Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study

M Maghami, SA Sattari, M Tahmasbi, P Panahi… - BioMedical Engineering …, 2023 - Springer
Background This systematic review and meta-analysis were conducted to objectively
evaluate the evidence of machine learning (ML) in the patient diagnosis of Intracranial …

A robust deep learning segmentation method for hematoma volumetric detection in intracerebral hemorrhage

N Yu, H Yu, H Li, N Ma, C Hu, J Wang - Stroke, 2022 - Am Heart Assoc
Background and Purpose: Hematoma volume (HV) is a significant diagnosis for determining
the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of …

Consensus Guidelines of the French Society of Neuroradiology (SFNR) on the use of Gadolinium-Based Contrast agents (GBCAs) and related MRI protocols in …

F Lersy, G Boulouis, O Clément, H Desal… - Journal of …, 2020 - Elsevier
Gadolinium-based contrast agents (GBCAs) are used in up to 35% of magnetic resonance
imaging (MRI) examinations and are associated with an excellent safety profile …

Intracerebral hemorrhage detection on computed tomography images using a residual neural network

M Altuve, A Pérez - Physica Medica, 2022 - Elsevier
Intracerebral hemorrhage (ICH) is a high mortality rate, critical medical injury, produced by
the rupture of a blood vessel of the vascular system inside the skull. ICH can lead to …

A symmetric prior knowledge based deep learning model for intracerebral hemorrhage lesion segmentation

M Nijiati, A Tuersun, Y Zhang, Q Yuan, P Gong… - Frontiers in …, 2022 - frontiersin.org
Background: Accurate localization and classification of intracerebral hemorrhage (ICH)
lesions are of great significance for the treatment and prognosis of patients with ICH. The …

Intracerebral hemorrhage imaging based on hybrid deep learning with electrical impedance tomography

Y Shi, Y Wu, M Wang, Z Tian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Intracerebral hemorrhage (ICH) is a common disease that has characteristics of high
disability rate and high mortality rate. Rapid detection and continuous monitoring are crucial …

Mesenchymal stem cell-derived extracellular vesicles mitigate neuronal damage from intracerebral hemorrhage by modulating ferroptosis

Y Yang, L Gao, J Xi, X Liu, H Yang, Q Luo, F Xie… - Stem Cell Research & …, 2024 - Springer
Background Hemorrhagic stroke is a devastating cerebrovascular event with a high rate of
early mortality and long-term disability. The therapeutic potential of mesenchymal stem cell …

Hematoma evacuation via image-guided para-corticospinal tract approach in patients with spontaneous intracerebral hemorrhage

C Zhang, H Ge, S Zhang, D Liu, Z Jiang, C Lan… - Neurology and …, 2021 - Springer
Introduction Corticospinal tract injury caused by direct hematoma compression and
secondary damage induced from blood toxic substances might influence the outcomes in …

Early detection of underlying cavernomas in patients with spontaneous acute intracerebral hematomas

A Bani-Sadr, OF Eker, TH Cho… - American Journal …, 2023 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Early identification of the etiology of spontaneous acute
intracerebral hemorrhage is essential for appropriate management. This study aimed to …

Convolutional neural network and language model-based sequential CT Image captioning for intracerebral hemorrhage

GY Kim, BD Oh, C Kim, YS Kim - Applied Sciences, 2023 - mdpi.com
Intracerebral hemorrhage is a severe problem where more than one-third of patients die
within a month. In diagnosing intracranial hemorrhage, neuroimaging examinations are …