Automated segmentation of COVID-19 lesions in CT scans using attention U-net with hybrid loss functions. [PDF]
Bakheet S +4 more
europepmc +1 more source
CACPU-Net: Channel attention U-net constrained by point features for crop type mapping. [PDF]
Bian Y, Li L, Jing W.
europepmc +1 more source
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Interpretable Model for Clinical Use in Left Atrial Appendage Segmentation via an Optimised Deformable-Attention U-Net With Spatial-Channel Fusion. [PDF]
Moghadam AP, Haddadnia J.
europepmc +1 more source
Automatic Segmentation of Lumbar Spine MRI Images Based on Improved Attention U-Net. [PDF]
Wang S, Jiang Z, Yang H, Li X, Yang Z.
europepmc +1 more source
The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study
ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp +4 more
wiley +1 more source
HAAU-Net: Hybrid Adaptive Attention U-Net Integrated with Context-Aware Morphologically Stable Features for Real-Time MRI Brain Tumor Detection and Segmentation. [PDF]
Asghar MA, Shoaib S, Zahid M.
europepmc +1 more source
DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images. [PDF]
Yuan W, Peng Y, Guo Y, Ren Y, Xue Q.
europepmc +1 more source
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images. [PDF]
Yuan W, Peng Y, Guo Y, Ren Y, Xue Q.
europepmc +1 more source

