Contact information
Colleges
Stephen Mellon
BSc (Hons), PhD
Associate Professor
At the Oxford Orthopaedic Engineering Centre (OOEC) and with Prof. David Murray Stephen carries out research in Orthopaedic Biomechancs and specifically on implant design and patient factors affecting outcome in joint replacement . Stephen also works with Dr. Jack Tu on the development of methods for the combination of ultrasound imaging with motion capture.
In addition to his research interests, Stephen is a Stipendiary Lecturer in Engineering Science at Lady Margaret Hall. Stephen is also a lecturer on Biomechanics on the MSc in Musculoskeletal Sciences.
Key publications
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Adherence monitoring of rehabilitation exercise with inertial sensors: A clinical validation study.
Journal article
Bavan L. et al, (2019), Gait posture, 70, 211 - 217
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Instruments to reduce the risk of tibial fracture following cementless unicompartmental knee replacement.
Journal article
Mohammad HR. et al, (2018), Knee, 25, 988 - 996
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CAT & MAUS: A novel system for true dynamic motion measurement of underlying bony structures with compensation for soft tissue movement.
Journal article
Jia R. et al, (2017), J biomech, 62, 156 - 164
Recent publications
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Comparison of five-year clinical outcomes of 524 cemented and cementless medial unicompartmental knee replacements.
Journal article
Martin B. et al, (2021), Knee, 34, 89 - 97
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The Oxford Domed Lateral Unicompartmental Knee Replacement implant: Increasing wall height reduces the risk of bearing dislocation.
Journal article
Yang I. et al, (2021), Proc inst mech eng h
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The effect of body mass index on the outcomes of cementless medial mobile-bearing unicompartmental knee replacements.
Journal article
Mohammad HR. et al, (2021), Knee surg sports traumatol arthrosc
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The effect of age on the outcomes of cementless mobile bearing unicompartmental knee replacements.
Journal article
Mohammad HR. et al, (2021), Knee surg sports traumatol arthrosc
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Fast Automatic Bone Surface Segmentation in Ultrasound Images Without Machine Learning
Chapter
Tu SJ. et al, (2021), Medical Image Understanding and Analysis, 250 - 264