Search Results - Amara Tariq

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  1. 21
    Graph convolutional network-based fusion model to predict risk of hospital acquired infections

    Graph convolutional network-based fusion model to predict risk of hospital acquired infections by Tariq, Amara, Lancaster, Lin, Elugunti, Praneetha, Siebeneck, Eric, Noe, Katherine, Borah, Bijan, Moriarty, James, Banerjee, Imon, Patel, Bhavik N

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  2. 22
    Comparative Analysis of Fusion Strategies for Imaging and Non-imaging Data - Use-case of Hospital Discharge Prediction

    Comparative Analysis of Fusion Strategies for Imaging and Non-imaging Data - Use-case of Hospital Discharge Prediction by Parikh, Vedant, Tariq, Amara, Patel, Bhavik, Banerjee, Imon

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  3. 23
    Query bot for retrieving patients’ clinical history: A COVID-19 use-case

    Query bot for retrieving patients’ clinical history: A COVID-19 use-case by Wang, Yibo, Tariq, Amara, Khan, Fiza, Gichoya, Judy Wawira, Trivedi, Hari, Banerjee, Imon

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  4. 24
    Scene-based automatic image annotation

    Scene-based automatic image annotation by Tariq, Amara, Foroosh, Hassan

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  5. 25
    PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL

    PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL by Tariq, Amara, Celi, Leo, Newsome, Janice, Purkayastha, Saptarchi, Bhatia, Neal, Merchant, Faisal, Trivedi, Hari, Gichoya, Judy, Banerjee, Imon

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  6. 26
    Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction

    Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction by Tariq, Amara, Tang, Siyi, Sakhi, Hifza, Celi, Leo Anthony, Newsome, Janice M., Rubin, Daniel, Trivedi, Hari, Gichoya, Judy, Patel, Bhavik, Banerjee, Imon

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  7. 27
    A Context-driven Extractive Framework for Generating Realistic Image Descriptions

    A Context-driven Extractive Framework for Generating Realistic Image Descriptions by Tariq, Amara, Foroosh, Hassan

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  8. 28
    Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission

    Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission by Tang, Siyi, Amara Tariq, Dunnmon, Jared, Sharma, Umesh, Elugunti, Praneetha, Rubin, Daniel, Patel, Bhavik N, Banerjee, Imon

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  9. 29
    Patient-centric Summarization of Radiology Findings using Two-step Training of Large Language Models

    Patient-centric Summarization of Radiology Findings using Two-step Training of Large Language Models by Tariq, Amara, Trivedi, Shubham, Urooj, Aisha, Ramasamy, Gokul, Fathizadeh, Sam, Stib, Matthew, Tan, Nelly, Patel, Bhavik, Banerjee, Imon

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  10. 30
    PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain

    PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain by Santos, Thiago, Tariq, Amara, Das, Susmita, Vayalpati, Kavyasree, Smith, Geoffrey H., Trivedi, Hari, Banerjee, Imon

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  11. 31
    Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography

    Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography by Tariq, Amara, Van Assen, Marly, De Cecco, Carlo N., Banerjee, Imon

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  12. 32
    PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain

    PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain by Santos, Thiago, Tariq, Amara, Das, Susmita, Vayalpati, Kavyasree, Smith, Geoffrey H, Trivedi, Hari, Banerjee, Imon

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  13. 33
    Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients

    Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients by Tariq, Amara, Tang, Siyi, Sakhi, Hifza, Celi, Leo Anthony, Newsome, Janice M., Rubin, Daniel L., Trivedi, Hari, Gichoya, Judy Wawira, Banerjee, Imon

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  14. 34
    Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction

    Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction by Tariq, Amara, Tang, Siyi, Sakhi, Hifza, Celi, Leo Anthony, Newsome, Janice M., Rubin, Daniel L., Trivedi, Hari, Gichoy, Judy Wawira, Patel, Bhavik, Banerjee, Imon

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  15. 35
    Domain Adaptation For Lane Marking: An Unsupervised Approach

    Domain Adaptation For Lane Marking: An Unsupervised Approach by Saqib, Ammar, Sajid, Sarah, Arif, Sheikh Mahad, Tariq, Amara, Ashraf, Nazim

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  16. 36
    Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction

    Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction by Tariq, Amara, Tang, Siyi, Sakhi, Hifza, Celi, Leo Anthony, Newsome, Janice M, Rubin, Daniel L, Trivedi, Hari, Gichoy, Judy Wawira, Patel, Bhavik, Banerjee, Imon

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  17. 37
    Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts

    Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts by Rachel Hall-Clifford, Alejandro Arzu, Saul Contreras, Maria Gabriela Croissert Muguercia, Diana Ximena de Leon Figueroa, Maria Valeria Ochoa Elias, Anna Yunuen Soto Fernández, Amara Tariq, Imon Banerjee, Pamela Pennington

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  18. 38
    Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine

    Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine by Tariq, Amara, Dumitrascu, Oana, Luo, Man, Dumkrieger, Gina, Schwedt, Todd J., Chong, Catherine, Banerjee, Imon

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  19. 39
    Learning Semantics for Image Annotation

    Learning Semantics for Image Annotation by Amara Tariq, oosh, Hassan

    Published in arXiv.org
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  20. 40
    Image Annotation using Multi-Layer Sparse Coding

    Image Annotation using Multi-Layer Sparse Coding by Amara Tariq, oosh, Hassan

    Published in arXiv.org
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