AI‐based Microbleed Detection for ARIA Radiographic Severity Assessment

This study presents a robust automatic microbleed detection approach using SWI, facilitating ARIA-H assessment in diagnosis and severity categorization. Future work will involve multi-center external validation, supporting additional sequences, and incorporating additional ARIA-related factors for more comprehensive detection.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_100169
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI‐based Microbleed Detection for ARIA Radiographic Severity Assessment

Chong Hyun Suh, Saehyun Kim, Seung Hyun Lee, Wooseok Jung
Alzheimer s & Dementia
Intracerebral and Subarachnoid Hemorrhage Research
article

AI‐based Microbleed Detection for ARIA Radiographic Severity Assessment

Chong Hyun Suh, Saehyun Kim, Seung Hyun Lee, Wooseok Jung
article en

Abstract

This study presents a robust automatic microbleed detection approach using SWI, facilitating ARIA-H assessment in diagnosis and severity categorization. Future work will involve multi-center external validation, supporting additional sequences, and incorporating additional ARIA-related factors for more comprehensive detection.

Alzheimer s & DementiaVol. 21(S2)
Ulsan College (KR), University of Seoul (KR), Asan Medical Center (KR), University of Ulsan (KR), Seoil University (KR)
Quality Education
Openalex Percentile: Top 31%
Intracerebral and Subarachnoid Hemorrhage Research
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.