Sudeshna Sil Kar
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Explore the profile of Sudeshna Sil Kar including associated specialties, affiliations and a list of published articles.
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13
Citations
69
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Recent Articles
1.
Kar S, Cetin H, Srivastava S, Madabhushi A, Ehlers J
Med Phys
. 2025 Mar;
PMID: 40085126
Background: Radiomics-based characterization of fluid and retinal tissue compartments of spectral-domain optical coherence tomography (SD-OCT) scans has shown promise to predict anti-VEGF therapy treatment response in diabetic macular edema (DME)....
2.
Kar S, Cetin H, Abraham J, Srivastava S, Madabhushi A, Ehlers J
Sci Rep
. 2024 Jul;
14(1):17602.
PMID: 39080402
Geographic atrophy (GA) is an advanced form of dry age-related macular degeneration (AMD) that leads to progressive and irreversible vision loss. Identifying patients with greatest risk of GA progression is...
3.
Kar S, Cetin H, Srivastava S, Madabhushi A, Ehlers J
Heliyon
. 2024 Jul;
10(13):e32232.
PMID: 39035512
Background And Objective: Intravitreal injection of anti-VEGF agents is the first-line treatment for patients with neovascular-age related macular degeneration (nAMD). One unique serious adverse event that may be associated with...
4.
Kar S, Cetin H, Srivastava S, Madabhushi A, Ehlers J
Transl Vis Sci Technol
. 2024 Jan;
13(1):29.
PMID: 38289610
Purpose: The goal of this study was to evaluate the role of texture-based baseline radiomic features (Fr) and dynamic radiomics alterations (delta, FΔr) within multiple targeted compartments on optical coherence...
5.
Kar S, Cetin H, Abraham J, Srivastava S, Whitney J, Madabhushi A, et al.
IEEE Trans Biomed Eng
. 2023 Apr;
70(10):2914-2921.
PMID: 37097804
Objective: The purpose of this study was to quantitatively characterize the shape of the sub-retinal pigment epithelium (sub-RPE, i.e., space bounded by RPE and Bruch's membrane) compartment on SD-OCT using...
6.
Dong V, Sevgi D, Kar S, Srivastava S, Ehlers J, Madabhushi A
Front Ophthalmol (Lausanne)
. 2023 Feb;
2.
PMID: 36744216
Purpose: Deep learning (DL) is a technique explored within ophthalmology that requires large datasets to distinguish feature representations with high diagnostic performance. There is a need for developing DL approaches...
7.
Kar S, Cetin H, Lunasco L, Le T, Zahid R, Meng X, et al.
Ophthalmol Sci
. 2022 Dec;
2(4):100171.
PMID: 36531588
Purpose: No established biomarkers currently exist for therapeutic efficacy and durability of anti-VEGF therapy in neovascular age-related macular degeneration (nAMD). This study evaluated radiomic-based quantitative OCT biomarkers that may be...
8.
Kar S, Abraham J, Wykoff C, Sevgi D, Lunasco L, Brown D, et al.
Ophthalmol Sci
. 2022 Oct;
2(2):100123.
PMID: 36249694
Purpose: Various pathways and cytokines are implicated in pathogenesis of diabetic macular edema (DME). Computational imaging biomarkers (CIBs) of vessel tortuosity from ultra-widefield fluorescein angiography (UWFA) and texture patterns from...
9.
Sevgi D, Srivastava S, Whitney J, OConnell M, Kar S, Hu M, et al.
Ophthalmol Sci
. 2022 Feb;
1(3).
PMID: 35224527
Purpose: To determine the association between diabetic retinopathy (DR) severity and quantitative retinal vascular features. Design: Retrospective image analysis study. Participants: Eyes with DR and eyes with no posterior segment...
10.
Kalra G, Kar S, Sevgi D, Madabhushi A, Srivastava S, Ehlers J
J Pers Med
. 2021 Nov;
11(11).
PMID: 34834513
The management of retinal diseases relies heavily on digital imaging data, including optical coherence tomography (OCT) and fluorescein angiography (FA). Targeted feature extraction and the objective quantification of features provide...