Konen, Eli

Chest pathology detection using deep learning with non-medical training

Bar, Y., Diamant, I., Wolf, L., Lieberman, S., Konen, E., & Greenspan, H. (2015) · 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical Imaging

Cited by 392

Large Language Models and Empathy: Systematic Review

Sorin, V., Brin, D., Barash, Y., Konen, E., Charney, A., Nadkarni, G., & Klang, E. (2024) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationEmpathy and Medical Education

Cited by 240

Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection

Ben-Cohen, A., Klang, E., Raskin, S. P., Soffer, S., Ben-Haim, S., Konen, E., Amitai, M. M., & Greenspan, H. (2019) · Engineering Applications of Artificial Intelligence

Medical Imaging Techniques and ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 231

Large language models for generating medical examinations: systematic review

Artsi, Y., Sorin, V., Konen, E., Glicksberg, B. S., Nadkarni, G., & Klang, E. (2024) · BMC Medical Education

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 128

Trend in radiologist workload compared to number of admissions in the emergency department

Dan Lantsman, C., Barash, Y., Klang, E., Guranda, L., Konen, E., & Tau, N. (2022) · European Journal of Radiology

Radiology practices and educationEmergency and Acute Care Studies

Cited by 85