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paperarXivTrust 82 · PrimaryPublished 6d agoLive · 5d ago

THA-Flow Generative Model: Prosthesis Geometry Prediction from Preoperative CT

Preoperative planning for total hip arthroplasty (THA) is commonly framed as selecting a single prosthesis configuration and placement for a patient's osseous anatomy. In practice, however, the same anatomy may admit several clinically reasonable solutions, making planning inherently a one-to-many problem that is better represented by a conditional probability distribution. We present THA-Flow, a conditional flow-matching model that generates three-dimensional prosthesis geometry directly from preoperative CT. Separate AutoencoderKL models compress preoperative bone anatomy and prosthesis geom

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  • FuzzySimilar title/name (fuzzy) · 84%GoogleCloudPlatform/generative-ai

    Fuzzy title match (0.92): “THA-Flow Generative Model: Prosthesis Geometry Prediction fr” ≈ “GoogleCloudPlatform/generative-ai”

  • FuzzySimilar name plus overlapping authors · 67%bytedance/deer-flow

    Title similarity 0.73; shared authors: wang

  • FuzzyOverlapping authors or contributors · 62%ray-project/ray

    Shared author/contributor keys: wang

  • FuzzySimilar title/name (fuzzy) · 59%steven2358/awesome-generative-ai

    Fuzzy title match (0.73): “THA-Flow Generative Model: Prosthesis Geometry Prediction fr” ≈ “steven2358/awesome-generative-ai”

  • LinkedLinked via arxiv author · 85%Yiping Wang

    THA-Flow Generative Model: Prosthesis Geometry Prediction from Preoperative CT

  • LinkedLinked via arxiv author · 85%Jie Li

    THA-Flow Generative Model: Prosthesis Geometry Prediction from Preoperative CT

  • LinkedLinked via arxiv author · 85%Jingyu Shen

    THA-Flow Generative Model: Prosthesis Geometry Prediction from Preoperative CT

  • LinkedLinked via arxiv author · 85%Liao Wang

    THA-Flow Generative Model: Prosthesis Geometry Prediction from Preoperative CT

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