Scott Delp, Ph.D.

Affiliations: 
Bioengineering Stanford University, Palo Alto, CA 
Area:
neuromuscular biomechanics
Website:
http://nmbl.stanford.edu/people/Scott_Delp.htm
Google:
"Scott Delp"
Mean distance: 16.63 (cluster 22)
 
Cross-listing: Biomechanics Tree - BME Tree

Children

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Wendy Murray grad student Stanford
Stephen J. Piazza grad student (Biomechanics Tree)
James L. Patton grad student 1994-1998 Northwestern
Deanna S. Asakawa grad student 2003 Stanford
Ajit M. Chaudhari grad student 2000-2003 Stanford (Biomechanics Tree)
Blake M. Ashby grad student 2004 Stanford
Silvia S. Blemker grad student 2004 Stanford
Saryn R. Goldberg grad student 2004 Stanford
Jill Higginson grad student 2000-2005 Stanford
Katherine Saul grad student 2000-2005 Stanford
Robert Anthony Siston grad student 2000-2005 Stanford
Vincent De Sapio grad student 2002-2007 Stanford
Christine E. Draper grad student 2008 Stanford
Michael E. Llewellyn grad student 2009 Stanford
Ilse Jonkers post-doc Stanford
Christopher J. Gorini post-doc 2013- Stanford
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Publications

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Dunne JJ, Uchida TK, Besier TF, et al. (2021) Correction: A marker registration method to improve joint angles computed by constrained inverse kinematics. Plos One. 16: e0254509
Dunne JJ, Uchida TK, Besier TF, et al. (2021) A marker registration method to improve joint angles computed by constrained inverse kinematics. Plos One. 16: e0252425
Giori NJ, Radin J, Callahan A, et al. (2021) Assessment of Extractability and Accuracy of Electronic Health Record Data for Joint Implant Registries. Jama Network Open. 4: e211728
Boswell MA, Uhlrich SD, Kidziński Ł, et al. (2021) A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis. Osteoarthritis and Cartilage
Watkins LE, Rubin EB, Mazzoli V, et al. (2020) Rapid volumetric gagCEST imaging of knee articular cartilage at 3 T: evaluation of improved dynamic range and an osteoarthritic population. Nmr in Biomedicine. e4310
Thomas KA, Kidziński Ł, Halilaj E, et al. (2020) Automated Classification of Radiographic Knee Osteoarthritis Severity Using Deep Neural Networks. Radiology. Artificial Intelligence. 2: e190065
Yong JR, Dembia CL, Silder A, et al. (2020) Foot strike pattern during running alters muscle-tendon dynamics of the gastrocnemius and the soleus. Scientific Reports. 10: 5872
Chen X, Sanchez GN, Schnitzer MJ, et al. (2020) Microendoscopy detects altered muscular contractile dynamics in a mouse model of amyotrophic lateral sclerosis. Scientific Reports. 10: 457
Callahan A, Fries JA, Ré C, et al. (2019) Medical device surveillance with electronic health records. Npj Digital Medicine. 2: 94
Pal S, Besier TF, Gold GE, et al. (2018) Patellofemoral cartilage stresses are most sensitive to variations in vastus medialis muscle forces. Computer Methods in Biomechanics and Biomedical Engineering. 1-11
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