Zaid Nabulsi

Most-cited papers

1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

   Gheorghe Comanici, E. Bieber, Mike Schaekermann, Ice Pasupat +496 more

   2025arXiv.org4,448 citations

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2. Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset

   L. Blankemeier, Ashwin Kumar, J. Cohen, Jia-Ming Liu +36 more

   2024Nature190 citations Open access

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3. Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.

   S. Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim +20 more

   2022Radiology85 citations Open access

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4. Simplified Transfer Learning for Chest Radiography Models Using Less Data.

   Andrew B. Sellergren, Christina Chen, Zaid Nabulsi, Yuanzhen Li +14 more

   2022Radiology79 citations

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5. Merlin: A Vision Language Foundation Model for 3D Computed Tomography

   L. Blankemeier, J. Cohen, Ashwin Kumar, Dave Van Veen +27 more

   2024Research Square64 citations Open access

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6. Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

   Zaid Nabulsi, Andrew B. Sellergren, Shahar Jamshy, Charles Lau +19 more

   2020Scientific Reports53 citations Open access

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7. HeAR - Health Acoustic Representations

   Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison +14 more

   2024arXiv.org39 citations

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8. Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities

   S. Kazemzadeh, A. Kiraly, Zaid Nabulsi, N. Sanjase +20 more

   2024NEJM AI21 citations

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9. Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan

   A. Kiraly, Corbin A Cunningham, Ryan Najafi, Zaid Nabulsi +21 more

   2024Radiology: Artificial Intelligence15 citations Open access

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10. Predicting Poverty Level from Satellite Imagery using Deep Neural Networks

    Varun Chitturi, Zaid Nabulsi

    2021arXiv.org8 citations

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11. Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries

    S. Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim +20 more

    2021arXiv.org6 citations

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12. Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals

    Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison +4 more

    2023arXiv.org3 citations Open access

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13. MRNGAN: Reconstructing 3D MRI Scans Using A Recurrent Generative Model

    Zaid Nabulsi, Vineet Kosaraju, Shuvam Chakraborty

    20182 citations

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14. CLE-SMOTE: Addressing Extreme Imbalanced Data Classification with Contrastive Learning-Enhanced SMOTE

    Cara Lee, Faisal Nabulsi, Michael Xu, Christopher Kan +8 more

    1 citations

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15. Mapping non-coding RNAs (ncRNAs) in cancer research: Bibliometric trends, emerging themes, and implications for diagnostics and therapy

    Yasser Bustanji, Laila Al-Omari, Jalal Taneera, Shereen M. Aleidi +7 more

    2026Advances in Life Sciences0 citations Open access

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16. ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding

    Andrew Kan, Christopher Kan, Zaid Nabulsi

    2024arXiv.org0 citations

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