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1.
Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs.
BMC Musculoskelet Disord
; 25(1): 117, 2024 Feb 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-38336666
2.
The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning.
Knee Surg Sports Traumatol Arthrosc
; 31(12): 6039-6045, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37823903
3.
Defining and predicting radiographic knee osteoarthritis progression: a systematic review of findings from the osteoarthritis initiative.
Knee Surg Sports Traumatol Arthrosc
; 30(12): 4015-4028, 2022 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-35112180
4.
The Influence of Static Load and Sideways Impact Fall on Extramedullary Bone Plates Used to Treat Intertrochanteric Femoral Fracture: A Preclinical Strength Assessment.
Ann Biomed Eng
; 50(12): 1923-1940, 2022 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-35821164
5.
A scoping review of transfer learning research on medical image analysis using ImageNet.
Comput Biol Med
; 128: 104115, 2021 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33227578
6.
Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.
Comput Biol Med
; 129: 104140, 2021 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33278631
7.
Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs.
Med Phys
; 48(5): 2327-2336, 2021 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-33411949
8.
Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network.
J Orthop Res
; 38(7): 1465-1471, 2020 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-31997411
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