Transformers-based architectures for stroke segmentation: A review

Y Zafari-Ghadim, EA Rashed, A Mohamed… - Artificial Intelligence …, 2024 - Springer
Stroke remains a significant global health concern, necessitating precise and efficient
diagnostic tools for timely intervention and improved patient outcomes. The emergence of …

Automated Radiology Report Generation: A Review of Recent Advances

P Sloan, P Clatworthy, E Simpson… - IEEE Reviews in …, 2024 - ieeexplore.ieee.org
Increasing demands on medical imaging departments are taking a toll on the radiologist's
ability to deliver timely and accurate reports. Recent technological advances in artificial …

The stroke outcome optimization project: Acute ischemic strokes from a comprehensive stroke center

J Absher, S Goncher, R Newman-Norlund, N Perkins… - Scientific Data, 2024 - nature.com
Stroke is a leading cause of disability, and Magnetic Resonance Imaging (MRI) is routinely
acquired for acute stroke management. Publicly sharing these datasets can aid in the …

APIS: a paired CT-MRI dataset for ischemic stroke segmentation-methods and challenges

S Gómez, E Rangel, D Mantilla, A Ortiz, P Camacho… - Scientific Reports, 2024 - nature.com
Stroke, the second leading cause of mortality globally, predominantly results from ischemic
conditions. Immediate attention and diagnosis, related to the characterization of brain …

A robust ensemble algorithm for ischemic stroke lesion segmentation: Generalizability and clinical utility beyond the isles challenge

E de la Rosa, M Reyes, SL Liew, A Hutton… - arxiv preprint arxiv …, 2024 - arxiv.org
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and
prognosis. However, image and disease variability hinder the development of generalizable …

ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-) acute stroke

EO Riedel, E de la Rosa, TA Baran… - arxiv preprint arxiv …, 2024 - arxiv.org
Stroke remains a leading cause of global morbidity and mortality, placing a heavy
socioeconomic burden. Over the past decade, advances in endovascular reperfusion …

A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation

Z Liu, K Kainth, A Zhou, TW Deyer… - NMR in …, 2024 - Wiley Online Library
Magnetic resonance imaging (MRI) is a ubiquitous medical imaging technology with
applications in disease diagnostics, intervention, and treatment planning. Accurate MRI …

The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint

H Baazaoui, ST Engelter, H Gensicke… - Frontiers in …, 2025 - frontiersin.org
Purpose The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC)
repository is a collaboration established in 2024 by seven stroke centres in Europe. MAGIC …

[PDF][PDF] From MRIcro to MRIcron: The evolution of neuroimaging visualization tools

C Rorden - Neuropsychologia, 2025 - drive.google.com
Visualization software is a critical component at every stage of neuroimaging research. It
enables researchers to inspect raw or processed datasets for artifacts, to identify anomalies …

[HTML][HTML] Expanding Diagnostic Workup for Hypertensive Intracerebral Hemorrhage: a Retrospective LATAM Cerebrovascular Registry Comparison

A Jiménez-Ruiz, NN Becerra-Aguiar… - Revista de …, 2024 - scielo.org.mx
JIMENEZ-RUIZ, Amado et al. Expanding Diagnostic Workup for Hypertensive Intracerebral
Hemorrhage: a Retrospective LATAM Cerebrovascular Registry Comparison. Rev. invest …