Differences in sex distribution, anatomic location and MR imaging appearance of pediatric compared to adult chordomas. - Ronnie Sebro; Thomas Delaney; Francis Hornicek; Joseph Schwab; Edwin Choy; G. Petur Nielsen; Daniel I. Rosenthal (BMC Medical Imaging, 2016)

Radiomic features from MRI distinguish myxomas from myxofibrosarcomas. - Teresa Martin-Carreras; Hongming Li; Kumarasen Cooper; Yong Fan 001; Ronnie Sebro (BMC Medical Imaging, 2019)

Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies. - Samir D. Mehta; Ronnie Sebro (Int. J. Comput. Assist. Radiol. Surg., 2019)

A Deep Learning Approach to MRI Scanner Manufacturer and Model Identification. - Shengbang Fang; Ronnie A. Sebro; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2020)

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier. - Samir D. Mehta; Ronnie Sebro (J. Digit. Imaging, 2020)

Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest. - Mutlu Demirer; Richard D. White; Vikash Gupta; Ronnie A. Sebro; Barbaros S. Erdal (CoRR, 2021)

Deep-RSI: Deep learning for Radiographs Source Identification. - Farid Ghareh Mohammadi; Ronnie Sebro (CSCI, 2022)

Causal Associations Among Diseases and Imaging Findings in Radiology Reports. - Ronnie Sebro; Charles E. Kahn Jr. (MIE, 2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

Opportunistic Screening for Osteoporosis Using CT Scans of the Knee: A Pilot Study. - Mahmoud Elmahdy; Ronnie Sebro (MIE, 2023)

Opportunistic Screening for Osteoporosis Using Hand Radiographs: A Preliminary Study. - Farid Ghareh Mohammadi; Ronnie Sebro (MIE, 2023)

A snapshot of artificial intelligence research 2019-2021: is it replacing or assisting physicians? - Mahmoud Elmahdy; Ronnie Sebro (J. Am. Medical Informatics Assoc., 2023)

Automated detection of causal relationships among diseases and imaging findings in textual radiology reports. - Ronnie A. Sebro; Charles E. Kahn (J. Am. Medical Informatics Assoc., 2023)

Detecting whether L1 or other lumbar levels would be excluded from DXA bone mineral density analysis during opportunistic CT screening for osteoporosis using machine learning. - Ronnie Sebro; Cynthia De la Garza-Ramos; Jeffrey J. Peterson (Int. J. Comput. Assist. Radiol. Surg., 2023)

Deep-RSIv2: An Efficient Content-Free Deep Learning Approach for Radiographs' Manufacturer and Model Identification. - Farid Ghareh Mohammadi; Ronnie Sebro (IMCOM, 2024)

Opportunistic Screening for Osteoporosis Using Hand Radiographs - A Feature Augmentation Study Technique (FAST). - Farid Ghareh Mohammadi; Ronnie Sebro (MIE, 2024)

Utilizing Generalized Linear Mixed Effects Models for Prediction of Bone Mineral Decrease After Lung Transplant - A Preliminary Study. - Ronnie Sebro; Mahmoud Elmahdy (MIE, 2024)