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Items: 1 to 50 of 653

1.

Chronic venous disease: from symptoms to microcirculation.

Senra Barros B, Kakkos SK, De Maeseneer M, Nicolaides AN.

Int Angiol. 2019 Jun;38(3):211-218. doi: 10.23736/S0392-9590.19.04116-6. Epub 2019 May 16.

2.

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography.

Jamthikar A, Gupta D, Khanna NN, Araki T, Saba L, Nicolaides A, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis PP, Kitas GD, Viswanathan V, Pareek G, Miner M, Suri JS.

Curr Atheroscler Rep. 2019 May 1;21(7):25. doi: 10.1007/s11883-019-0788-4. Review.

PMID:
31041615
3.

The present and future of deep learning in radiology.

Saba L, Biswas M, Kuppili V, Cuadrado Godia E, Suri HS, Edla DR, Omerzu T, Laird JR, Khanna NN, Mavrogeni S, Protogerou A, Sfikakis PP, Viswanathan V, Kitas GD, Nicolaides A, Gupta A, Suri JS.

Eur J Radiol. 2019 May;114:14-24. doi: 10.1016/j.ejrad.2019.02.038. Epub 2019 Mar 2. Review.

PMID:
31005165
4.

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.

Cuadrado-Godia E, Jamthikar AD, Gupta D, Khanna NN, Araki T, Maniruzzaman M, Saba L, Nicolaides A, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis P, Kitas GD, Viswanathan V, Suri JS.

Comput Biol Med. 2019 May;108:182-195. doi: 10.1016/j.compbiomed.2019.03.020. Epub 2019 Mar 25.

PMID:
31005010
5.

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0.

Khanna NN, Jamthikar AD, Gupta D, Araki T, Piga M, Saba L, Carcassi C, Nicolaides A, Laird JR, Suri HS, Gupta A, Mavrogeni S, Protogerou A, Sfikakis P, Kitas GD, Suri JS.

Med Biol Eng Comput. 2019 Jul;57(7):1553-1566. doi: 10.1007/s11517-019-01975-2. Epub 2019 Apr 15.

PMID:
30989577
6.

Burden and Suffering in Chronic Venous Disease.

Nicolaides AN, Labropoulos N.

Adv Ther. 2019 Mar;36(Suppl 1):1-4. doi: 10.1007/s12325-019-0882-6. Epub 2019 Feb 13.

PMID:
30758739
7.

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

Khanna NN, Jamthikar AD, Gupta D, Piga M, Saba L, Carcassi C, Giannopoulos AA, Nicolaides A, Laird JR, Suri HS, Mavrogeni S, Protogerou AD, Sfikakis P, Kitas GD, Suri JS.

Curr Atheroscler Rep. 2019 Jan 25;21(2):7. doi: 10.1007/s11883-019-0766-x. Review.

PMID:
30684090
8.

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study.

Khanna NN, Jamthikar AD, Gupta D, Nicolaides A, Araki T, Saba L, Cuadrado-Godia E, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis PP, Kitas GD, Viswanathan V, Suri JS.

Comput Biol Med. 2019 Feb;105:125-143. doi: 10.1016/j.compbiomed.2019.01.002. Epub 2019 Jan 8.

PMID:
30641308
9.

Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study.

Khanna NN, Jamthikar AD, Araki T, Gupta D, Piga M, Saba L, Carcassi C, Nicolaides A, Laird JR, Suri HS, Gupta A, Mavrogeni S, Kitas GD, Suri JS.

Echocardiography. 2019 Feb;36(2):345-361. doi: 10.1111/echo.14242. Epub 2019 Jan 9.

PMID:
30623485
10.

State-of-the-art review on deep learning in medical imaging.

Biswas M, Kuppili V, Saba L, Edla DR, Suri HS, Cuadrado-Godia E, Laird JR, Marinhoe RT, Sanches JM, Nicolaides A, Suri JS.

Front Biosci (Landmark Ed). 2019 Jan 1;24:392-426. Review.

PMID:
30468663
11.

Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies.

Cuadrado-Godia E, Dwivedi P, Sharma S, Ois Santiago A, Roquer Gonzalez J, Balcells M, Laird J, Turk M, Suri HS, Nicolaides A, Saba L, Khanna NN, Suri JS.

J Stroke. 2018 Sep;20(3):302-320. doi: 10.5853/jos.2017.02922. Epub 2018 Sep 30.

12.

Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk.

Biswas M, Kuppili V, Saba L, Edla DR, Suri HS, Sharma A, Cuadrado-Godia E, Laird JR, Nicolaides A, Suri JS.

Med Biol Eng Comput. 2019 Feb;57(2):543-564. doi: 10.1007/s11517-018-1897-x. Epub 2018 Sep 26.

PMID:
30255236
13.

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.

Cuadrado-Godia E, Maniruzzaman M, Araki T, Puvvula A, Jahanur Rahman M, Saba L, Suri HS, Gupta A, Banchhor SK, Teji JS, Omerzu T, Khanna NN, Laird JR, Nicolaides A, Mavrogeni S, Kitas GD, Suri JS; Fellow AIMBE.

Comput Biol Med. 2018 Oct 1;101:128-145. doi: 10.1016/j.compbiomed.2018.08.008. Epub 2018 Aug 8.

PMID:
30138774
14.

State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound.

Kumar PK, Araki T, Rajan J, Laird JR, Nicolaides A, Suri JS; Fellow AIMBE.

Comput Methods Programs Biomed. 2018 Sep;163:155-168. doi: 10.1016/j.cmpb.2018.05.015. Epub 2018 May 11. Review.

PMID:
30119850
15.

Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.

Kotsis V, Jamthikar AD, Araki T, Gupta D, Laird JR, Giannopoulos AA, Saba L, Suri HS, Mavrogeni S, Kitas GD, Viskovic K, Khanna NN, Gupta A, Nicolaides A, Suri JS.

Diabetes Res Clin Pract. 2018 Sep;143:322-331. doi: 10.1016/j.diabres.2018.07.028. Epub 2018 Jul 27.

PMID:
30059757
16.

Management of chronic venous disorders of the lower limbs. Guidelines According to Scientific Evidence. Part I.

Nicolaides A, Kakkos S, Baekgaard N, Comerota A, de Maeseneer M, Eklof B, Giannoukas AD, Lugli M, Maleti O, Myers K, Nelzén O, Partsch H, Perrin M.

Int Angiol. 2018 Jun;37(3):181-254. doi: 10.23736/S0392-9590.18.03999-8. No abstract available.

17.

Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.

Biswas M, Kuppili V, Araki T, Edla DR, Godia EC, Saba L, Suri HS, Omerzu T, Laird JR, Khanna NN, Nicolaides A, Suri JS.

Comput Biol Med. 2018 Jul 1;98:100-117. doi: 10.1016/j.compbiomed.2018.05.014. Epub 2018 May 12.

PMID:
29778925
19.

Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials.

Saba L, Banchhor SK, Londhe ND, Araki T, Laird JR, Gupta A, Nicolaides A, Suri JS.

Comput Biol Med. 2017 Dec 1;91:306-317. doi: 10.1016/j.compbiomed.2017.10.022. Epub 2017 Oct 23.

PMID:
29107894
20.

New data on chronic venous disease: a new place for Cyclo 3® Fort.

Kakkos SK, Bouskela E, Jawien A, Nicolaides AN.

Int Angiol. 2018 Feb;37(1):85-92. doi: 10.23736/S0392-9590.17.03935-9. Epub 2017 Oct 23. Review.

21.

Transoral laser surgery for laryngeal carcinoma: has Steiner achieved a genuine paradigm shift in oncological surgery?

Harris AT, Tanyi A, Hart RD, Trites J, Rigby MH, Lancaster J, Nicolaides A, Taylor SM.

Ann R Coll Surg Engl. 2018 Jan;100(1):2-5. doi: 10.1308/rcsann.2017.0190. Epub 2017 Oct 19. Review.

22.

Texture Feature Variability in Ultrasound Video of the Atherosclerotic Carotid Plaque.

Loizou CP, Pattichis CS, Pantziaris M, Kyriacou E, Nicolaides A.

IEEE J Transl Eng Health Med. 2017 Sep 28;5:1800509. doi: 10.1109/JTEHM.2017.2728662. eCollection 2017.

23.

Cross-talk between iNKT cells and monocytes triggers an atheroprotective immune response in SLE patients with asymptomatic plaque.

Smith E, Croca S, Waddington KE, Sofat R, Griffin M, Nicolaides A, Isenberg DA, Torra IP, Rahman A, Jury EC.

Sci Immunol. 2016 Dec 2;1(6). pii: eaah4081. doi: 10.1126/sciimmunol.aah4081.

PMID:
28783690
24.

Extracranial internal carotid artery calcium volume measurement using computer tomography.

Baradaran H, Ng CR, Gupta A, Noor NM, Al-Dasuqi KW, Mtui EE, Rijal OM, Giannopoulos A, Nicolaides A, Laird JR, Saba L, Suri JS.

Int Angiol. 2017 Oct;36(5):445-461. doi: 10.23736/S0392-9590.17.03811-1. Epub 2017 May 24.

25.

Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.

Saba L, Jain PK, Suri HS, Ikeda N, Araki T, Singh BK, Nicolaides A, Shafique S, Gupta A, Laird JR, Suri JS.

J Med Syst. 2017 Jun;41(6):98. doi: 10.1007/s10916-017-0745-0. Epub 2017 May 13.

PMID:
28501967
26.

Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment.

Ikeda N, Dey N, Sharma A, Gupta A, Bose S, Acharjee S, Shafique S, Cuadrado-Godia E, Araki T, Saba L, Laird JR, Nicolaides A, Suri JS.

Comput Methods Programs Biomed. 2017 Apr;141:73-81. doi: 10.1016/j.cmpb.2017.01.009. Epub 2017 Jan 18.

PMID:
28241970
27.

The place of Ruscus extract, hesperidin methyl chalcone, and vitamin C in the management of chronic venous disease.

Jawien A, Bouskela E, Allaert FA, Nicolaïdes AN.

Int Angiol. 2017 Feb;36(1):31-41. doi: 10.23736/S0392-9590.16.03788-3. Review.

28.

Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.

Krishna Kumar P, Araki T, Rajan J, Saba L, Lavra F, Ikeda N, Sharma AM, Shafique S, Nicolaides A, Laird JR, Gupta A, Suri JS.

Med Biol Eng Comput. 2017 Aug;55(8):1415-1434. doi: 10.1007/s11517-016-1601-y. Epub 2016 Dec 10.

PMID:
27943087
29.

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.

Araki T, Jain PK, Suri HS, Londhe ND, Ikeda N, El-Baz A, Shrivastava VK, Saba L, Nicolaides A, Shafique S, Laird JR, Gupta A, Suri JS.

Comput Biol Med. 2017 Jan 1;80:77-96. doi: 10.1016/j.compbiomed.2016.11.011. Epub 2016 Nov 27.

PMID:
27915126
30.

PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study.

Schmidt AF, Swerdlow DI, Holmes MV, Patel RS, Fairhurst-Hunter Z, Lyall DM, Hartwig FP, Horta BL, Hyppönen E, Power C, Moldovan M, van Iperen E, Hovingh GK, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Liu T, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott R, Luan J, Bobak M, Malyutina S, Pająk A, Kubinova R, Tamosiunas A, Pikhart H, Husemoen LL, Grarup N, Pedersen O, Hansen T, Linneberg A, Simonsen KS, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Kirchner HL, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H; LifeLines Cohort study group, Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dörr M, Lerch MM, Völker U, Völzke H, Ward J, Pell JP, Smith DJ, Meade T, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Balkau B, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Ridker PM, Chasman DI, Reiner AP, Lange LA, Ritchie MD, Asselbergs FW, Casas JP, Keating BJ, Preiss D, Hingorani AD; UCLEB consortium, Sattar N.

Lancet Diabetes Endocrinol. 2017 Feb;5(2):97-105. doi: 10.1016/S2213-8587(16)30396-5. Epub 2016 Nov 29.

31.

A Review on Atherosclerotic Biology, Wall Stiffness, Physics of Elasticity, and Its Ultrasound-Based Measurement.

Patel AK, Suri HS, Singh J, Kumar D, Shafique S, Nicolaides A, Jain SK, Saba L, Gupta A, Laird JR, Giannopoulos A, Suri JS.

Curr Atheroscler Rep. 2016 Dec;18(12):83. Review.

PMID:
27830569
32.
33.

Combined intermittent pneumatic leg compression and pharmacological prophylaxis for prevention of venous thromboembolism.

Kakkos SK, Caprini JA, Geroulakos G, Nicolaides AN, Stansby G, Reddy DJ, Ntouvas I.

Cochrane Database Syst Rev. 2016 Sep 7;9:CD005258. doi: 10.1002/14651858.CD005258.pub3. Review.

34.

Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach.

Banchhor SK, Araki T, Londhe ND, Ikeda N, Radeva P, Elbaz A, Saba L, Nicolaides A, Shafique S, Laird JR, Suri JS.

Comput Methods Programs Biomed. 2016 Oct;134:237-58. doi: 10.1016/j.cmpb.2016.07.009. Epub 2016 Jul 9.

PMID:
27480747
35.

Re: 'Long-term Mortality in Patients with Asymptomatic Carotid Stenosis: Implications for Statin Therapy'.

Spanos K, Nicolaides AN, Giannoukas AD.

Eur J Vasc Endovasc Surg. 2016 Sep;52(3):395. doi: 10.1016/j.ejvs.2016.05.034. Epub 2016 Jun 30. No abstract available.

36.

Risk factors associated with increased prevalence of abdominal aortic aneurysm in women.

Chabok M, Nicolaides A, Aslam M, Farahmandfar M, Humphries K, Kermani NZ, Coltart J, Standfield N.

Br J Surg. 2016 Aug;103(9):1132-8. doi: 10.1002/bjs.10179. Epub 2016 Jun 22.

PMID:
27332825
37.

Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial.

Saba L, Banchhor SK, Suri HS, Londhe ND, Araki T, Ikeda N, Viskovic K, Shafique S, Laird JR, Gupta A, Nicolaides A, Suri JS.

Comput Biol Med. 2016 Aug 1;75:217-34. doi: 10.1016/j.compbiomed.2016.06.010. Epub 2016 Jun 10.

PMID:
27318571
38.

Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.

Araki T, Kumar PK, Suri HS, Ikeda N, Gupta A, Saba L, Rajan J, Lavra F, Sharma AM, Shafique S, Nicolaides A, Laird JR, Suri JS; Fellow AIMBE.

J Med Syst. 2016 Jul;40(7):182. doi: 10.1007/s10916-016-0543-0. Epub 2016 Jun 14.

PMID:
27299355
39.

Numerical analysis of the effect of turbulence transition on the hemodynamic parameters in human coronary arteries.

Mahalingam A, Gawandalkar UU, Kini G, Buradi A, Araki T, Ikeda N, Nicolaides A, Laird JR, Saba L, Suri JS.

Cardiovasc Diagn Ther. 2016 Jun;6(3):208-20. doi: 10.21037/cdt.2016.03.08.

40.

Screening for Asymptomatic Carotid Plaques with Ultrasound.

Giannoukas AD, Chabok M, Spanos K, Nicolaides A.

Eur J Vasc Endovasc Surg. 2016 Sep;52(3):309-12. doi: 10.1016/j.ejvs.2016.04.013. Epub 2016 May 19. No abstract available.

41.

Nanosecond ligand migration and functional protein relaxation in ba3 oxidoreductase: Structures of the B0, B1 and B2 intermediate states.

Nicolaides A, Soulimane T, Varotsis C.

Biochim Biophys Acta. 2016 Sep;1857(9):1534-1540. doi: 10.1016/j.bbabio.2016.05.002. Epub 2016 May 17.

42.

Venous symptoms: the SYM Vein Consensus statement developed under the auspices of the European Venous Forum.

Perrin M, Eklof B, VAN Rij A, Labropoulos N, Vasquez M, Nicolaides A, Blattler W, Bouhassira D, Bouskela E, Carpentier P, Darvall K, DE Maeseneer M, Flour M, Guex JJ, Hamel-Desnos C, Kakkos S, Launois R, Lugli M, Maleti O, Mansilha A, NEGLéN P, Rabe E, Shaydakov E.

Int Angiol. 2016 Aug;35(4):374-98. Epub 2016 Apr 15. No abstract available.

PMID:
27081866
43.

PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology.

Araki T, Ikeda N, Shukla D, Jain PK, Londhe ND, Shrivastava VK, Banchhor SK, Saba L, Nicolaides A, Shafique S, Laird JR, Suri JS.

Comput Methods Programs Biomed. 2016 May;128:137-58. doi: 10.1016/j.cmpb.2016.02.004. Epub 2016 Mar 2.

PMID:
27040838
44.

Venous hemodynamic changes in lower limb venous disease: the UIP consensus according to scientific evidence.

Lee BB, Nicolaides AN, Myers K, Meissner M, Kalodiki E, Allegra C, Antignani PL, Bækgaard N, Beach K, Belcaro G, Black S, Blomgren L, Bouskela E, Cappelli M, Caprini J, Carpentier P, Cavezzi A, Chastanet S, Christenson JT, Christopoulos D, Clarke H, Davies A, Demaeseneer M, Eklöf B, Ermini S, Fernández F, Franceschi C, Gasparis A, Geroulakos G, Gianesini S, Giannoukas A, Gloviczki P, Huang Y, Ibegbuna V, Kakkos SK, Kistner R, Kölbel T, Kurstjens RL, Labropoulos N, Laredo J, Lattimer CR, Lugli M, Lurie F, Maleti O, Markovic J, Mendoza E, Monedero JL, Moneta G, Moore H, Morrison N, Mosti G, Nelzén O, Obermayer A, Ogawa T, Parsi K, Partsch H, Passariello F, Perrin ML, Pittaluga P, Raju S, Ricci S, Rosales A, Scuderi A, Slagsvold CE, Thurin A, Urbanek T, M VAN Rij A, Vasquez M, Wittens CH, Zamboni P, Zimmet S, Ezpeleta SZ.

Int Angiol. 2016 Jun;35(3):236-352. Epub 2016 Mar 24.

PMID:
27013029
45.

Screening for Atherosclerotic Cardiovascular Risk Using Ultrasound.

Nicolaides A, Panayiotou AG.

J Am Coll Cardiol. 2016 Mar 22;67(11):1275-7. doi: 10.1016/j.jacc.2016.01.016. No abstract available.

46.

EVF HOW Education in Venous Disease on the Move The 7th EVF HOW is returning to Limassol, Cyprus Advanced courses, EVF HOW Plus, will continue during 2016.

Neglén P, Eklöf B, Nicolaides A.

Int Angiol. 2016 Jun;35(3):353-63. Epub 2016 Mar 17. Review. No abstract available.

PMID:
26986174
47.

Measurement of blood flow in the deep veins of the lower limb using the geko™ neuromuscular electro-stimulation device.

Griffin M, Bond D, Nicolaides A.

Int Angiol. 2016 Aug;35(4):406-10. Epub 2016 Mar 2.

PMID:
26934561
48.

Carotid inter-adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis.

Saba L, Araki T, Kumar PK, Rajan J, Lavra F, Ikeda N, Sharma AM, Shafique S, Nicolaides A, Laird JR, Gupta A, Suri JS.

J Clin Ultrasound. 2016 May;44(4):210-20. doi: 10.1002/jcu.22334. Epub 2016 Feb 17.

PMID:
26887355
49.

Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine.

Dey N, Bose S, Das A, Chaudhuri SS, Saba L, Shafique S, Nicolaides A, Suri JS.

J Med Syst. 2016 Apr;40(4):91. doi: 10.1007/s10916-016-0451-3. Epub 2016 Feb 10.

PMID:
26860914
50.

Prediction of the time period of stroke based on ultrasound image analysis of initially asymptomatic carotid plaques.

Kyriacou E, Vogazianos P, Christodoulou C, Loizou C, Panayides AS, Petroudi S, Pattichis M, Pantziaris M, Nicolaides A, Pattichis CS.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:334-7. doi: 10.1109/EMBC.2015.7318367.

PMID:
26736267

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