Scott L. Delp
Biomedical Engineering · 2003–2023
A researcher in the Science corpus: 18 papers; trusts 20 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 71 citations into it; #678 of 10,734 by trust here, #2,677 by citations
- Computer Vision and Pattern Recognition — 38 citations into it; #18,158 of 21,575 by trust here, #16,787 by citations
- Cognitive Neuroscience — 23 citations into it; #2,534 of 10,852 by trust here, #4,443 by citations
- Molecular Biology — 19 citations into it
- Physiology — 17 citations into it
- Physical Therapy, Sports Therapy and Rehabilitation — 15 citations into it; #103 of 390 by trust here, #115 by citations
- Statistics and Probability — 14 citations into it
- Orthopedics and Sports Medicine — 13 citations into it; #148 of 427 by trust here, #281 by citations
Whom Scott L. Delp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank C. Anderson
- Darryl G. Thelen
- Richard R. Neptune
- Marcus G. Pandy
- Ajay Seth
- David G. Lloyd
- Felix E. Zajac
- Steven A. Kautz
- Samuel R. Hamner
- Samuel Ward
Who trusts Scott L. Delp overall
- Ajay Seth
- Jennifer L. Hicks
- Samuel R. Hamner
- Apoorva Rajagopal
- Peter J. Bishop
- Frank Hutter
- Tim W. Dorn
- Thomas K. Uchida
- Massimo Sartori
- Andrew R. Cuff
Papers from Scott L. Delp's perspective
Ordered by how strongly the researchers Scott L. Delp trusts endorse each paper. Same corpus, a different order for every researcher.
- Dynamic optimization of human walking. (Journal of Biomechanical Engineering)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Generating dynamic simulations of movement using computed muscle control. (Journal of Biomechanics)
- Learning Multiple Layers of Features from Tiny Images
- An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. (Journal of Biomechanics)
- Static and dynamic optimization solutions for gait are practically equivalent. (Journal of Biomechanics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. (Journal of Applied Biomechanics)
- How animals move: an integrative view. (Science)
Their papers
- Optimizing Locomotion Controllers Using Biologically-Based Actuators and Objectives (2012) — 313 citations
- Muscle contributions to propulsion and support during running (2010) — 830 citations
- A Model of the Upper Extremity for Simulating Musculoskeletal Surgery and Analyzing Neuromuscular Control (2005) — 1,044 citations
- OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange (2011) — 323 citations
- OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement (2007) — 4,709 citations
- Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. (2014) — 386 citations
- Generating dynamic simulations of movement using computed muscle control. (2003) — 709 citations
- Flexing computational muscle: modeling and simulation of musculotendon dynamics. (2013) — 623 citations
- A Model of the Lower Limb for Analysis of Human Movement (2009) — 874 citations
- Rejuvenation of the aged muscle stem cell population restores strength to injured aged muscles (2014) — 602 citations
- OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement (2018) — 1,106 citations
- Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait (2016) — 923 citations
- Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. (2015) — 707 citations
- OpenCap: Human movement dynamics from smartphone videos (2023) — 329 citations
- Weakly supervised classification of rare aortic valve malformations using unlabeled cardiac MRI sequences (2018) — 20 citations
- Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities (2018) — 428 citations
- Large-scale physical activity data reveal worldwide activity inequality (2017) — 882 citations
- The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility (2015) — 34 citations