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Noel conlisk, PhD
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Aortic wall inflammation predicts abdominal aortic aneurysm expansion, rupture, and need for surgical repair
MA3RS Study Investigators
Circulation 136 (9), 787-797, 2017
1382017
On the optimization of low-cost FDM 3D printers for accurate replication of patient-specific abdominal aortic aneurysm geometry
M Chung, N Radacsi, C Robert, ED McCarthy, A Callanan, N Conlisk, ...
3D printing in medicine 4, 1-10, 2018
562018
The influence of stem length and fixation on initial femoral component stability in revision total knee replacement
N Conlisk, H Gray, P Pankaj, CR Howie
Bone & joint research 1 (11), 281-288, 2012
562012
Biomechanical assessment predicts aneurysm related events in patients with abdominal aortic aneurysm
BJ Doyle, N Bappoo, MBJ Syed, RO Forsythe, JT Powell, N Conlisk, ...
European Journal of Vascular and Endovascular Surgery 60 (3), 365-373, 2020
362020
In-lab three-dimensional printing: an inexpensive tool for experimentation and visualization for the field of organogenesis
R Partridge, N Conlisk, JA Davies
Organogenesis 8 (1), 22-27, 2012
312012
Metaphyseal cones in revision total knee arthroplasty: the role of stems
S Xie, N Conlisk, D Hamilton, C Scott, R Burnett, P Pankaj
Bone & joint research 9 (4), 162-172, 2020
302020
Patient-specific modelling of abdominal aortic aneurysms: the influence of wall thickness on predicted clinical outcomes
N Conlisk, AJ Geers, OMB McBride, DE Newby, PR Hoskins
Medical engineering & physics 38 (6), 526-537, 2016
262016
The role of complex clinical scenarios in the failure of modular components following revision total knee arthroplasty: a finite element study
N Conlisk, CR Howie, P Pankaj
Journal of Orthopaedic Research 33 (8), 1134-1141, 2015
202015
Optimum stem length for mitigation of periprosthetic fracture risk following primary total knee arthroplasty: a finite element study
N Conlisk, CR Howie, P Pankaj
Knee Surgery, Sports Traumatology, Arthroscopy 26, 1420-1428, 2018
192018
Computational modelling of motion at the bone–implant interface after total knee arthroplasty: The role of implant design and surgical fit
N Conlisk, CR Howie, P Pankaj
The Knee 24 (5), 994-1005, 2017
162017
Finite element analysis to compare the accuracy of the direct and mdev inversion algorithms in MR elastography
LM Hollis, E Barnhill, N Conlisk, LEJ Thomas-Seale, J Roberts, P Pankaj, ...
IAENG International Journal of Computer Science 43 (2), 137-146, 2016
142016
Quantification of interfacial motions following primary and revision total knee arthroplasty: A verification study versus experimental data
N Conlisk, CR Howie, P Pankaj
Journal of Orthopaedic Research® 36 (1), 387-396, 2018
122018
Exploring the biological and mechanical properties of abdominal aortic aneurysms using USPIO MRI and peak tissue stress: A combined clinical and finite element study
N Conlisk, RO Forsythe, L Hollis, BJ Doyle, OMB McBride, JMJ Robson, ...
Journal of cardiovascular translational research 10, 489-498, 2017
102017
On the optimization of low-cost FDM 3D printers for accurate replication of patient-specific abdominal aortic aneurysm geometry. 3D Print Med, 4 (1): 2
M Chung, N Radacsi, C Robert, ED McCarthy, A Callanan, N Conlisk, ...
DOI: https://doi. org/10.1186/s41205-017-0023-2, 2018
92018
A finite element analysis of tibial tritanium cones without stems in varying bone defects
S Xie, N Conlisk, D Hamilton, C Scott, R Burnett, P Pankaj
The Knee 27 (3), 656-666, 2020
82020
Finite element analysis to investigate variability of MR elastography in the human thigh
L Hollis, E Barnhill, M Perrins, P Kennedy, N Conlisk, C Brown, ...
Magnetic resonance imaging 43, 27-36, 2017
82017
An efficient method to capture the impact of total knee replacement on a variety of simulated patient types: A finite element study
N Conlisk, CR Howie, P Pankaj
Medical Engineering & Physics 38 (9), 959-968, 2016
72016
Investigation of modelling parameters for finite element analysis of MR elastography
L Hollis, L Thomas-Seale, N Conlisk, N Roberts, P Pankaj, PR Hoskins
Computational Biomechanics for Medicine: Imaging, Modeling and Computing, 75-84, 2016
52016
Magnetic resonance imaging using ultrasmall superparamagnetic particles of iron oxide for abdominal aortic aneurysm: a risk prediction study
R Forsythe, O McBride, J Robson, C Graham, N Conlisk, P Hoskins, ...
42018
Patient specific modelling
PR Hoskins, N Conlisk, AJ Geers, BJ Doyle
Cardiovascular Biomechanics, 207-230, 2017
42017
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