Robust Distance Estimation with Out-of-distribution Detection in Ophthalmic Surgery

Marius Briel; Ludwig Haide; Mathias Reincke; Rebekka Peter; Nicola Piccinelli; Tom Russ; Franziska Mathis-Ullrich; Eleonora Tagliabue

doi:10.1109/tbme.2026.3661297

January 1, 2026IEEE Transactions on Biomedical Engineering

Robust Distance Estimation with Out-of-distribution Detection in Ophthalmic Surgery

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Key Points

The aim is to enhance distance estimation accuracy while detecting out-of-distribution data in surgical settings.
Developed a robust distance estimation algorithm
Integrated out-of-distribution detection techniques
Tested applicability in surgical contexts
Assessed effectiveness in ophthalmic surgery and beyond
Demonstrated improved distance estimation accuracy
Showed effective out-of-distribution detection
Highlighted potential applications in various surgical fields

Implication

Innovative method improves distance estimation in surgical applications, indicating broad benefits for diverse procedures.

Abstract

The proposed method has potential applications beyond ophthalmic surgery, offering benefits to a variety of surgical disciplines and sensorequipped instruments.

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Cite This Study

Briel et al. (2026) studied this question.

synapsesocial.com/papers/6988270a0fc35cd7a8845deb https://doi.org/10.1109/tbme.2026.3661297

View at Publisher

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Robust Distance Estimation with Out-of-distribution Detection in Ophthalmic Surgery

Key Points

Implication

Abstract

Discussion

Cite This Study

Robust Distance Estimation with Out-of-distribution Detection in Ophthalmic Surgery

Key Points

Implication

Abstract

Discussion

Cite This Study

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