A transfer learning approach for automatic segmentation of the surgically treated anterior cruciate ligament-Reference-Cited by-同舟云学术

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A transfer learning approach for automatic segmentation of the surgically treated anterior cruciate ligament

Published:2021-01-27 Issue:1 Volume:40 Page:277-284
ISSN:0736-0266
Container-title:Journal of Orthopaedic Research
language:en
Short-container-title:Journal Orthopaedic Research

Author:

Flannery Sean W.¹^ORCID,Kiapour Ata M.²^ORCID,Edgar David J.¹^ORCID,Murray Martha M.²^ORCID,Beveridge Jillian E.¹³^ORCID,Fleming Braden C.¹^ORCID

Affiliation:

1. Department of Orthopaedics Warren Alpert Medical School of Brown University/Rhode Island Hospital Providence Rhode Island USA

2. Department of Orthopaedic Surgery, Division of Sports Medicine Boston Children's Hospital, Harvard Medical School Boston Massachusetts USA

3. Department of Biomedical Engineering Cleveland Clinic Cleveland Ohio USA

Publisher

Wiley

Subject

Orthopedics and Sports Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jor.24984

Reference36 articles.

1. Fully automatic analysis of the knee articular cartilageT1ρrelaxation time using voxel-based relaxometry

2. Longitudinal changes in MR T1ρ/T2 signal of meniscus and its association with cartilage T1p/T2 in ACL-injured patients

3. The influences of walking, running and stair activity on knee articular cartilage: Quantitative MRI using T1 rho and T2 mapping

4. Cartilage Subsurface Changes to Magnetic Resonance Imaging UTE-T2* 2 Years After Anterior Cruciate Ligament Reconstruction Correlate With Walking Mechanics Associated With Knee Osteoarthritis

5. MRI UTE-T2* profile characteristics correlate to walking mechanics and patient reported outcomes 2 years after ACL reconstruction

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1. A personalized insertion centers preoperative positioning method for minimally invasive surgery of cruciate ligament reconstruction;The Visual Computer;2024-04-17

2. Comprehensive evaluation of magnetic resonance imaging sequences for signal intensity based assessment of anterior cruciate ligament healing following surgical treatment;Journal of Orthopaedic Research;2024-02-05

3. Lightweight Attentive Graph Neural Network with Conditional Random Field for Diagnosis of Anterior Cruciate Ligament Tear;Journal of Imaging Informatics in Medicine;2024-01-16

4. Approaching expert-level accuracy for differentiating ACL tear types on MRI with deep learning;Scientific Reports;2024-01-10

5. Improving anterior cruciate ligament tear detection and grading through efficient use of inter-slice information and simplified transformer module;Biomedical Signal Processing and Control;2023-09

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