| DeepLabCut: markerless pose estimation of user-defined body parts with deep learning A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, ... Nature neuroscience, 1, 2018 | 4404 | 2018 |
| Using DeepLabCut for 3D markerless pose estimation across species and behaviors. T Nath*, A Mathis*, AC Chen, A Patel, M Bethge, MW Mathis Nature protocols 14, 2152–2176, 2019 | 1254 | 2019 |
| Perspectives in machine learning for wildlife conservation D Tuia, B Kellenberger, S Beery, BR Costelloe, S Zuffi, B Risse, A Mathis, ... Nature communications 13 (1), 792, 2022 | 526 | 2022 |
| Multi-animal pose estimation, identification and tracking with DeepLabCut J Lauer, M Zhou, S Ye, W Menegas, S Schneider, T Nath, MM Rahman, ... Nature Methods, 1-9, 2022 | 480* | 2022 |
| Deep learning tools for the measurement of animal behavior in neuroscience MW Mathis, A Mathis Current Opinion in Neurobiology 60 (Preprint: arXiv preprint arXiv:1909.1386 …, 2020 | 431 | 2020 |
| Neuronal Representation of Social Information in the Medial Amygdala of Awake Behaving Mice Y Li, A Mathis, BF Grewe, JA Osterhout, B Ahanonu, MJ Schnitzer, ... Cell 171 (5), 1176-1190. e17, 2017 | 280 | 2017 |
| Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer A Cachot, M Bilous, YC Liu, X Li, M Saillard, M Cenerenti, GA Rockinger, ... Science Advances 7 (9), eabe3348, 2021 | 255 | 2021 |
| A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives A Mathis, S Schneider, J Lauer, MW Mathis Neuron 108 (1), 44-65, 2020 | 236 | 2020 |
| Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice MW Mathis, A Mathis, N Uchida Neuron 93 (6), 1493-1503. e6, 2017 | 202 | 2017 |
| Connecting multiple spatial scales to decode the population activity of grid cells M Stemmler*, A Mathis*, AVM Herz Science Advances 1 (11), e1500816, 2015 | 177 | 2015 |
| Optimal population codes for space: Grid cells outperform place cells A Mathis, AVM Herz, M Stemmler Neural Computation 24 (9), 2280-2317, 2012 | 174 | 2012 |
| Real-time, low-latency closed-loop feedback using markerless posture tracking. M Kane, G.A., Lopes, G., Sanders, J.L., Mathis, A. and Mathis Elife 9 (p.e61909.), 2020 | 164 | 2020 |
| Pretraining boosts out-of-domain robustness for pose estimation A Mathis, T Biasi, S Schneider, M Yüksekgönül, B Rogers, M Bethge, ... Proceedings of the IEEE/CVF Winter Conference / arXiv preprint arXiv:1909.11229, 2021 | 160 | 2021 |
| Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics C Weinreb, JE Pearl, S Lin, MAM Osman, L Zhang, S Annapragada, ... Nature Methods 21 (7), 1329-1339, 2024 | 89 | 2024 |
| Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction K Akiti, I Tsutsui-Kimura, Y Xie, A Mathis, JE Markowitz, R Anyoha, ... Neuron, 2022 | 72 | 2022 |
| Resolution of nested neuronal representations can be exponential in the number of neurons A Mathis, AVM Herz, MB Stemmler Physical Review Letters 109 (1), 018103, 2012 | 67 | 2012 |
| Probable nature of higher-dimensional symmetries underlying mammalian grid-cell activity patterns A Mathis, MB Stemmler, AVM Herz Elife 4, e05979, 2015 | 65 | 2015 |
| Acinoset: A 3d pose estimation dataset and baseline models for cheetahs in the wild D Joska, L Clark, N Muramatsu, R Jericevich, F Nicolls, A Mathis, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 13901 …, 2021 | 64 | 2021 |
| Measuring and modeling the motor system with machine learning SB Hausmann, AM Vargas, A Mathis, MW Mathis Current Opinion in Neurobiology / arXiv:2103.11775 11, 11-23, 2021 | 63 | 2021 |
| SuperAnimal pretrained pose estimation models for behavioral analysis S Ye, A Filippova, J Lauer, S Schneider, M Vidal, T Qiu, A Mathis, ... Nature Communications 15 (1), 5165, 2024 | 53* | 2024 |
Mackenzie W. MathisSwiss Federal Institute of Technology in Lausanne (EPFL)epfl.ch의 이메일 확인됨
