| A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms R Caldas, M Mundt, W Potthast, FB de Lima Neto, B Markert Gait & posture 57, 204-210, 2017 | 324 | 2017 |
| Estimation of gait mechanics based on simulated and measured IMU data using an artificial neural network M Mundt, A Koeppe, S David, T Witter, F Bamer, W Potthast, B Markert Frontiers in bioengineering and biotechnology 8, 41, 2020 | 129 | 2020 |
| Prediction of lower limb joint angles and moments during gait using artificial neural networks M Mundt, W Thomsen, T Witter, A Koeppe, S David, F Bamer, W Potthast, ... Medical & biological engineering & computing 58, 211-225, 2020 | 99 | 2020 |
| A comparison of three neural network approaches for estimating joint angles and moments from inertial measurement units M Mundt, WR Johnson, W Potthast, B Markert, A Mian, J Alderson Sensors 21 (13), 4535, 2021 | 64 | 2021 |
| Understanding cutting maneuvers–The mechanical consequence of preparatory strategies and foot strike pattern S David, M Mundt, I Komnik, W Potthast Human movement science 62, 202-210, 2018 | 60 | 2018 |
| Assessment of the measurement accuracy of inertial sensors during different tasks of daily living M Mundt, W Thomsen, S David, T Dupré, F Bamer, W Potthast, B Markert Journal of biomechanics 84, 81-86, 2019 | 44 | 2019 |
| Prediction of ground reaction force and joint moments based on optical motion capture data during gait M Mundt, A Koeppe, S David, F Bamer, W Potthast, B Markert Medical Engineering & Physics 86, 29-34, 2020 | 42 | 2020 |
| Walking with rollator: a systematic review of gait parameters in older persons M Mundt, JP Batista, B Markert, C Bollheimer, T Laurentius European review of aging and physical activity 16, 1-9, 2019 | 40 | 2019 |
| Artificial neural networks in motion analysis—applications of unsupervised and heuristic feature selection techniques M Mundt, A Koeppe, F Bamer, S David, B Markert Sensors 20 (16), 4581, 2020 | 33 | 2020 |
| Biomechanical testing of a PEEK-based dynamic instrumentation device in a lumbar spine model C Herren, A Beckmann, S Meyer, M Pishnamaz, M Mundt, R Sobottke, ... Clinical Biomechanics 44, 67-74, 2017 | 26 | 2017 |
| Intelligent prediction of kinetic parameters during cutting manoeuvres M Mundt, S David, A Koeppe, F Bamer, B Markert, W Potthast Medical & Biological Engineering & Computing 57, 1833-1841, 2019 | 23 | 2019 |
| Estimating ground reaction forces from two-dimensional pose data: a biomechanics-based comparison of AlphaPose, BlazePose, and OpenPose M Mundt, Z Born, M Goldacre, J Alderson Sensors 23 (1), 78, 2022 | 16 | 2022 |
| A new in vitro spine test rig to track multiple vertebral motions under physiological conditions A Beckmann, C Herren, M Mundt, J Siewe, P Kobbe, R Sobottke, ... Biomedical Engineering/Biomedizinische Technik 63 (4), 341-347, 2018 | 11 | 2018 |
| The influence of motion tasks on the accuracy of kinematic motion patterns of an IMU-based measurement system M Mundt, A Wisser, S David, T Dupré, V Quack, F Bamer, M Tingart, ... ISBS Proceedings Archive 35 (1), 245, 2017 | 11 | 2017 |
| Is bone-cement augmentation of screw-anchor fixation systems superior in unstable femoral neck fractures? A biomechanical cadaveric study M Knobe, S Bettag, C Kammerlander, S Altgassen, KJ Maier, S Nebelung, ... Injury 50 (2), 292-300, 2019 | 10 | 2019 |
| Prediction of joint kinetics based on joint kinematics using neural networks M Mundt, A Koeppe, F Bamer, W Potthast, B Markert Proceedings of the 36th Conference of the International Society of …, 2018 | 9 | 2018 |
| Prediction of joint kinetics based on joint kinematics using artificial neural networks M Mundt, A Koeppe, F Bamer, W Potthast, B Markert ISBS Proceedings Archive 36 (1), 794, 2018 | 7 | 2018 |
| Predicting 3D ground reaction force from 2D video via neural networks in sidestepping tasks C Morris, M Mundt, M Goldacre, J Weber, A Mian, J Alderson ISBS Proceedings Archive 39 (1), 300, 2021 | 6 | 2021 |
| Development and experimental validation of a patient‐specific lumbar spine FE model to predict the effects of instrumentations A Beckmann, M Mundt, C Herren, J Siewe, P Kobbe, R Sobottke, M Stoffel, ... PAMM 16 (1), 73-74, 2016 | 6 | 2016 |
| Synthesising 2D video from 3D motion data for machine learning applications M Mundt, H Oberlack, M Goldacre, J Powles, J Funken, C Morris, ... Sensors 22 (17), 6522, 2022 | 5 | 2022 |
