Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Matthew R Masters

Showing results (1-10 of 10) with videos related to

Pageof 1
Sort By:
Medical & Biological Engineering & Computing|January 13, 2016
Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementationsElliot Greenwald, Matthew R Masters, Nitish V Thakor
Medical & Biological Engineering & Computing|March 1, 2016
Erratum to: Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementationsElliot Greenwald, Matthew R Masters, Nitish V Thakor
Nature Communications|October 6, 2025
Investigating whether deep learning models for co-folding learn the physics of protein-ligand interactionsMatthew R Masters, Amr H Mahmoud, Markus A Lill
Communications Chemistry|January 27, 2023
Elucidating the multiple roles of hydration for accurate protein-ligand binding prediction via deep learningAmr H Mahmoud, Matthew R Masters, Ying Yang, et al.
Journal of Chemical Information and Modeling|October 6, 2018
Efficient and Accurate Hydration Site Profiling for Enclosed Binding SitesMatthew R Masters, Amr H Mahmoud, Ying Yang, et al.
Journal of Chemical Information and Modeling|March 14, 2023
Deep Learning Model for Efficient Protein-Ligand Docking with Implicit Side-Chain FlexibilityMatthew R Masters, Amr H Mahmoud, Yao Wei, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Towards better understanding and reducing the effect of limb position on myoelectric upper-limb prosthesesMatthew R Masters, Ryan J Smith, Alcimar B Soares, et al.
Journal of Chemical Information and Modeling|February 28, 2025
Accelerated Hydration Site Localization and Thermodynamic ProfilingFlorian B Hinz, Matthew R Masters, Julia T Nguyen, et al.
Journal of Prosthetics and Orthotics : JPO|October 7, 2017
Multi-position Training Improves Robustness of Pattern Recognition and Reduces Limb-Position Effect in Prosthetic ControlRobert J Beaulieu, Matthew R Masters, Joseph Betthauser, et al.
IEEE Transactions on Bio-Medical Engineering|June 27, 2017
Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme LearningJoseph L Betthauser, Christopher L Hunt, Luke E Osborn, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medical & Biological Engineering & Computing|January 13, 2016
Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementationsElliot Greenwald, Matthew R Masters, Nitish V Thakor
Medical & Biological Engineering & Computing|March 1, 2016
Erratum to: Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementationsElliot Greenwald, Matthew R Masters, Nitish V Thakor
Nature Communications|October 6, 2025
Investigating whether deep learning models for co-folding learn the physics of protein-ligand interactionsMatthew R Masters, Amr H Mahmoud, Markus A Lill
Communications Chemistry|January 27, 2023
Elucidating the multiple roles of hydration for accurate protein-ligand binding prediction via deep learningAmr H Mahmoud, Matthew R Masters, Ying Yang, et al.
Journal of Chemical Information and Modeling|October 6, 2018
Efficient and Accurate Hydration Site Profiling for Enclosed Binding SitesMatthew R Masters, Amr H Mahmoud, Ying Yang, et al.
Journal of Chemical Information and Modeling|March 14, 2023
Deep Learning Model for Efficient Protein-Ligand Docking with Implicit Side-Chain FlexibilityMatthew R Masters, Amr H Mahmoud, Yao Wei, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Towards better understanding and reducing the effect of limb position on myoelectric upper-limb prosthesesMatthew R Masters, Ryan J Smith, Alcimar B Soares, et al.
Journal of Chemical Information and Modeling|February 28, 2025
Accelerated Hydration Site Localization and Thermodynamic ProfilingFlorian B Hinz, Matthew R Masters, Julia T Nguyen, et al.
Journal of Prosthetics and Orthotics : JPO|October 7, 2017
Multi-position Training Improves Robustness of Pattern Recognition and Reduces Limb-Position Effect in Prosthetic ControlRobert J Beaulieu, Matthew R Masters, Joseph Betthauser, et al.
IEEE Transactions on Bio-Medical Engineering|June 27, 2017
Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme LearningJoseph L Betthauser, Christopher L Hunt, Luke E Osborn, et al.
Pageof 1