Soffer, Shelly

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

Sociodemographic biases in medical decision making by large language models

Omar, M., Soffer, S., Agbareia, R., Bragazzi, N. L., Apakama, D. U., Horowitz, C. R., Charney, A. W., Freeman, R., Kummer, B., Glicksberg, B. S., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 173

The association between obesity and peak antibody titer response in COVID‐19 infection

Soffer, S., Glicksberg, B. S., Zimlichman, E., Efros, O., Levin, M. A., Freeman, R., Reich, D. L., & Klang, E. (2021) · Obesity

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 48

Retrieval-Augmented Generation: Advancing personalized care and research in oncology

Zarfati, M., Soffer, S., Nadkarni, G. N., & Klang, E. (2025) · European Journal of Cancer

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 20

Deep learning in voice analysis for diagnosing vocal cord pathologies: a systematic review

Tessler, I., Primov-Fever, A., Soffer, S., Anteby, R., Gecel, N. A., Livneh, N., Alon, E. E., Zimlichman, E., & Klang, E. (2024) · European Archives of Oto-Rhino-Laryngology

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 18