Yeung, J., Sehgal, C., Sagreiya, H. Lung Ultrasound: Utility and Role in Differentiating Alveolar-Interstitial Syndromes. , American Roentgen Ray Society 2026: 2026

Zhuang, R., Borthakur, A., Kahn, C.E., Duda, J., Rader, D., Gee, J.C., Witschey, W.R., Sagreiya, H. Application of Deep Learning-Based CT Quantification of Muscle, Visceral Fat, and Intramuscular Fat to Identify Laboratory and Clinical Risk Factors for Sarcopenia. , Radiological Society of North America: 2025

Mehdiratta, G., Duda, J.T., Elahi, A., Borthakur, A., Chatterjee, N., Gee, J.C., Rader, D.J., MacLean, M.T., Serper, M., Zhang, D., Sagreiya, H., Kahn, C.E., Witschey, W.R. A Multi-Hospital Study of Automated Opportunistic Screening for Hepatic Steatosis. , Radiological Society of North America: 2025

Sagreiya, H. Reply to “Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence.” , American Journal of Roentgenology: 2025

Byun, S., Tewkesbury, G., Beyer, C., Eddinger, K., McLauchlan, N., Tran, A., Cannon, J.W., Knollmann, F., Sagreiya, H. Deep Learning Segmentation Compared to Volume Estimation Formula for the Quantification of Traumatic Hemothorax on Chest CT. , Radiological Society of North America: 2025

Ghonim, M., Ghonim, M., Yeung, J., McLeod, A., Sehgal, C., Sagreiya, H. Inter-observer Agreement for Lung Ultrasound Exams: A Comparative Study of Radiologists-in-training. , Society of Radiologists in Ultrasound Annual Meeting: 2025

Jang, A.M., Duda, J.T., Borthakur, A., Gee, J.C., Carson, C.C., Verma, A., Rader, D.J., Kahn, C.E., Witschey, W.R., Sagreiya, H. Genotypic and Phenotypic Insights from AI-Driven CT Segmentation for Opportunistic Low Bone Density Detection , SIIM-CAIMI 2025 Conference on Artificial Intelligence in Medical Imaging: 2025

Sundaram, K.M., Sagreiya, H., Rosen, M.A. Editorial for “Preoperative Assessment of Extraprostatic Extension in Prostate Cancer Using an Interpretable Tabular Prior-Data Fitted Network-Based Radiomics Model From MRI.” , Journal of Magnetic Resonance Imaging: 2025

Orangi-Fard, N., Bogdan, A., Sagreiya, H. Development of Machine-Learning Based Algorithms for Remote Respiratory Disease Monitoring and Assessment. , Military Medicine, 190(Supplement_2): 2025,814-820

Yao, M.S., Chae, A., Kahn, C.E., Saraiya, P., Kahn, C.E., Witschey, W.R., Gee, J.C., Sagreiya, H.*, Bastani, O.* Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria. , Nature Communications Medicine: 2025