Ronnie Sebro
Orcid: 0000-0001-7232-4416
According to our database1,
Ronnie Sebro
authored at least 17 papers
between 2016 and 2024.
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Bibliography
2024
Utilizing Generalized Linear Mixed Effects Models for Prediction of Bone Mineral Decrease After Lung Transplant - A Preliminary Study.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Opportunistic Screening for Osteoporosis Using Hand Radiographs - A Feature Augmentation Study Technique (FAST).
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Deep-RSIv2: An Efficient Content-Free Deep Learning Approach for Radiographs' Manufacturer and Model Identification.
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.
Int. J. Comput. Assist. Radiol. Surg., December, 2023
Automated detection of causal relationships among diseases and imaging findings in textual radiology reports.
J. Am. Medical Informatics Assoc., September, 2023
A snapshot of artificial intelligence research 2019-2021: is it replacing or assisting physicians?
J. Am. Medical Informatics Assoc., August, 2023
Opportunistic Screening for Osteoporosis Using Hand Radiographs: A Preliminary Study.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
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.
npj Digit. Medicine, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
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.
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.
J. Digit. Imaging, 2020
Proceedings of the Media Watermarking, 2020
2019
Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies.
Int. J. Comput. Assist. Radiol. Surg., 2019
BMC Medical Imaging, 2019
2016
Differences in sex distribution, anatomic location and MR imaging appearance of pediatric compared to adult chordomas.
BMC Medical Imaging, 2016