| Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks TT Um, FMJ Pfister, D Pichler, S Endo, M Lang, S Hirche, U Fietzek, ... Proceedings of the 19th ACM international conference on multimodal …, 2017 | 723 | 2017 |
| High-resolution motor state detection in Parkinson’s disease using convolutional neural networks FMJ Pfister, TT Um, DC Pichler, J Goschenhofer, K Abedinpour, M Lang, ... Scientific reports 10 (1), 5860, 2020 | 47 | 2020 |
| Rigid motion estimation using mixtures of projected gaussians W Feiten, M Lang, S Hirche Proceedings of the 16th International Conference on Information Fusion, 1465 …, 2013 | 30 | 2013 |
| Gaussian process kernels for rotations and 6D rigid body motions M Lang, O Dunkley, S Hirche 2014 IEEE International Conference on Robotics and Automation (ICRA), 5165-5170, 2014 | 21 | 2014 |
| Parkinson's disease assessment from a wrist-worn wearable sensor in free-living conditions: Deep ensemble learning and visualization TT Um, FMJ Pfister, DC Pichler, S Endo, M Lang, S Hirche, U Fietzek, ... arXiv preprint arXiv:1808.02870, 2018 | 14 | 2018 |
| Computationally efficient rigid-body gaussian process for motion dynamics M Lang, S Hirche IEEE Robotics and Automation Letters 2 (3), 1601-1608, 2017 | 14 | 2017 |
| MPG-a framework for reasoning on 6 dof pose uncertainty W Feiten, M Lang arXiv preprint arXiv:1707.01941, 2017 | 13 | 2017 |
| MPG-fast forward reasoning on 6 dof pose uncertainty M Lang, W Feiten ROBOTIK 2012; 7th German Conference on Robotics, 1-6, 2012 | 13 | 2012 |
| A multi-layer Gaussian process for motor symptom estimation in people with Parkinson's disease M Lang, FMJ Pfister, J Fröhner, K Abedinpour, D Pichler, U Fietzek, ... IEEE Transactions on Biomedical Engineering 66 (11), 3038-3049, 2019 | 12 | 2019 |
| Gaussian process for 6-DoF rigid motions M Lang, M Kleinsteuber, S Hirche Autonomous Robots 42 (6), 1151-1167, 2018 | 12 | 2018 |
| Object handover prediction using gaussian processes clustered with trajectory classification M Lang, S Endo, O Dunkley, S Hirche arXiv preprint arXiv:1707.02745, 2017 | 12 | 2017 |
| Gaussian process dynamical models over dual quaternions M Lang, M Kleinsteuber, O Dunkley, S Hirche 2015 European Control Conference (ECC), 2847-2852, 2015 | 12 | 2015 |
| Approximation of probability density functions on the euclidean group parameterized by dual quaternions M Lang, V Wachtel, W Feiten Diploma thesis, Ludwig Maximilians University, Munich, Germany, 2011 | 6* | 2011 |
| Human motor behavior prediction through gaussian process modeling on manifolds MF Lang Technische Universität München, 2019 | 4 | 2019 |
| Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization T Taewoong Um, FMJ Pfister, DC Pichler, S Endo, M Lang, S Hirche, ... arXiv e-prints, arXiv: 1808.02870, 2018 | 3 | 2018 |
| Dynamics-based estimation of Parkinson's disease severity using Gaussian Processes S Endo, FJ Pfister, J Fröhner, U Fietzek, D Pichler, K Abedinpour, TT Um, ... Second IFAC Conference on Cyber-Physical & Human Systems, 2018 | 1 | 2018 |
| Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data F Pfister, D Kulić, T Um, D Pichler, A Ahmadi, M Lang, G König, F Achilles, ... | 1 | 2017 |
| Untersuchung und Beurteilung der motorischen Symptome der Parkinson-Erkrankung mittels eines am Handgelenk getragenen Sensors und eines Bewegungserfassungssystems D Pichler, M Lang, FMJ Pfister, T Um, GCS König, S Endo, K Abedinpour, ... DGN-Kongress 2017, 2017 | | 2017 |
| Acquisition, Validation and Preprocessing of Wrist-Worn Sensor Data in Patients with Parkinson’s Disease and Healthy Controls D Pichler, M Lang, D Kulić, F Pfister, G Koenig, T Um, A Ahmadi, S Endo, ... | | 2017 |
| Intention Estimation using Gaussian Processes on Wearable Haptics Signals M Lang, S Hirche | | 2014 |
Dana KulićProfessor, Monash UniversityVerified email at monash.edu
