Works by Raman, Rajiv


Results: 246
    1

    Retinal optical coherence tomography angiography imaging in population studies for study of microvascular dysfunction in Alzheimer's disease and related dementias.

    Published in:
    Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 2025, v. 21, n. 6, p. 1, doi. 10.1002/alz.70252
    By:
    • Kashani, Amir H.;
    • Berendschot, Tos T. J. M.;
    • Bonnin, Sophie;
    • Sobrin, Lucia;
    • De Jesus, Danilo Andrade;
    • Brea, Luisa Sanchez;
    • Martinez, Ana Collazo;
    • Raman, Rajiv;
    • de Vries, Victor A.;
    • Huang, Haifan;
    • MacGillivray, Tom;
    • Ramdas, Wishal D.;
    • van der Heide, Frank C. T.
    Publication type:
    Article
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    Correlating the patterns of diabetic macular edema, optical coherence tomography biomarkers and grade of diabetic retinopathy with stage of renal disease.

    Published in:
    International Ophthalmology, 2022, v. 42, n. 11, p. 3333, doi. 10.1007/s10792-022-02332-3
    By:
    • Agarwal, Manisha;
    • Sachdeva, Mani;
    • Shah, Shalin;
    • Raman, Rajiv;
    • Rani, Padmaja K.;
    • Rajalakshmi, Ramachandran;
    • Sivaprasad, Sobha;
    • Vignesh, T. P.;
    • Ramasamy, Kim;
    • Madharia, Aishwarya;
    • Sen, Alok;
    • Sugumar, Shalini;
    • Behera, Umesh Chandra;
    • Rodrigues, Ann Maria;
    • Anantharaman, Giridhar;
    • Priya, Swati;
    • Majumdar, Atanu
    Publication type:
    Article
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    A prospective, interventional study comparing the outcomes of macular hole surgery in eyes randomized to C<sub>3</sub>F<sub>8</sub>, C<sub>2</sub>F<sub>6,</sub> or SF<sub>6</sub> gas tamponade.

    Published in:
    International Ophthalmology, 2022, v. 42, n. 5, p. 1515, doi. 10.1007/s10792-021-02141-0
    By:
    • Rishi, Pukhraj;
    • Rishi, Ekta;
    • Bhende, Pramod;
    • Bhende, Muna;
    • Kandle, Kaustubh;
    • Attiku, Yamini;
    • Roy, Krishna Kanta;
    • Shelke, Komal;
    • Madaan, Sushant;
    • the SNVR groups;
    • Ratra, Dhanashree;
    • Rao, Girish;
    • Sen, Parveen;
    • Raman, Rajiv;
    • Rao, Chetan;
    • Susvar, Pradeep;
    • Khetan, Vikas;
    • Suganeswari, G.;
    • Verma, Aditya;
    • Muralidharan, Vinata
    Publication type:
    Article
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    Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

    Published in:
    2019
    By:
    • Ruamviboonsuk, Paisan;
    • Krause, Jonathan;
    • Chotcomwongse, Peranut;
    • Sayres, Rory;
    • Raman, Rajiv;
    • Widner, Kasumi;
    • Campana, Bilson J. L.;
    • Phene, Sonia;
    • Hemarat, Kornwipa;
    • Tadarati, Mongkol;
    • Silpa-Archa, Sukhum;
    • Limwattanayingyong, Jirawut;
    • Rao, Chetan;
    • Kuruvilla, Oscar;
    • Jung, Jesse;
    • Tan, Jeffrey;
    • Orprayoon, Surapong;
    • Kangwanwongpaisan, Chawawat;
    • Sukumalpaiboon, Ramase;
    • Luengchaichawang, Chainarong
    Publication type:
    Correction Notice
    10

    Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

    Published in:
    NPJ Digital Medicine, 2019, v. 2, p. N.PAG, doi. 10.1038/s41746-019-0099-8
    By:
    • Raumviboonsuk, Paisan;
    • Krause, Jonathan;
    • Chotcomwongse, Peranut;
    • Sayres, Rory;
    • Raman, Rajiv;
    • Widner, Kasumi;
    • Campana, Bilson J. L.;
    • Phene, Sonia;
    • Hemarat, Kornwipa;
    • Tadarati, Mongkol;
    • Silpa-Archa, Sukhum;
    • Limwattanayingyong, Jirawut;
    • Rao, Chetan;
    • Kuruvilla, Oscar;
    • Jung, Jesse;
    • Tan, Jeffrey;
    • Orprayoon, Surapong;
    • Kangwanwongpaisan, Chawawat;
    • Sukumalpaiboon, Ramase;
    • Luengchaichawang, Chainarong
    Publication type:
    Article
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    Aditya Jyot-Diabetic Retinopathy in Urban Mumbai Slums Study (AJ-DRUMSS): Study Design and Methodology - Report 1.

    Published in:
    Ophthalmic Epidemiology, 2014, v. 21, n. 1, p. 51, doi. 10.3109/09286586.2013.867509
    By:
    • Sunita, Mohan;
    • Desai, Shachi;
    • Vinay, Prasad;
    • Moolani, Samita;
    • Rai, Navendu;
    • Deepen, Sheth;
    • Ashwini, Rogiye;
    • Manish, Sonawane;
    • Hemangi, Gawali;
    • Abdal, Oliullah;
    • Kulkarni, Pandurang;
    • Chakravarti, Arindam;
    • Uthra, Satagopan;
    • Raman, Rajiv;
    • Radhika, Srinivasan;
    • Natarajan, Sundaram;
    • Kumaramanickavel, Govindasamy;
    • McCarty, Catherine
    Publication type:
    Article
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    Letters to the Editor.

    Published in:
    2008
    By:
    • Rani, Padmaja Kumari;
    • Raman, Rajiv;
    • Pal, Swakshyar Saumya
    Publication type:
    Letter
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    Multicenter Evaluation of Diagnostic Circulating Biomarkers to Detect Sight-Threatening Diabetic Retinopathy.

    Published in:
    JAMA Ophthalmology, 2022, v. 140, n. 6, p. 587, doi. 10.1001/jamaophthalmol.2022.1175
    By:
    • Gurudas, Sarega;
    • Frudd, Karen;
    • Maheshwari, Jayapal Jeya;
    • Revathy, Yeddula Rebecca;
    • Sivaprasad, Sobha;
    • Ramanathan, Shruthi Mahalakshmi;
    • Pooleeswaran, Vignesh;
    • Prevost, A. Toby;
    • Karatsai, Eleni;
    • Halim, Sandra;
    • Chandra, Shruti;
    • Nderitu, Paul;
    • Conroy, Dolores;
    • Krishnakumar, Subramanian;
    • Parameswaran, Sowmya;
    • Dharmalingam, Kuppamuthu;
    • Ramasamy, Kim;
    • Raman, Rajiv;
    • Jones, Colin;
    • Eleftheriadis, Haralabos
    Publication type:
    Article
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    Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

    Published in:
    Journal of Diabetes Research, 2020, p. 1, doi. 10.1155/2020/8839376
    By:
    • Limwattanayingyong, Jirawut;
    • Nganthavee, Variya;
    • Seresirikachorn, Kasem;
    • Singalavanija, Tassapol;
    • Soonthornworasiri, Ngamphol;
    • Ruamviboonsuk, Varis;
    • Rao, Chetan;
    • Raman, Rajiv;
    • Grzybowski, Andrzej;
    • Schaekermann, Mike;
    • Peng, Lily H.;
    • Webster, Dale R.;
    • Semturs, Christopher;
    • Krause, Jonathan;
    • Sayres, Rory;
    • Hersch, Fred;
    • Tiwari, Richa;
    • Liu, Yun;
    • Ruamviboonsuk, Paisan
    Publication type:
    Article
    49

    Using deep learning to detect diabetic retinopathy on handheld non-mydriatic retinal images acquired by field workers in community settings.

    Published in:
    Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-28347-z
    By:
    • Nunez do Rio, Joan M.;
    • Nderitu, Paul;
    • Raman, Rajiv;
    • Rajalakshmi, Ramachandran;
    • Kim, Ramasamy;
    • Rani, Padmaja K.;
    • Sivaprasad, Sobha;
    • Bergeles, Christos;
    • for the SMART India Study Group;
    • Bhende, Pramod;
    • Surya, Janani;
    • Gopal, Lingam;
    • Ramakrishnan, Radha;
    • Roy, Rupak;
    • Das, Supita;
    • Manayath, George;
    • Vignesh, T. P.;
    • Anantharaman, Giridhar;
    • Gopalakrishnan, Mahesh;
    • Natarajan, Sundaram
    Publication type:
    Article
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