Results 101 to 110 of about 15,524 (240)

Early and Progressive Spinal Cord Atrophy in Spinocerebellar Ataxia Type 1

open access: yesMovement Disorders, EarlyView.
Abstract Background Spinocerebellar ataxia type 1 (SCA1) is a rare, autosomal dominant neurodegenerative disorder characterized by progressive cerebellar and brainstem degeneration. Previous studies have shown that spinal cord atrophy is also a key aspect of SCA1 neuropathology.
Colette J.M. Reniers   +11 more
wiley   +1 more source

Extraocular Muscle Volumetry for Assessment of Thyroid Eye Disease [PDF]

open access: yes, 2022
In this study we evaluate the diagnostic accuracy of extraocular muscle volumetry in detecting thyroid eye disease and to compare the results with simple measurements of maximal medial rectus (MR ...
Georgios Bontzos, MD, PhD; Efrosini Papadaki, MD, PhD; Michael Mazonakis, PhD; Thomas G. Maris, PhD; Nikolaos G. Tsakalis, MD; Eleni E. Drakonaki, MD, PhD; Efstathios T. Detorakis, MD, PhD
core  

Metabolic and Volumetric Alterations in the Basal Ganglia and the Cerebellum in Dopa‐Responsive Dystonia in Symptomatic and Asymptomatic GCH1 Mutation Carriers

open access: yesMovement Disorders, EarlyView.
ABSTRACT Background Dopa‐responsive dystonia is caused by pathogenic variants in the GCH1 gene. Although its clinical features and reduced penetrance are known, in vivo metabolic and structural alterations in symptomatic (sMC) and asymptomatic mutation carriers (aMC) remain poorly understood.
Jannik Prasuhn   +12 more
wiley   +1 more source

A Brainstem Radiomics Framework to Distinguish Progressive Supranuclear Palsy from Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural image alterations, improving differential diagnoses.
Chiara Camastra   +8 more
wiley   +1 more source

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia [PDF]

open access: yes
Introduction This study evaluates the clinical value of a deep learning–based artificial intelligence (AI) system that performs rapid brain volumetry with automatic lobe segmentation and age‐ and sex‐adjusted percentile comparisons.
Ling, Wen Xin   +10 more
core   +4 more sources

Enhancing Volume Precision in Breast Reconstruction: A BMI-Based Model for Predicting Flap Weight in Profunda Artery Perforator Flaps

open access: yesLife
Background: In recent years, the profunda artery perforator (PAP) flap has gained recognition as a viable technique in autologous breast reconstruction, demonstrating low donor site morbidity and favorable reconstructive outcomes.
Charalampos Varnava   +5 more
doaj   +1 more source

Accurate Automated Volumetry of Cartilage of the Knee using Convolutional Neural Networks: Data from the Osteoarthritis Initiative [PDF]

open access: yes, 2019
Volumetry of the cartilage of the knee, as needed for the assessment of knee osteoarthritis (KOA), is typically performed in a tedious and subjective process. We present an automated segmentation-based method for the quantification of cartilage volume by
Tack, Alexander, Zachow, Stefan (Dr.)
core  

3D‐printed model for resection of positive surgical margins in robot‐assisted prostatectomy

open access: yesBJU International, Volume 135, Issue 4, Page 657-667, April 2025.
Objectives To improve precision of secondary resection (SR) after positive surgical margin (PSM) detection by frozen section (FS) during nerve‐sparing (NS) robot‐assisted radical prostatectomy (RARP) by employing a personalised three‐dimensional (3D)‐printed prostate model derived from pelvic magnetic resonance imaging (MRI).
Christian Engesser   +12 more
wiley   +1 more source

Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

open access: yeseLife
We present open-source tools for three-dimensional (3D) analysis of photographs of dissected slices of human brains, which are routinely acquired in brain banks but seldom used for quantitative analysis.
Harshvardhan Gazula   +25 more
doaj   +1 more source

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