References to scientific publications citing Dragonfly…


Below are references to scientific publications in which Dragonfly or ORS Visual was cited. All publications are indexed by application area or key subject.

If Dragonfly played a critical part in your research or directly impacted results, you should cite it as a reference or text citation in your publication. Refer to our Guidelines for Citing Dragonfly for more information.

You should note that Dragonfly is the latest renamed release of ORS Visual SI. Some publications below may list this previous name of Dragonfly.

Strontium release from Sr2+-loaded bone cements and dispersion in healthy and osteoporotic rat bone

Rohnke M, Pfitzenreuter S, Mogwitz B, Henß A, Thomas J, Bieberstein D, Gemming T, Otto SK, Ray S, Schumacher M, Gelinsky M, Alt V.
Journal of Controlled Release. 2017 Sep 28;262:159-169. doi: 10.1016/j.jconrel.2017.07.036. Epub 2017 Jul 27.

Automated peroperative assessment of stents apposition from OCT pullbacks

Dubuisson F, Péry E, Ouchchane L, Combaret N, Kauffmann C, Souteyrand G, et al.
Computers in Biology and Medicine. 2015 Apr 1;59(0):98-105

Preservation of protein fluorescence in embedded human dendritic cells for targeted 3D light and electron microscopy

K. Höhn, J. Fuchs, A. Fröber, R. Kirmse, B. Glass, M. Anders-Össwein, P. Walther, H.-G. Kräusslich and C. Dietrich
Journal of Microscopy. doi: 10.1111/jmi.12230

Mission (im)possible – mapping the brain becomes a reality

Eberle AL, Selchow O, Thaler M, Zeidler D, Kirmse R
Microscopy. 2015 Feb 1;64(1):45–55

Reliability of a new method for evaluating femoral stem positioning after total hip arthroplasty based on stereoradiographic 3D reconstruction

Guenoun B, El Hajj F, Biau D, Anract P, Courpied J-P
The Journal of Arthroplasty. 2015 Jan;30(1):141–4

Patient-specific targeting guides compared with traditional instrumentation for glenoid component placement in shoulder arthroplasty: a multi-surgeon study in 70 arthritic cadaver specimens

Throckmorton TW, Gulotta LV, Bonnarens FO, Wright SA, Hartzell JL, Rozzi WB, et al.
Journal of Shoulder and Elbow Surgery. December 2014

Finite element analysis of abdominal aortic aneurysms: geometrical and structural reconstruction with application of an anisotropic material model

Roy D, Holzapfel GA, Kauffmann C, Soulez G
IMA Journal of Applied Mathematics [Internet]. 2014 Sep 8

Carotid plaque assessment using non-invasive shear strain elastography

Heusinkveld MHG, Cardinal M-HR, Yang Ju, Zhao Qin, Lopata RGP, Soulez G, et al.
Ultrasonics Symposium (IUS), 2014 IEEE International. 2014. p. 117–20

Impact of contrast injection and stent-graft implantation on reproducibility of volume measurements in semi-automated segmentation of abdominal aortic aneurysm on computed tomography

Morin-Roy F, Kauffmann C, Tang A, Hadjadj S, Thomas O, Piché N, et al.
European Radiology. 2014 Jul 1;24(7):1594–601

Validation of a novel technique for creating simulated radiographs using computed tomography datasets

Mendoza P, d’Anjou M-A, Carmel ÉN, Fournier É, Mai W, Alexander K, et al.
Veterinary Radiology & Ultrasound. 2014 May/June;55(3):251–62

Morphologic evaluation of ruptured and symptomatic abdominal aortic aneurysm by three-dimensional modeling

Tang A, Kauffmann C, Tremblay-Paquet S, Elkouri S, Steinmetz O, Morin-Roy F, et al.
Journal of Vascular Surgery. 2014 Apr;59(4):894–902.e3

Human embryonic larynx morphogenesis: three-dimensional and multiplanar study (918.26)

Labrouse M, Tonnelet R, Renard Y, Micard E, Duparc F, Delmas V, et al.
The FASEB Journal. 2014 Apr 1;28(1 Supplement)

Clinical validation of semi-automated software for volumetric and dynamic contrast enhancement analysis of soft tissue venous malformations on magnetic resonance imaging examination

Caty V, Kauffmann C, Dubois J, Mansour A, Giroux M-F, Oliva V, et al.
European Radiology. 2014 Feb 1;24(2):542–51

Local alendronic acid elution increases net periimplant bone formation: a micro-CT analysis

Bobyn JD, Thompson R, Lim L, Pura J, Bobyn K, Tanzer M
Clinical Orthopaedics and Related Research. 2014 Feb 1;472(2):687–94

A 3D ultrasound imaging robotic system to detect and quantify lower limb arterial stenoses: in-vivo feasibility

Janvier M-A, Merouche S, Allard L, Soulez G, Cloutier G
Ultrasound in Medicine & Biology. 2014 Jan;40(1):232–43

Three-dimensional reconstructions of human embryos: morphogenesis and hepatic vascularization

Lhuaire M, Scharbarg E, Micard É
The FASEB Journal. April 2013

Simulation de radiographies à partir d’images tomodensitométriques pour l’enseignement de l’anatomie radiographique en médecine vétérinaire

Mendoza P. [Master thesis]. Université de Montréal, Montréal, QC; 2013-03-03

Quantifications et recalage d’examens endovasculaires par OCT?: application au suivi longitudinal de la couverture néointimale et de la malapposition des stents coronaires

Dubuisson F. [PhD thesis]. Université d’auvergne, Clermont-Ferrand, France; 2012-11-13

Measurements and detection of abdominal aortic aneurysm growth: accuracy and reproducibility of a segmentation software

Kauffmann C, Tang A, Therasse É, Giroux M-F, Elkouri S, Melanson P, et al.
European Journal of Radiology. 2012 Aug;81(8):1688–94

Contrôle automatique des malappositions de stents coronaires par OCT

Dubuisson F, Kauffmann C, Motreff P, Péry E, Sarry L
IRBM. 2011 Nov;32(5):293–7

Direct visualization and quantification of bone growth into porous titanium implants using micro computed tomography

Baril E, Lefebvre LP, Hacking SA
Journal of Materials Science: Materials in Medicine. 2011 May 1;22(5):1321–32

Clinical validation of a software for quantitative follow-up of abdominal aortic aneurysm maximal diameter and growth by CT angiography

Kauffmann C, Tang A, Dugas A, Therasse É, Oliva V, Soulez G
European Journal of Radiology. 2011 Mar;77(3):502–8

Simultaneous assessment of liver volume and whole liver fat content: a step towards one-stop shop preoperative MRI protocol

d’Assignies G, Kauffmann C, Boulanger Y, Bilodeau M, Vilgrain V, Soulez G, et al.
European Radiology. 2011 Feb 1;21(2):301–9

Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US

Dey D, Schepis T, Marwan M, Slomka PJ, Berman DS, Achenbach S
Radiology. 2010 Nov 1;257(2):516–22

Effect of epicardial fat on electroanatomical mapping and epicardial catheter ablation

Desjardins B, Morady F, Bogun F
Journal of the American College of Cardiology. 2010 Oct 12;56(16):1320–7

Automated 3-dimensional quantification of noncalcified and calcified coronary plaque from coronary CT angiography

Dey D, Cheng VY, Slomka PJ, Nakazato R, Ramesh A, Gurudevan S, et al.
Journal of Cardiovascular Computed Tomography. 2009 Nov;3(6):372–82

In vivo OCT coronary imaging augmented with stent re-endothelialization score

Dubuisson F, Kauffmann C, Motreff P, Sarry L
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. Yang G-Z, Hawkes D, Rueckert D, Noble A, Taylor C, editors. Springer Berlin Heidelberg; 2009. p. 475–82

Understanding deformation and strain inside inhomogeneous materials

Nanotechnology Now. Posted on November 7, 2017.

In situ observation of phase separation and hierarchical microstructure of KxFe2-ySe2 single crystals

Liu Y, Xing Q, Straszheim WE, Marshman J, Pedersen P, Lograsso TA
ArXiv e-prints, 2015 February

Compression moulding of complex parts using randomly-oriented strands thermoplastic composites

LeBlanc D, Landry B, Levy A, Hubert P, Roy S, Yousefpour A
Proceedings of SAMPE Tech Conf. 2014

Study of processing conditions on the forming of ribbed features using randomly oriented strands thermoplastic composites

LeBlanc D, Landry B, Levy A, Roy S, Yousefpour A, Quinlan E, et al.
The AHS 70th Annual Forum, Montréal, Québec, Canada; 2014

X-ray microtomographic visualization and quantification of metallic foam structure filled with second phases – examples in biomedical applications

Baril E, Lefebvre L, Piché N
The proceeding of the 6th International Conference on Porous Metals and Metallic Foams. Bratislava, Slovakia; 2009

Fusing multi-scale and multi-modal 3D imaging and characterization

Merkle A, Lavery LL, Gelb J, Piché N
Microscopy and Microanalysis. 2014;20(Supplement S3):820–1

Seeded ND medical image segmentation by cellular automaton on GPU

Kauffmann Claude, Piché Nicolas
International Journal of Computer Assisted Radiology and Surgery. 2010 May;5(3):251–62

A cellular automaton framework for image processing on GPU

Kauffmann Claude, Piché Nicolas
Pattern Recognition. Yin P (editor), 2009

Cellular automaton for ultra-fast watershed transform on GPU

Kauffmann Claude, Piché Nicolas
The 19th International Conference on Pattern Recognition (ICPR), p. 1–4, 2008

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