Automated ACL Footprint Identification Using 3D Deep Learning
One of the most common reasons for anterior cruciate ligament (ACL) reconstruction failure is femoral tunnel malpositioning (ACL footprint center and tunnel orientation). Such failures may lead to the development of meniscal pathology and osteoarthritis. Accurate ACL femoral footprint identification is therefore essential for precise tunnel placement, restoration of the native knee joint mechanics, post-surgical knee joint health and prevention of graft failure. Recent advances in artificial intelligence (AI) bring new opportunities to improve image-guided orthopedic surgery. However, at prese
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 87%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.94): “Automated ACL Footprint Identification Using 3D Deep Learnin” ≈ “aymericdamien/TopDeepLearning””
- FuzzyOverlapping authors or contributors · 62%DietrichGebert/ponytail →
“Shared author/contributor keys: cheng”
- LinkedLinked via arxiv author · 85%Ruida Cheng →
“Automated ACL Footprint Identification Using 3D Deep Learning”
- LinkedLinked via arxiv author · 85%Ali Uneri →
“Automated ACL Footprint Identification Using 3D Deep Learning”
- LinkedLinked via arxiv author · 85%Gabriel Gibson →
“Automated ACL Footprint Identification Using 3D Deep Learning”
- LinkedLinked via arxiv author · 85%Frances T. Sheehan →
“Automated ACL Footprint Identification Using 3D Deep Learning”
- LinkedLinked via arxiv author · 85%Barry Boden →
“Automated ACL Footprint Identification Using 3D Deep Learning”
- FuzzySimilar title/name (fuzzy) · 66%kmario23/deep-learning-drizzle →
“Fuzzy title match (0.78): “Automated ACL Footprint Identification Using 3D Deep Learnin” ≈ “kmario23/deep-learning-drizzle””