Value-estimation G Kalweit, M Kalweit, J Boedecker Transactions on Machine Learning Research, 2022 | 12* | 2022 |
NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding G Kalweit, M Kalweit, M Alyahyay, Z Jaeckel, F Steenbergen, S Hardung, ... arXiv preprint arXiv:2204.04733, 2022 | 9 | 2022 |
Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs M Kalweit, AM Burden, J Boedecker, T Hügle, T Burkard PLOS Computational Biology 19 (6), e1011073, 2023 | 8 | 2023 |
Deep surrogate Q-learning for autonomous driving M Kalweit, G Kalweit, M Werling, J Boedecker 2022 International Conference on Robotics and Automation (ICRA), 1578-1584, 2022 | 8 | 2022 |
Mechanisms of premotor-motor cortex interactions during goal directed behavior M Alyahyay, G Kalweit, M Kalweit, G Karvat, J Ammer, A Schneider, ... bioRxiv, 2023.01. 20.524944, 2023 | 4 | 2023 |
Artificial intelligence-supported treatment in rheumatology: Principles, current situation and perspectives T Hügle, M Kalweit Zeitschrift für Rheumatologie, 1-10, 2021 | 4 | 2021 |
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. M Kalweit, G Kalweit, J Boedecker AI4Function@ IJCAI, 12-21, 2021 | 3 | 2021 |
Künstliche Intelligenz-unterstützte Behandlung in der Rheumatologie: Grundlagen, aktueller Stand und Ausblick T Hügle, M Kalweit Zeitschrift Fur Rheumatologie 80 (10), 914, 2021 | 3 | 2021 |
AI as an Always-available Oncologist: A Vision for AI-optimized Cancer Therapy Based on Real-time Adaptive Dosing at the Patient Level G Kalweit, LG Valiña, I Mastroleo, A Klett, J Boedecker, R Mertelsmann, ... | 3 | |