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The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning.
- Published in:
- Knee Surgery, Sports Traumatology, Arthroscopy, 2023, v. 31, n. 12, p. 6039, doi. 10.1007/s00167-023-07565-y
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- Article
Defining and predicting radiographic knee osteoarthritis progression: a systematic review of findings from the osteoarthritis initiative.
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- Knee Surgery, Sports Traumatology, Arthroscopy, 2022, v. 30, n. 12, p. 4015, doi. 10.1007/s00167-021-06768-5
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- Article
Poster 221: Application of Machine Learning to Diagnose Patellar Instability on MRI Using a Data-Driven Model.
- Published in:
- 2022
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- Publication type:
- Abstract
Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs.
- Published in:
- Medical Physics, 2021, v. 48, n. 5, p. 2327, doi. 10.1002/mp.14705
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- Article
Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network.
- Published in:
- Journal of Orthopaedic Research, 2020, v. 38, n. 7, p. 1465, doi. 10.1002/jor.24617
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- Article
The Influence of Static Load and Sideways Impact Fall on Extramedullary Bone Plates Used to Treat Intertrochanteric Femoral Fracture: A Preclinical Strength Assessment.
- Published in:
- Annals of Biomedical Engineering, 2022, v. 50, n. 12, p. 1923, doi. 10.1007/s10439-022-03013-z
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- Article
Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs.
- Published in:
- BMC Musculoskeletal Disorders, 2024, v. 25, n. 1, p. 1, doi. 10.1186/s12891-024-07244-0
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- Article