Deep learning accelerated image reconstruction of fluid-attenuated inversion recovery sequence in brain imaging: reduction of acquisition time and improvement of …

A Estler, TK Hauser, A Mengel, M Brunnée… - Academic …, 2024 - Elsevier
Rationale and Objectives Fluid-attenuated inversion recovery (FLAIR) imaging is playing an
increasingly significant role in the detection of brain metastases with a concomitant increase …

[HTML][HTML] Spontaneous intracerebral hemorrhage, initial computed tomography (CT) scan findings, clinical manifestations and possible risk factors

M Bahrami, M Keyhanifard, M Afzali - American Journal of Nuclear …, 2022 - ncbi.nlm.nih.gov
Intracerebral hemorrhage is one of the types of stroke in patients with risk factors. In this
study, we aimed to evaluate the initial computed tomography (CT) scan findings, clinical …

A multimodal knowledge-based deep learning approach for mgmt promoter methylation identification

S Capuozzo, M Gravina, G Gatta, S Marrone… - Journal of …, 2022 - mdpi.com
Glioblastoma Multiforme (GBM) is considered one of the most aggressive malignant tumors,
characterized by a tremendously low survival rate. Despite alkylating chemotherapy being …

SSGNet: Selective Multi-Scale Receptive Field and Kernel Self-Attention Based on Group-Wise Modality for Brain Tumor Segmentation

B Guo, N Cao, P Yang, R Zhang - Electronics, 2024 - mdpi.com
Medical image processing has been used in medical image analysis for many years and
has achieved great success. However, one challenge is that medical image processing …

A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture

C Dachraoui, A Mouelhi, A Mosbeh, W Sliti… - Multimedia Tools and …, 2024 - Springer
Multiple sclerosis is a prevalent inflammatory disease affecting the central nervous system,
leading to demyelination. Neuroradiology relies on accurate analysis of white matter lesions …

Brain tissue magnetic resonance imaging segmentation using anisotropic textural features

A Arzehgar, F Davarinia, MM Khalilzadeh - Multimedia Tools and …, 2024 - Springer
One of the most useful diagnostic tests for brain diseases is magnetic resonance imaging
(MRI). It is a demanding task to segment brain tissue into cerebrospinal fluid (CSF), gray …

[HTML][HTML] A Case of Rheumatoid Meningitis Diagnosed with FLAIR Images and Anti-cyclic Citrullinated Peptide Antibodies Levels

T Suzuki, Y Akamatsu, S Oshida… - NMC Case Report …, 2024 - jstage.jst.go.jp
Rheumatoid meningitis (RM) is a rare but serious extra-articular manifestation of rheumatoid
arthritis. Due to the absence of specific biomarkers, imaging findings, or guidelines for its …

Deep Learning Aided Accelerated MR Acquisition Reconstruction and Evaluation

C Tang - 2024 - search.proquest.com
Magnetic resonance imaging (MRI) is a non-ionizing imaging modality that provides
excellent soft tissue contrast and has been widely used clinically for structural and functional …

A systematic review of the performance of Artificial Intelligence for automated DWI/FLAIR mismatch evaluation on MRI in ischemic stroke

Z Soltanali, A Pourrahim, CRA Williams, MH Ekvan… - 2024 - researchsquare.com
The purpose of this study was to survey the existing artificial intelligence (AI) algorithms
created for the automated detection of the diffusion-weighted imaging (DWI)–fluid …

[PDF][PDF] Arne Estler, Till-Karsten Hauser, Annerose Mengel, Merle Brunnée, Leonie Zerweck, Vivien Richter

M Zuena, M Schuhholz, U Ernemann, G Gohla - 2023 - researchgate.net
Rationale and Objectives: Fluid-attenuated inversion recovery (FLAIR) imaging is playing an
increasingly significant role in the detection of brain metastases with a concomitant increase …