Ronnie Sebro

According to our database, Ronnie Sebro authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep-RSIv2: An Efficient Content-Free Deep Learning Approach for Radiographs' Manufacturer and Model Identification.

Farid Ghareh Mohammadi, Ronnie Sebro

Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

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., December, 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., September, 2023

A snapshot of artificial intelligence research 2019-2021: is it replacing or assisting physicians?

Mahmoud Elmahdy, Ronnie Sebro

J. Am. Medical Informatics Assoc., August, 2023

Opportunistic Screening for Osteoporosis Using Hand Radiographs: A Preliminary Study.

Farid Ghareh Mohammadi, Ronnie Sebro

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Opportunistic Screening for Osteoporosis Using CT Scans of the Knee: A Pilot Study.

Mahmoud Elmahdy, Ronnie Sebro

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

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, 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

npj Digit. Medicine, 2022

Causal Associations Among Diseases and Imaging Findings in Radiology Reports.

Ronnie Sebro, Charles E. Kahn Jr.

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Deep-RSI: Deep learning for Radiographs Source Identification.

Farid Ghareh Mohammadi, Ronnie Sebro

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

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

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

A Deep Learning Approach to MRI Scanner Manufacturer and Model Identification.

Shengbang Fang, Ronnie A. Sebro, Matthew C. Stamm

Proceedings of the Media Watermarking, 2020

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

Radiomic features from MRI distinguish myxomas from myxofibrosarcomas.

Teresa Martin-Carreras, Hongming Li, Kumarasen Cooper, Yong Fan, Ronnie Sebro

BMC Medical Imaging, 2019

2016

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