Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report [PDF]
Commercial ultrahigh-field 7 Tesla (T) MRI has been approved for clinical brain imaging, including applications in epilepsy and brain tumors. Increasing magnetic field strength offers significant advantages over lower-field MRI due to improved spatial ...
Marta Calvo-Imirizaldu +9 more
doaj +3 more sources
Occipital dysembryoplastic neuroepithelial tumor presenting as adult-onset temporal epilepsy
Dysembryoplastic neuroepithelial tumor (DNET) is a benign brain tumor which commonly presents as childhood-onset temporal lobe epilepsy (TLE). We present a case of histologically proven DNET with a clinical presentation and scalp EEG suggestive of adult ...
Riddhi Patira +6 more
doaj +3 more sources
Atypical Presentation of Dysembryoplastic Neuroepithelial Tumor [PDF]
Dysembryoplastic neuroepithelial tumor (DNET) is a benign glioneuronal neoplasm, usually found in children and adolescents, in the vast majority of cases associated with drug-resistant epilepsy.
Varis S. Khalilov +3 more
doaj +3 more sources
Multifocal Dysembryoplastic Neuroepithelial Tumour with Intradural Spinal Cord Lipomas: Report of a Case [PDF]
We report a case of temporal lobe epilepsy and incomplete Brown-Sequard syndrome of the thoracic cord. Computed tomography and magnetic resonance (MR) imaging showed multiple supratentorial masses with the classical radiological appearances of multifocal
Richard D. White +4 more
doaj +2 more sources
Dysembryoplastic neuroepithelial tumour mimicking high grade glioma
Introduction Dysembryoplastic neuroepithelial tumour (DNET) is a rare, low grade neuroglial tumour with distinct clinico-radiological features. In this study, we report a case of an unusual presentation of DNET.
Amal M Alkhotani
doaj +2 more sources
Incorporating self-attention into DenseNet for multi-label chest X-ray image classification [PDF]
This paper presents DNet-nSA, a novel deep learning architecture designed to enhance multi-label classification of chest X-ray (CXR) images by integrating n self-attention blocks into the DenseNet framework. While convolutional neural networks (CNNs) are
Tri-Thuc Vo, Thanh-Nghi Do
doaj +2 more sources
A hybrid zero-reference and dehazing network for joint low-light underground image enhancement [PDF]
The raw images captured by underground vision sensors in underground mine settings are disturbed by dim lighting, high dust levels, and complex electromagnetic conditions, suffering from high noise, low illumination, and low-resolution contamination ...
Qing Du +4 more
doaj +2 more sources
The transportation system has a big impact on daily lifestyle and it is essential to energy transition and decarbonization initiatives. Stabilizing the grid and incorporating sustainable energy sources require technologies like the Internet of Energy ...
Radhika Somakumar +3 more
doaj +2 more sources
DNet: Distributional Network for Distributional Individualized Treatment Effects
There is a growing interest in developing methods to estimate individualized treatment effects (ITEs) for various real-world applications, such as e-commerce and public health.
Guojun Wu +5 more
core +4 more sources
Association of CT and MRI Manifestations with Pathology in Dysembryoplastic Neuroepithelial Tumors
Objective: To investigate the CT, MRI and pathological features of dysembryoplastic neuroepithelial tumor (DNET). Methods: The CT and MRI features of six cases of pathologically confirmed DNET were retrospectively analyzed and compared with pathology ...
Da-wei Liao +3 more
doaj +1 more source

