Viktor Vegh
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View article: Relevance of cerebral microbleeds with leaky blood brain barrier in traumatic brain injury and protective role of interferon-gamma: A cohort study.
Relevance of cerebral microbleeds with leaky blood brain barrier in traumatic brain injury and protective role of interferon-gamma: A cohort study. Open
Objectives Cerebral microbleeds (CMBs), which present as foci of hypointensities on T2*-weighted Magnetic Resonance Imaging (MRI) are associated with weakened vessel walls. CMBs are also a frequent finding in traumatic brain injury (TBI) i…
View article: Relevance of cerebral microbleeds with leaky blood brain barrier in traumatic brain injury and protective role of interferon-gamma: A cohort study
Relevance of cerebral microbleeds with leaky blood brain barrier in traumatic brain injury and protective role of interferon-gamma: A cohort study Open
combined DCE-MRI and SWI confirmed that CMBs with leaky BBBs are more prevalent in moderate-severe TBIs compared. Higher levels of IFN-γ appeared to have been associated with fewer CMBs in the sub-acute stage of TBI.
View article: Progressive clonic slowing predicts severity of respiratory dysfunction and prolonged postictal immobility in tonic–clonic seizures
Progressive clonic slowing predicts severity of respiratory dysfunction and prolonged postictal immobility in tonic–clonic seizures Open
Objective Progressive clonic slowing is a common electroclinical phenomenon observed during the clonic phase of bilateral tonic–clonic seizures (BTCS) and reflects an inhibitory phenomenon. We aimed to explore the relationship between prog…
View article: Model selection for dynamic PET compartmental modelling of 18F-FDG uptake using a long axial field-of-view PET scanner with delay and motion correction
Model selection for dynamic PET compartmental modelling of 18F-FDG uptake using a long axial field-of-view PET scanner with delay and motion correction Open
Clinical trial number: not applicable.
View article: Non-invasive arterial input function estimation using an MRA atlas and machine learning
Non-invasive arterial input function estimation using an MRA atlas and machine learning Open
This study introduces a new approach for AIF estimation in dynamic PET using brain PET images, a probabilistic vascular atlas, and machine learning techniques. The findings demonstrate the feasibility of non-invasive and subject-specific A…
View article: The potential role of AI agents in transforming nuclear medicine research and cancer management in India
The potential role of AI agents in transforming nuclear medicine research and cancer management in India Open
India faces a significant cancer burden, with an incidence-to-mortality ratio indicating that nearly three out of five individuals diagnosed with cancer succumb to the disease. While the limitations of physical healthcare infrastructure ar…
View article: Identification of non-invasive PET-CT features for differentiation and prognostication of lung adenocarcinoma and squamous cell carcinoma using radiomics and foundation model
Identification of non-invasive PET-CT features for differentiation and prognostication of lung adenocarcinoma and squamous cell carcinoma using radiomics and foundation model Open
This study demonstrates the potential of non-invasive conventional radiomics and advanced deep learning-based foundation models (DINOv2) for differentiating between ADC and SCC and for identifying prognostic subgroups. Features were extrac…
View article: Language task-based fMRI analysis using machine learning and deep learning
Language task-based fMRI analysis using machine learning and deep learning Open
Introduction Task-based language fMRI is a non-invasive method of identifying brain regions subserving language that is used to plan neurosurgical resections which potentially encroach on eloquent regions. The use of unstructured fMRI para…
View article: Robust, fast and accurate mapping of diffusional mean kurtosis
Robust, fast and accurate mapping of diffusional mean kurtosis Open
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning, and monitoring of many neurological disea…
View article: Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks
Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks Open
Introduction The reconstruction of PET images involves converting sinograms, which represent the measured counts of radioactive emissions using detector rings encircling the patient, into meaningful images. However, the quality of PET data…
View article: Author response: Robust, fast and accurate mapping of diffusional mean kurtosis
Author response: Robust, fast and accurate mapping of diffusional mean kurtosis Open
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning and monitoring of many neurological diseas…
View article: Robust, fast and accurate mapping of diffusional mean kurtosis
Robust, fast and accurate mapping of diffusional mean kurtosis Open
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning and monitoring of many neurological diseas…
View article: Image synthesis of interictal SPECT from MRI and PET using machine learning
Image synthesis of interictal SPECT from MRI and PET using machine learning Open
Background Cross-modality image estimation can be performed using generative adversarial networks (GANs). To date, SPECT image estimation from another medical imaging modality using this technique has not been considered. We evaluate the e…
View article: NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction
NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction Open
Seizure recurrence is an important concern after an initial unprovoked seizure; without drug treatment, it occurs within 2 years in 40-50% of cases. The decision to treat currently relies on predictors of seizure recurrence risk that are i…
View article: ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages
ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages Open
Background The indirect method for generating parametric images in positron emission tomography (PET) involves the acquisition and reconstruction of dynamic images and temporal modelling of tissue activity given a measured arterial input f…
View article: Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI Open
Traumatic Brain Injury (TBI) poses a significant global public health challenge, contributing to high morbidity and mortality rates and placing a substantial economic burden on healthcare systems worldwide. The diagnosis of TBI relies on c…
View article: Intranasal delivery of imaging agents to the brain
Intranasal delivery of imaging agents to the brain Open
The potential of intranasal administered imaging agents to altogether bypass the blood-brain barrier offers a promising non-invasive approach for delivery directly to the brain. This review provides a comprehensive analysis of the advancem…
View article: Additional file 1 of A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET
Additional file 1 of A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET Open
Additional file 1. Table S1: Kinetic parameters statistics obtained from simulation results for a 24 minute window, including initial brain scan. Table S2: Kinetic parameters statistics obtained from simulation results for a 21 minute wind…
View article: Non-invasive arterial input function estimation using an MRI atlas and machine learning
Non-invasive arterial input function estimation using an MRI atlas and machine learning Open
Background Dynamic positron emission tomography (PET) scanners can generate images of parameters that reflect the kinetics of the administered radiotracer. Kinetic parameter estimation requires an arterial input function (AIF) conventional…
View article: Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT Open
Mild Traumatic Brain Injury (mTBI) is a common and challenging condition to diagnose accurately. Timely and precise diagnosis is essential for effective treatment and improved patient outcomes. Traditional diagnostic methods for mTBI often…
View article: ParaPET: non-invasive deep learning method for direct parametric PET reconstruction using histoimages
ParaPET: non-invasive deep learning method for direct parametric PET reconstruction using histoimages Open
Background The indirect method for generating parametric images in Positron Emission Tomography (PET) involves the acquisition and reconstruction of dynamic images and temporal modelling of tissue activity given a measured arterial input f…
View article: Robust, fast and accurate mapping of diffusional mean kurtosis
Robust, fast and accurate mapping of diffusional mean kurtosis Open
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning, and monitoring of many neurological disea…
View article: Reviewer #1 (Public Review): Robust, fast and accurate mapping of diffusional mean kurtosis
Reviewer #1 (Public Review): Robust, fast and accurate mapping of diffusional mean kurtosis Open
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning and monitoring of many neurological diseas…
View article: Robust, fast and accurate mapping of diffusional mean kurtosis
Robust, fast and accurate mapping of diffusional mean kurtosis Open
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning and monitoring of many neurological diseas…
View article: Reviewer #2 (Public Review): Robust, fast and accurate mapping of diffusional mean kurtosis
Reviewer #2 (Public Review): Robust, fast and accurate mapping of diffusional mean kurtosis Open
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning and monitoring of many neurological diseas…
View article: Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis Open
Mild Traumatic Brain Injury (mTBI) is a significant public health challenge due to its high prevalence and potential for long-term health effects. Despite Computed Tomography (CT) being the standard diagnostic tool for mTBI, it often yield…
View article: A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET
A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET Open
Background In parametric PET, kinetic parameters are extracted from dynamic PET images. It is not commonly used in clinical practice because of long scan times and the requirement for an arterial input function (AIF). To address these limi…