ETT-LDx: transformer-based landmark detection system for endotracheal tube placement verification in chest radiographs

Authors

Institutions

Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1117/12.3047472
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ETT-LDx: transformer-based landmark detection system for endotracheal tube placement verification in chest radiographs

Axel Wismüller, Nathan Hadjiyski, Ali Vosoughi, Akhil Kasturi
COVID-19 diagnosis using AI
article

ETT-LDx: transformer-based landmark detection system for endotracheal tube placement verification in chest radiographs

Axel Wismüller, Nathan Hadjiyski, Ali Vosoughi, Akhil Kasturi
article en

Abstract

No abstract available for this paper.
University of Rochester (US), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 90%
COVID-19 diagnosis using AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ETT-LDx: transformer-based landmark detection system for endotracheal tube placement verification in chest radiographs — Axel Wismüller, Nathan Hadjiyski, et al. · (2025) | TGRS Research Map | TGRS