| 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 21 (9), 1281-1289, 2018 | 4412 | 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 (7), 2152–2176, 2019 | 1257 | 2019 |
| Reference Maps of human ES and iPS cell variation enable high-throughput characterization of pluripotent cell lines C Bock, E Kiskinis, G Verstappen, H Gu, G Boulting, ZD Smith, M Ziller, ... Cell 144 (3), 439-452, 2011 | 1176 | 2011 |
| A functionally characterized test set of human induced pluripotent stem cells GL *Boulting, E *Kiskinis, GF *Croft, MW *Amoroso, DH *Oakley, ... Nature biotechnology 29 (3), 279-286, 2011 | 604 | 2011 |
| 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), 1-15, 2022 | 532 | 2022 |
| Necroptosis Drives Motor Neuron Death in Models of Both Sporadic and Familial ALS DB Re, V Le Verche, C Yu, MW Amoroso, KA Politi, S Phani, B Ikiz, ... Neuron 81 (5), 1001-1008, 2014 | 483 | 2014 |
| 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 19 (4), 496-504, 2022 | 482* | 2022 |
| Deep learning tools for the measurement of animal behavior in neuroscience MW Mathis, A Mathis Current Opinion in Neurobiology 60, 1-11, 2020 | 431 | 2020 |
| Serotonergic neurons signal reward and punishment on multiple timescales JY Cohen, MW Amoroso, N Uchida eLife 4, e06346, 2015 | 388 | 2015 |
| Accelerated high-yield generation of limb-innervating motor neurons from human stem cells A Mackenzie W, GF Croft, DJ Williams, S O'Keeffe, MA Carrasco, ... Journal of Neuroscience 33 (2), 574-586, 2013 | 316* | 2013 |
| Learnable latent embeddings for joint behavioural and neural analysis S Schneider, JH Lee, MW Mathis Nature, 360-368, 2023 | 273 | 2023 |
| 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 |
| Real-time, low-latency closed-loop feedback using markerless posture tracking GA Kane, G Lopes, JL Saunders, A Mathis, MW Mathis Elife 9, e61909, 2020 | 165 | 2020 |
| Pretraining boosts out-of-domain robustness for pose estimation A Mathis, T Biasi, S Schneider, M Yüksekgönül, B Rogers, M Bethge, ... WACV 2021, 1859.1868, 2021 | 161 | 2021 |
| ALS disrupts spinal motor neuron maturation and aging pathways within gene co-expression networks R Ho, S Sances, G Gowing, MW Amoroso, JG O'Rourke, A Sahabian, ... Nature Neuroscience 19 (9), 1256, 2016 | 116 | 2016 |
| Maturation of spinal motor neurons derived from human embryonic stem cells T Takazawa, GF Croft, MW Amoroso, L Studer, H Wichterle, ... PloS one 7 (7), e40154, 2012 | 98 | 2012 |
| 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 | 91 | 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 110 (22), 3789-3804. e9, 2022 | 72 | 2022 |
| 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 |
Alexander MathisEPFL (Ecole Polytechnique Fédérale de Lausanne / Swiss Federal Institute of Technology)epfl.ch의 이메일 확인됨
