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Showing 18 publications by Veer Sangha

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images.

Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al. (2024), Journal of the American Medical Informatics Association : JAMIA, 31(4), 855-865

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@article{biometriccontra-2024/4,
  title={Biometric contrastive learning for data-efficient deep learning from electrocardiographic images.},
  author={Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al.},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  volume={31},
  pages={855-865},
  year = "2024"
}

A Multicenter Evaluation of the Impact of Therapies on Deep Learning-based Electrocardiographic Hypertrophic Cardiomyopathy Markers.

Dhingra LS, Sangha V, Aminorroaya A, Bryde R, Gaballa A et al. (2024)

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@misc{amulticentereva-2024/3,
  title={A Multicenter Evaluation of the Impact of Therapies on Deep Learning-based Electrocardiographic Hypertrophic Cardiomyopathy Markers.},
  author={Dhingra LS, Sangha V, Aminorroaya A, Bryde R, Gaballa A et al.},
  year = "2024"
}

Augmenting reality in echocardiography.

Sangha V (2024), Heart (British Cardiac Society), 110(6), 387-388

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@article{augmentingreali-2024/2,
  title={Augmenting reality in echocardiography.},
  author={Sangha V},
  journal={Heart (British Cardiac Society)},
  volume={110},
  pages={387-388},
  year = "2024"
}

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al. (2024), medRxiv, 31(4), 855-865

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@inproceedings{biometriccontra-2024/1,
  title={Biometric contrastive learning for data-efficient deep learning from electrocardiographic images},
  author={Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al.},
  pages={855-865},
  year = "2024"
}

Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care

Khunte A, Sangha V, Oikonomou E, Dhingra LS, Aminorroaya A et al. (2024)

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@misc{automateddiagno-2024/,
  title={Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care},
  author={Khunte A, Sangha V, Oikonomou E, Dhingra LS, Aminorroaya A et al.},
  year = "2024"
}

Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study

Dhingra L, Aminorroaya A, Sangha V, Camargos AP, Asselbergs F et al. (2024)

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@misc{scalableriskstr-2024/,
  title={Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study},
  author={Dhingra L, Aminorroaya A, Sangha V, Camargos AP, Asselbergs F et al.},
  year = "2024"
}

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images.

Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al. (2023), Circulation, 148(9), 765-777

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@article{detectionofleft-2023/8,
  title={Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images.},
  author={Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al.},
  journal={Circulation},
  volume={148},
  pages={765-777},
  year = "2023"
}

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices.

Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al. (2023), NPJ digital medicine, 6(1), 124

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@article{detectionofleft-2023/7,
  title={Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices.},
  author={Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al.},
  journal={NPJ digital medicine},
  volume={6},
  pages={124},
  year = "2023"
}

Biometric Contrastive Learning for Data-Efficient Deep Learning from Electrocardiographic Images

Sangha V, Khunte A, Holste G, Mortazavi B, Wang Z et al. (2023)

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@misc{biometriccontra-2023/,
  title={Biometric Contrastive Learning for Data-Efficient Deep Learning from Electrocardiographic Images},
  author={Sangha V, Khunte A, Holste G, Mortazavi B, Wang Z et al.},
  year = "2023"
}

Identification of Hypertrophic Cardiomyopathy on Electrocardiographic Images with Deep Learning

Sangha V, Dhingra LS, Oikonomou E, Aminorroaya A, Sikand N et al. (2023)

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@misc{identificationo-2023/,
  title={Identification of Hypertrophic Cardiomyopathy on Electrocardiographic Images with Deep Learning},
  author={Sangha V, Dhingra LS, Oikonomou E, Aminorroaya A, Sikand N et al.},
  year = "2023"
}

Deep Learning-enabled Detection of Aortic Stenosis from Noisy Single Lead Electrocardiograms

Aminorroaya A, Dhingra L, Sangha V, Oikonomou E, Khunte A et al. (2023)

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@misc{deeplearningena-2023/,
  title={Deep Learning-enabled Detection of Aortic Stenosis from Noisy Single Lead Electrocardiograms},
  author={Aminorroaya A, Dhingra L, Sangha V, Oikonomou E, Khunte A et al.},
  year = "2023"
}

Study Protocol for the Pilot Evaluation for SMartphone-adaptable Artificial Intelligence for PRediction and DeTection of Left Ventricular Systolic Dysfunction (The SMART-LV Pilot Study Protocol)

Dhingra LS, Aminorroaya A, Sangha V, Khunte A, Oikonomou E et al. (2023)

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@misc{studyprotocolfo-2023/,
  title={Study Protocol for the Pilot Evaluation for SMartphone-adaptable Artificial Intelligence for PRediction and DeTection of Left Ventricular Systolic Dysfunction (The SMART-LV Pilot Study Protocol)},
  author={Dhingra LS, Aminorroaya A, Sangha V, Khunte A, Oikonomou E et al.},
  year = "2023"
}

County-level variation in cardioprotective antihyperglycemic prescribing among medicare beneficiaries.

Hanna J, Nargesi AA, Essien UR, Sangha V, Lin Z et al. (2022), American journal of preventive cardiology, 11, 100370

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@article{countylevelvari-2022/9,
  title={County-level variation in cardioprotective antihyperglycemic prescribing among medicare beneficiaries.},
  author={Hanna J, Nargesi AA, Essien UR, Sangha V, Lin Z et al.},
  journal={American journal of preventive cardiology},
  volume={11},
  pages={100370},
  year = "2022"
}

A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations.

Khera R, Mortazavi BJ, Sangha V, Warner F, Patrick Young H et al. (2022), NPJ digital medicine, 5(1), 27

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@article{amulticentereva-2022/3,
  title={A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations.},
  author={Khera R, Mortazavi BJ, Sangha V, Warner F, Patrick Young H et al.},
  journal={NPJ digital medicine},
  volume={5},
  pages={27},
  year = "2022"
}

Automated multilabel diagnosis on electrocardiographic images and signals.

Sangha V, Mortazavi BJ, Haimovich AD, Ribeiro AH, Brandt CA et al. (2022), Nature communications, 13(1), 1583

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@article{automatedmultil-2022/3,
  title={Automated multilabel diagnosis on electrocardiographic images and signals.},
  author={Sangha V, Mortazavi BJ, Haimovich AD, Ribeiro AH, Brandt CA et al.},
  journal={Nature communications},
  volume={13},
  pages={1583},
  year = "2022"
}

Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices

Khunte A, Sangha V, Oikonomou E, Dhingra L, Aminorroaya A et al. (2022)

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@misc{detectionofleft-2022/,
  title={Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices},
  author={Khunte A, Sangha V, Oikonomou E, Dhingra L, Aminorroaya A et al.},
  year = "2022"
}

Patterns of Prescribing Sodium-Glucose Cotransporter-2 Inhibitors for Medicare Beneficiaries in the United States.

Sangha V, Lipska K, Lin Z, Inzucchi SE, McGuire DK et al. (2021), Circulation. Cardiovascular quality and outcomes, 14(12), e008381

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@article{patternsofpresc-2021/12,
  title={Patterns of Prescribing Sodium-Glucose Cotransporter-2 Inhibitors for Medicare Beneficiaries in the United States.},
  author={Sangha V, Lipska K, Lin Z, Inzucchi SE, McGuire DK et al.},
  journal={Circulation. Cardiovascular quality and outcomes},
  volume={14},
  pages={e008381},
  year = "2021"
}

Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images

Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al. (0)

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BibTeX View PDF
@misc{detectionofleft-/,
  title={Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images},
  author={Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al.}
}