Longitudinal assessment of lung lesion burden in CT

Authors

Institutions

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1117/12.3049018
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal assessment of lung lesion burden in CT

Ronald M. Summers, Tejas Sudharshan Mathai, Benjamin Hou
Radiomics and Machine Learning in Medical Imaging
article

Longitudinal assessment of lung lesion burden in CT

Ronald M. Summers, Tejas Sudharshan Mathai, Benjamin Hou
article en

Abstract

No abstract available for this paper.
National Institutes of Health (US)
Good health and well-being
Openalex Percentile: Top 96%
Radiomics and Machine Learning in Medical Imaging
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.

Longitudinal assessment of lung lesion burden in CT — Ronald M. Summers, Tejas Sudharshan Mathai, et al. · (2025) | TGRS Research Map | TGRS