Yeom, Kristen W.

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

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

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

Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)

Kelly, B. S., Judge, C., Bollard, S. M., Clifford, S. M., Healy, G. M., Aziz, A., Mathur, P., Islam, S., Yeom, K. W., Lawlor, A., et al. (2022) · European Radiology

Artificial Intelligence in Healthcare and EducationMedical Image Segmentation Techniques

Cited by 252

Clinical applications of iron oxide nanoparticles for magnetic resonance imaging of brain tumors

Iv, M., Telischak, N., Feng, D., Holdsworth, S. J., Yeom, K. W., & Daldrup-Link, H. E. (2015) · Nanomedicine

Characterization and Applications of Magnetic NanoparticlesNanoparticle-Based Drug Delivery

Cited by 134