Kidziński Ł - Search Results

1

Personalization improves the biomechanical efficacy of foot progression angle modifications in individuals with medial knee osteoarthritis.

Uhlrich SD, Kolesar JA, Kidziński Ł, Boswell MA, Silder A, Gold GE, Delp SL, Beaupre GS. Uhlrich SD, et al. Among authors: kidzinski l. J Biomech. 2022 Nov;144:111312. doi: 10.1016/j.jbiomech.2022.111312. Epub 2022 Sep 19. J Biomech. 2022. PMID: 36191434 Free PMC article.

2

Estimating the effect size of surgery to improve walking in children with cerebral palsy from retrospective observational clinical data.

Rajagopal A, Kidziński Ł, McGlaughlin AS, Hicks JL, Delp SL, Schwartz MH. Rajagopal A, et al. Among authors: kidzinski l. Sci Rep. 2018 Nov 5;8(1):16344. doi: 10.1038/s41598-018-33962-2. Sci Rep. 2018. PMID: 30397268 Free PMC article.

3

Automatic real-time gait event detection in children using deep neural networks.

Kidziński Ł, Delp S, Schwartz M. Kidziński Ł, et al. PLoS One. 2019 Jan 31;14(1):e0211466. doi: 10.1371/journal.pone.0211466. eCollection 2019. PLoS One. 2019. PMID: 30703141 Free PMC article.

4

Automated Classification of Radiographic Knee Osteoarthritis Severity Using Deep Neural Networks.

Thomas KA, Kidziński Ł, Halilaj E, Fleming SL, Venkataraman GR, Oei EHG, Gold GE, Delp SL. Thomas KA, et al. Among authors: kidzinski l. Radiol Artif Intell. 2020 Mar 18;2(2):e190065. doi: 10.1148/ryai.2020190065. Radiol Artif Intell. 2020. PMID: 32280948 Free PMC article.

5

The turning and barrier course reveals gait parameters for detecting freezing of gait and measuring the efficacy of deep brain stimulation.

O'Day J, Syrkin-Nikolau J, Anidi C, Kidzinski L, Delp S, Bronte-Stewart H. O'Day J, et al. Among authors: kidzinski l. PLoS One. 2020 Apr 29;15(4):e0231984. doi: 10.1371/journal.pone.0231984. eCollection 2020. PLoS One. 2020. PMID: 32348346 Free PMC article.

6

Pre-operative gastrocnemius lengths in gait predict outcomes following gastrocnemius lengthening surgery in children with cerebral palsy.

Rajagopal A, Kidziński Ł, McGlaughlin AS, Hicks JL, Delp SL, Schwartz MH. Rajagopal A, et al. Among authors: kidzinski l. PLoS One. 2020 Jun 5;15(6):e0233706. doi: 10.1371/journal.pone.0233706. eCollection 2020. PLoS One. 2020. PMID: 32502157 Free PMC article.

7

Deep neural networks enable quantitative movement analysis using single-camera videos.

Kidziński Ł, Yang B, Hicks JL, Rajagopal A, Delp SL, Schwartz MH. Kidziński Ł, et al. Nat Commun. 2020 Aug 13;11(1):4054. doi: 10.1038/s41467-020-17807-z. Nat Commun. 2020. PMID: 32792511 Free PMC article.

8

A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis.

Boswell MA, Uhlrich SD, Kidziński Ł, Thomas K, Kolesar JA, Gold GE, Beaupre GS, Delp SL. Boswell MA, et al. Among authors: kidzinski l. Osteoarthritis Cartilage. 2021 Mar;29(3):346-356. doi: 10.1016/j.joca.2020.12.017. Epub 2021 Jan 7. Osteoarthritis Cartilage. 2021. PMID: 33422707 Free PMC article.

9

Wearable sensors enable personalized predictions of clinical laboratory measurements.

Dunn J, Kidzinski L, Runge R, Witt D, Hicks JL, Schüssler-Fiorenza Rose SM, Li X, Bahmani A, Delp SL, Hastie T, Snyder MP. Dunn J, et al. Among authors: kidzinski l. Nat Med. 2021 Jun;27(6):1105-1112. doi: 10.1038/s41591-021-01339-0. Epub 2021 May 24. Nat Med. 2021. PMID: 34031607 Free PMC article.

10

Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation.

Song S, Kidziński Ł, Peng XB, Ong C, Hicks J, Levine S, Atkeson CG, Delp SL. Song S, et al. Among authors: kidzinski l. J Neuroeng Rehabil. 2021 Aug 16;18(1):126. doi: 10.1186/s12984-021-00919-y. J Neuroeng Rehabil. 2021. PMID: 34399772 Free PMC article. Review.

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