Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature

Freqformer has promising clinical applications in early detection, detailed microvasculature analysis, and monitoring of retinal vascular diseases through advanced 3-D quantitative assessments.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-09-19
DOI
https://doi.org/10.1109/tbme.2025.3612332
Citations
1
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature

Shaohua Pi, José‐Alain Sahel, Jay Kumar Chhablani, Lingyun Wang et al.
1 citations
IEEE Transactions on Biomedical Engineering
Retinal Imaging and Analysis
1.36
article

Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature

Shaohua Pi, José‐Alain Sahel, Jay Kumar Chhablani, Lingyun Wang, Bingjie Wang
article en
1 citations

Abstract

Freqformer has promising clinical applications in early detection, detailed microvasculature analysis, and monitoring of retinal vascular diseases through advanced 3-D quantitative assessments.

IEEE Transactions on Biomedical EngineeringVol. 73(4)
University of Pittsburgh (US)
Openalex Percentile: Top 16%
Retinal Imaging and Analysis
1.36
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.