Anthony M. J. Bull - researchr alias

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Viewing Publication 1 - 7 from 7

2021

An Anatomical Atlas-Based Scaling Study for Quantifying Muscle and Hip Joint Contact Forces in Above and Through-Knee Amputees Using Validated Musculoskeletal ModellingDiana Toderita, David P. Henson, Christian Klemt, Ziyun Ding, Anthony M. J. Bull. tbe, 68(11):3447-3456, 2021. [doi]

2019

Validation and Use of a Musculoskeletal Gait Model to Study the Role of Functional Electrical StimulationZiyun Ding, Nur Liyana Azmi, Anthony M. J. Bull. tbe, 66(3):892-897, 2019. [doi]

Improving Musculoskeletal Model Scaling Using an Anatomical Atlas: The Importance of Gender and Anthropometric Similarity to Quantify Joint Reaction ForcesZiyun Ding, Chui K. Tsang, Daniel Nolte, Angela E. Kedgley, Anthony M. J. Bull. tbe, 66(12):3444-3456, 2019. [doi]

2014

Learning osteoarthritis imaging biomarkers using Laplacian eigenmap embeddings with data from the OAIClaire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert. isbi 2014: 1011-1014 [doi]

2012

Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis InitiativeClaire R. Donoghue, Anil Rao, Luis Pizarro, Anthony M. J. Bull, Daniel Rueckert. cvpr 2012: 50-57 [doi]

Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI)Claire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert. wbir 2012: 1-10 [doi]

2011

Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI)Claire R. Donoghue, Anil Rao, Anthony M. J. Bull, Daniel Rueckert. miip 2011: [doi]

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