Sharma AM - Search Results

1

Cardiovascular disease/stroke risk stratification in deep learning framework: a review.

Bhagawati M, Paul S, Agarwal S, Protogeron A, Sfikakis PP, Kitas GD, Khanna NN, Ruzsa Z, Sharma AM, Tomazu O, Turk M, Faa G, Tsoulfas G, Laird JR, Rathore V, Johri AM, Viskovic K, Kalra M, Balestrieri A, Nicolaides A, Singh IM, Chaturvedi S, Paraskevas KI, Fouda MM, Saba L, Suri JS. Bhagawati M, et al. Among authors: sharma am. Cardiovasc Diagn Ther. 2023 Jun 30;13(3):557-598. doi: 10.21037/cdt-22-438. Epub 2023 Jun 5. Cardiovasc Diagn Ther. 2023. PMID: 37405023 Free PMC article. Review.

2

A Review on Carotid Ultrasound Atherosclerotic Tissue Characterization and Stroke Risk Stratification in Machine Learning Framework.

Sharma AM, Gupta A, Kumar PK, Rajan J, Saba L, Nobutaka I, Laird JR, Nicolades A, Suri JS. Sharma AM, et al. Curr Atheroscler Rep. 2015 Sep;17(9):55. doi: 10.1007/s11883-015-0529-2. Curr Atheroscler Rep. 2015. PMID: 26233633 Review.

3

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. Saba L, et al. Among authors: sharma am. J Clin Ultrasound. 2016 May;44(4):210-20. doi: 10.1002/jcu.22334. Epub 2016 Feb 17. J Clin Ultrasound. 2016. PMID: 26887355

4

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. Araki T, et al. Among authors: sharma am. J Med Syst. 2016 Jul;40(7):182. doi: 10.1007/s10916-016-0543-0. Epub 2016 Jun 14. J Med Syst. 2016. PMID: 27299355

5

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. Krishna Kumar P, et al. Among authors: sharma am. Med Biol Eng Comput. 2017 Aug;55(8):1415-1434. doi: 10.1007/s11517-016-1601-y. Epub 2016 Dec 10. Med Biol Eng Comput. 2017. PMID: 27943087

6

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. Ikeda N, et al. Comput Methods Programs Biomed. 2017 Apr;141:73-81. doi: 10.1016/j.cmpb.2017.01.009. Epub 2017 Jan 18. Comput Methods Programs Biomed. 2017. PMID: 28241970

7

A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography.

Boi A, Jamthikar AD, Saba L, Gupta D, Sharma A, Loi B, Laird JR, Khanna NN, Suri JS. Boi A, et al. Curr Atheroscler Rep. 2018 May 21;20(7):33. doi: 10.1007/s11883-018-0736-8. Curr Atheroscler Rep. 2018. PMID: 29781047 Review.

8

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. Biswas M, et al. Med Biol Eng Comput. 2019 Feb;57(2):543-564. doi: 10.1007/s11517-018-1897-x. Epub 2018 Sep 26. Med Biol Eng Comput. 2019. PMID: 30255236

9

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. Khanna NN, et al. Comput Biol Med. 2019 Feb;105:125-143. doi: 10.1016/j.compbiomed.2019.01.002. Epub 2019 Jan 8. Comput Biol Med. 2019. PMID: 30641308 Clinical Trial.

10

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. Cuadrado-Godia E, et al. Comput Biol Med. 2019 May;108:182-195. doi: 10.1016/j.compbiomed.2019.03.020. Epub 2019 Mar 25. Comput Biol Med. 2019. PMID: 31005010

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