Publications by authors named "Dominicus Dimitri"
A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.
I Gusti Lanang Ngurah Agung Artha Wiguna Yosi Kristian Maria Florencia Deslivia Rudi Limantara David Cahyadi Dominicus Dimitri
Eur Spine J
November 2024
Article Synopsis
- The study investigated the use of deep learning techniques to assess the severity of cervical spinal cord injuries (SCI) from MRI scans, addressing limitations in the standard assessment method (ASIA Impairment Scale).
- Patients with cervical SCI from 2019 to 2022 had their MRI images labeled by physicians, and a deep convolutional neural network was trained for image segmentation and classification.
- The model demonstrated high accuracy, achieving impressive Dice and IoU scores for spinal cord segmentation and a decent F1 score for classification, indicating potential for more advanced predictive models in future research.
The aim of this study is to analyse the needs for pre-operative rehabilitation in patients undergoing ACL reconstruction. The database reports were searched within 2018 to 2023, using PubMed, Cochrane library database, Medline, and other published trials. A statistical analysis was made from Review Manager.
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