Patel, Bhavik N.
Mayo Clinic Hospital
9 papers on CoChatORCID 0000-0001-5157-9903
Most cited papers
- Verified
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Rajpurkar, P., Irvin, J., Ball, R. L., Zhu, K., Yang, B., Mehta, H., Duan, T., Ding, D., Bagul, A., Langlotz, C. P., et al. (2018) · PLOS Medicine
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 1,449
- Verified
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Bien, N., Rajpurkar, P., Ball, R. L., Irvin, J., Park, A., Jones, E., Bereket, M., Patel, B. N., Yeom, K. W., Shpanskaya, K., et al. (2018) · PLOS Medicine
Artificial Intelligence in Healthcare and EducationMedical Imaging and Analysis
Cited by 734
- Verified
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et al. (2019) · arXiv
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 392
- Verified
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et al. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 392
- Verified
Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings
Meyer, M., Ronald, J., Vernuccio, F., Nelson, R. C., Ramirez-Giraldo, J. C., Solomon, J., Patel, B. N., Samei, E., & Marin, D. (2019) · Radiology
Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and Applications
Cited by 258
- Verified
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
Park, A., Chute, C., Rajpurkar, P., Lou, J., Ball, R. L., Shpanskaya, K., Jabarkheel, R., Kim, L. H., McKenna, E., Tseng, J., et al. (2019) · JAMA Network Open
Intracranial Aneurysms: Treatment and ComplicationsMedical Image Segmentation Techniques
Cited by 258
- Verified
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
Patel, B. N., Rosenberg, L., Willcox, G., Baltaxe, D., Lyons, M., Irvin, J., Rajpurkar, P., Amrhein, T., Gupta, R., Halabi, S., et al. (2019) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI
Cited by 254
- Verified
Incidental Coronary Artery Calcium: Opportunistic Screening of Previous Nongated Chest Computed Tomography Scans to Improve Statin Rates (NOTIFY-1 Project)
Sandhu, A. T., Rodriguez, F., Ngo, S., Patel, B. N., Mastrodicasa, D., Eng, D., Khandwala, N., Balla, S., Sousa, D., & Maron, D. J. (2023) · Circulation
Cardiac Imaging and DiagnosticsHealth Promotion and Cardiovascular Prevention
Cited by 174
- Verified
Sociodemographic Differences Among Patients Receiving Coronary Artery Calcium Imaging vs Nongated Chest Computed Tomography Imaging
Peng, A. W., Skye, M., Jain, S. S., Dudum, R., Maron, D. J., Din, N., Patel, B. N., Chaudhari, A. S., Sandhu, A. T., & Rodriguez, F. (2024) · JACC: Advances
Cardiac Imaging and DiagnosticsCoronary Interventions and Diagnostics
Cited by 6
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