![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Open AccessExploration of neuroanatomical characteristics to differentiate prodromal Alzheimer’s disease from cognitively unimpaired amyloid-positive individuals
Differentiating clinical stages based solely on positive findings from amyloid PET is challenging. We aimed to investigate the neuroanatomical characteristics at the whole-brain level that differentiate prodro...
-
Article
Open AccessAuthor Correction: Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies
-
Article
Open AccessApplication of deep learning technology for temporal analysis of videofluoroscopic swallowing studies
Temporal parameters during swallowing are analyzed for objective and quantitative evaluation of videofluoroscopic swallowing studies (VFSS). Manual analysis by clinicians is time-consuming, complicated and pro...
-
Article
Open AccessEfficiency of botulinum toxin injection into the arm on postural balance and gait after stroke
The purpose of this study was to clarify the association between improvement of spasticity in hemiplegic patient’s upper extremity with Botulinum toxin injection and improvement in postural balance and gait fu...
-
Article
Open AccessAuthor Correction: Federated learning enables big data for rare cancer boundary detection
-
Article
Open AccessAssociation of cerebral white matter hyperintensities with coronary artery calcium in a healthy population: a cross-sectional study
In brain magnetic resonance imaging (MRI), white matter hyperintensity (WMH) is a commonly encountered finding and is known to reflect cerebral small vessel disease. The aim of our study was to investigate the...
-
Article
Open AccessFederated learning enables big data for rare cancer boundary detection
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging...
-
Article
Open AccessSurface potential modulation as a tool for mitigating challenges in SERS-based microneedle sensors
Raman spectroscopic-based biosensing strategies are often complicated by low signal and the presence of multiple chemical species. While surface-enhanced Raman spectroscopy (SERS) nanostructured platforms are ...
-
Article
Open AccessDeep learning-based thin-section MRI reconstruction improves tumour detection and delineation in pre- and post-treatment pituitary adenoma
Even a tiny functioning pituitary adenoma could cause symptoms; hence, accurate diagnosis and treatment are crucial for management. However, it is difficult to diagnose a small pituitary adenoma using conventi...
-
Article
Open AccessThe relationship between ultrasound findings and thyroid function in children and adolescent autoimmune diffuse thyroid diseases
To evaluate the association between thyroid echogenicity and heterogeneity seen on ultrasonography (US) and thyroid function in pediatric and adolescent populations with autoimmune diffuse thyroid diseases (AI...
-
Article
Open AccessStability of MRI radiomic features according to various imaging parameters in fast scanned T2-FLAIR for acute ischemic stroke patients
From May 2015 to June 2016, data on 296 patients undergoing 1.5-Tesla MRI for symptoms of acute ischemic stroke were retrospectively collected. Conventional, echo-planar imaging (EPI) and echo train length (ET...
-
Article
Open AccessCombination of automated brain volumetry on MRI and quantitative tau deposition on THK-5351 PET to support diagnosis of Alzheimer’s disease
Imaging biomarkers support the diagnosis of Alzheimer’s disease (AD). We aimed to determine whether combining automated brain volumetry on MRI and quantitative measurement of tau deposition on [18F] THK-5351 P...
-
Article
Open AccessGenerative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type
Generative adversarial network (GAN) creates synthetic images to increase data quantity, but whether GAN ensures meaningful morphologic variations is still unknown. We investigated whether GAN-based synthetic ...
-
Article
Open AccessRisk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice
Hydroxychloroquine has recently received attention as a treatment for COVID-19. However, it may prolong the QTc interval. Furthermore, when hydroxychloroquine is administered concomitantly with other drugs, it...
-
Article
Open AccessDifferentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation
The purpose of this study was to establish a high-performing radiomics strategy with machine learning from conventional and diffusion MRI to differentiate recurrent glioblastoma (GBM) from radiation necrosis (...
-
Article
Open AccessDeep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation
Current image processing methods for dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) do not capture complex dynamic information of time-signal intensity curves. We investigated whether a...
-
Article
Open AccessSurvival outcome and prognostic factors in anaplastic oligodendroglioma: a single-institution study of 95 cases
The aim of this study was to evaluate prognostic factors including surgical, radiographic, and histopathologic analyses in anaplastic oligodendroglioma (AO) patients. We reviewed the electronic records of 95 p...
-
Article
Open AccessRobust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
We evaluated the diagnostic performance and generalizability of traditional machine learning and deep learning models for distinguishing glioblastoma from single brain metastasis using radiomics. The training ...
-
Article
Open AccessRadiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI
We aimed to develop and validate a multiparametric MR radiomics model using conventional, diffusion-, and perfusion-weighted MR imaging for better prognostication in patients with newly diagnosed glioblastoma....
-
Article
Open AccessPRMT6-mediated H3R2me2a guides Aurora B to chromosome arms for proper chromosome segregation
The kinase Aurora B forms the chromosomal passenger complex (CPC) together with Borealin, INCENP, and Survivin to mediate chromosome condensation, the correction of erroneous spindle-kinetochore attachments, a...