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Record W2114597714 · doi:10.1109/cca.2005.1507096

Suturing for surface meshes

2005· article· en· W2114597714 on OpenAlex
Shahram Payandeh, John C. Dill

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Numerical Analysis Techniques
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPolygon meshComputer scienceComputer graphics (images)

Abstract

fetched live from OpenAlex

We present a suturing simulator for surgery operating on spring-mass surface meshes. The rope model we use for suturing is a geometry-based model which includes the capability to form a knot. We extend a previous suture model to maintain a consistent flexibility when conflicting constraints cause the suture to stretch. The suture, which is attached to a needle, cam be manipulated by the user to stitch a virtual cut on a surface. When the needle pierces the deformable model, the surface mesh is subdivided at the contact point using a novel subdivision algorithm. During suturing, the simulation of the pierced mesh differs depending on whether it is pierced by the needle, or has passed on to the suture. To aid the interactions between the deformable and the suture models, a novel quasi-spring tension method is presented. As an aid to creating tutorials for surgical students, we present a knot planner which can tie knots for demonstration

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.628
Threshold uncertainty score0.217

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.235
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations15
Published2005
Admission routes1
Has abstractyes

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