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Nathan Louis
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Weakly-supervised video object grounding from text by loss weighting and object interaction
L Zhou, N Louis, JJ Corso
arXiv preprint arXiv:1805.02834, 2018
832018
Temporally guided articulated hand pose tracking in surgical videos
N Louis, L Zhou, SJ Yule, RD Dias, M Manojlovich, FD Pagani, ...
International Journal of Computer Assisted Radiology and Surgery 18 (1), 117-125, 2023
82023
The impact of team familiarity on intra and postoperative cardiac surgical outcomes
MR Mathis, S Yule, X Wu, RD Dias, AM Janda, SL Krein, M Manojlovich, ...
Surgery 170 (4), 1031-1038, 2021
82021
Learning to estimate external forces of human motion in video
N Louis, JJ Corso, TN Templin, TD Eliason, DP Nicolella
Proceedings of the 30th ACM International Conference on Multimedia, 3540-3548, 2022
32022
Novel assessments of technical and nontechnical cardiac surgery quality: protocol for a mixed methods study
D Likosky, SJ Yule, MR Mathis, RD Dias, JJ Corso, M Zhang, SL Krein, ...
JMIR Research Protocols 10 (1), e22536, 2021
32021
Vip: video platform for pytorch
MR Ganesh, E Hofesmann, N Louis, J Corso
arXiv preprint arXiv:1910.02793, 2019
12019
Bone fracture risk prediction using low-resolution clinical computed tomography (ct) scans
LL Frazer, DP Nicolella, N Louis
US Patent App. 17/935,153, 2023
2023
Super-Resolution of Clinical Computed Tomography to Improve Fracture Risk Prediction
L Frazer, N Louis, W Zbijewski, J Vaishnav, D Nicolella
JOURNAL OF BONE AND MINERAL RESEARCH 37, 235-235, 2022
2022
Super-Resolution of Clinical Ct: Revealing Microarchitecture in Whole Bone Clinical Ct Image Data
L Frazer, N Louis, W Zbijewski, J Vaishnav, K Clark, D Nicolella
Available at SSRN 4646407, 0
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