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- Ronnie Sebro
aka: Ronnie A. Sebro
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Publication search results
found 15 matches
- 2024
- Farid Ghareh Mohammadi, Ronnie Sebro:
Deep-RSIv2: An Efficient Content-Free Deep Learning Approach for Radiographs' Manufacturer and Model Identification. IMCOM 2024: 1-8 - 2023
- Ronnie Sebro, Cynthia De la Garza-Ramos, Jeffrey J. Peterson:
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. Int. J. Comput. Assist. Radiol. Surg. 18(12): 2261-2272 (2023) - Mahmoud Elmahdy, Ronnie Sebro:
A snapshot of artificial intelligence research 2019-2021: is it replacing or assisting physicians? J. Am. Medical Informatics Assoc. 30(9): 1552-1557 (2023) - Ronnie A. Sebro, Charles E. Kahn:
Automated detection of causal relationships among diseases and imaging findings in textual radiology reports. J. Am. Medical Informatics Assoc. 30(10): 1701-1706 (2023) - Mahmoud Elmahdy, Ronnie Sebro:
Opportunistic Screening for Osteoporosis Using CT Scans of the Knee: A Pilot Study. MIE 2023: 909-910 - Farid Ghareh Mohammadi, Ronnie Sebro:
Opportunistic Screening for Osteoporosis Using Hand Radiographs: A Preliminary Study. MIE 2023: 911-912 - 2022
- 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, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison Bai:
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022) - Farid Ghareh Mohammadi, Ronnie Sebro:
Deep-RSI: Deep learning for Radiographs Source Identification. CSCI 2022: 1491-1496 - Ronnie Sebro, Charles E. Kahn Jr.:
Causal Associations Among Diseases and Imaging Findings in Radiology Reports. MIE 2022: 411-412 - 2021
- Mutlu Demirer, Richard D. White, Vikash Gupta, Ronnie A. Sebro, Barbaros S. Erdal:
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest. CoRR abs/2108.11954 (2021) - 2020
- Samir D. Mehta, Ronnie Sebro:
Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier. J. Digit. Imaging 33(1): 204-210 (2020) - Shengbang Fang, Ronnie A. Sebro, Matthew C. Stamm:
A Deep Learning Approach to MRI Scanner Manufacturer and Model Identification. Media Watermarking, Security, and Forensics 2020 - 2019
- Teresa Martin-Carreras, Hongming Li, Kumarasen Cooper, Yong Fan, Ronnie Sebro:
Radiomic features from MRI distinguish myxomas from myxofibrosarcomas. BMC Medical Imaging 19(1): 67:1-67:9 (2019) - Samir D. Mehta, Ronnie Sebro:
Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies. Int. J. Comput. Assist. Radiol. Surg. 14(5): 903-909 (2019) - 2016
- Ronnie Sebro, Thomas Delaney, Francis Hornicek, Joseph Schwab, Edwin Choy, G. Petur Nielsen, Daniel I. Rosenthal:
Differences in sex distribution, anatomic location and MR imaging appearance of pediatric compared to adult chordomas. BMC Medical Imaging 16: 53 (2016)
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