BronchOpt: vision-based pose optimization with fine-tuned foundation models for accurate bronchoscopy navigation.

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Bibliographic Details
Title: BronchOpt: vision-based pose optimization with fine-tuned foundation models for accurate bronchoscopy navigation.
Authors: Shu H; Johns Hopkins University, Baltimore, Maryland, 21218, USA. hshu4@jhu.edu., Soberanis-Mukul RD; Johns Hopkins University, Baltimore, Maryland, 21218, USA., Xu J; Johns Hopkins University, Baltimore, Maryland, 21218, USA., Ding H; Johns Hopkins University, Baltimore, Maryland, 21218, USA., Ringel M; Johnson & Johnson MedTech, Santa Clara, California, 95054, USA., Shen M; Johnson & Johnson MedTech, Santa Clara, California, 95054, USA., Sayed SI; Johnson & Johnson MedTech, Santa Clara, California, 95054, USA., Rafii-Tari H; Johnson & Johnson MedTech, Santa Clara, California, 95054, USA., Unberath M; Johns Hopkins University, Baltimore, Maryland, 21218, USA. unberath@jhu.edu.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2026 May; Vol. 21 (5), pp. 1033-1041. Date of Electronic Publication: 2026 Apr 25.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1861-6429
DOI:10.1007/s11548-026-03629-9