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Blood Advances|April 30, 2026
Retinal imaging and supervised learning predict hospitalizations, kidney, and heart-lung damage in sickle cell diseaseSarah McCuskee, Zelong Liu, Hao-Chih Lee, et al.Radiology|February 5, 2020
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)Michael Chung, Adam Bernheim, Xueyan Mei, et al.Radiology|February 21, 2020
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of InfectionAdam Bernheim, Xueyan Mei, Mingqian Huang, et al.Radiology. Imaging Cancer|April 17, 2026
ONCO-RADS-guided Large Language Models for Extraction and Classification of Incidental Findings on Whole-Body Imaging ReportsMickael Tordjman, Murat Yuce, Zelong Liu, et al.Radiology. Artificial Intelligence|October 7, 2022
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer LearningXueyan Mei, Zelong Liu, Philip M Robson, et al.Clinical Nuclear Medicine|July 11, 2025
Comparison of MRI, [18F]FDG-PET/CT, and [18F]FDG-PET/MRI for Initial Staging of Multiple Myeloma: A Systematic Review and Meta-analysisMickael Tordjman, Murat Yuce, Amine Geahchan, et al.American Journal of Hematology|May 14, 2026
Timing and Pattern of Extraosseous Dissemination Are Key Determinants of Survival in Multiple MyelomaMickael Tordjman, Anis Meribout, Amine Geahchan, et al.Radiology Advances|October 8, 2025
MRAnnotator: multi-anatomy and many-sequence MRI segmentation of 44 structuresAlexander Zhou, Zelong Liu, Andrew Tieu, et al.Clinical Imaging|March 3, 2023
Influence of thoracic radiology training on classification of interstitial lung diseasesMarcia Lange, Priyanka Boddu, Ayushi Singh, et al.Nature Communications|April 20, 2023
Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal dataXueyan Mei, Zelong Liu, Ayushi Singh, et al.Pageof 3