Ina Vernikouskaya
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View article: Hypothalamus and intracranial volume segmentation at the group level by use of a Gradio-CNN framework
Hypothalamus and intracranial volume segmentation at the group level by use of a Gradio-CNN framework Open
Purpose This study aimed to develop and evaluate a graphical user interface (GUI) for the automated segmentation of the hypothalamus and intracranial volume (ICV) in brain MRI scans. The interface was designed to facilitate efficient and a…
View article: Diagnostic utility of IL-18 plasma levels in distinguishing abdominal from non-abdominal sepsis
Diagnostic utility of IL-18 plasma levels in distinguishing abdominal from non-abdominal sepsis Open
Background Abdominal sepsis is a critical and high-risk condition in intensive care, characterized by diagnostic challenges, complex treatment, and high mortality. Non-specific symptoms and the difficulty of discriminating harmful bacteria…
View article: Hypothalamic atrophy in primary lateral sclerosis, assessed by convolutional neural network-based automatic segmentation
Hypothalamic atrophy in primary lateral sclerosis, assessed by convolutional neural network-based automatic segmentation Open
Primary lateral sclerosis (PLS) is a motor neuron disease (MND) which mainly affects upper motor neurons. Within the MND spectrum, PLS is much more slowly progressive than amyotrophic laterals sclerosis (ALS). `Classical` ALS is characteri…
View article: AI-assisted automatic MRI-based tongue volume evaluation in motor neuron disease (MND)
AI-assisted automatic MRI-based tongue volume evaluation in motor neuron disease (MND) Open
Purpose Motor neuron disease (MND) causes damage to the upper and lower motor neurons including the motor cranial nerves, the latter resulting in bulbar involvement with atrophy of the tongue muscle. To measure tongue atrophy, an operator …
View article: Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients Open
Left atrial appendage (LAA) is the source of thrombi formation in more than 90% of strokes in patients with nonvalvular atrial fibrillation. Catheter-based LAA occlusion is being increasingly applied as a treatment strategy to prevent stro…
View article: AI-assisted quantification of hypothalamic atrophy in amyotrophic lateral sclerosis by convolutional neural network-based automatic segmentation
AI-assisted quantification of hypothalamic atrophy in amyotrophic lateral sclerosis by convolutional neural network-based automatic segmentation Open
The hypothalamus is a small structure of the brain with an essential role in metabolic homeostasis, sleep regulation, and body temperature control. Some neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and dementia sy…
View article: Impact of cardiac and respiratory motion on the 3D accuracy of image-guided interventions on monoplane systems
Impact of cardiac and respiratory motion on the 3D accuracy of image-guided interventions on monoplane systems Open
View article: Cardiac magnetic resonance imaging for preprocedural planning of percutaneous left atrial appendage closure
Cardiac magnetic resonance imaging for preprocedural planning of percutaneous left atrial appendage closure Open
Introduction Percutaneous closure of the left atrial appendage (LAA) facilitates stroke prevention in patients with atrial fibrillation. Optimal device selection and positioning are often challenging due to highly variable LAA shape and di…
View article: MRI-based training model for left atrial appendage closure
MRI-based training model for left atrial appendage closure Open
View article: Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease
Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease Open
Preprocedural planning and periprocedural guidance based on image fusion are widely established techniques supporting the interventional treatment of structural heart disease. However, these two techniques are typically used independently.…
View article: 3D localization from 2D X-ray projection
3D localization from 2D X-ray projection Open
View article: Deep learning-based framework for motion-compensated image fusion in catheterization procedures
Deep learning-based framework for motion-compensated image fusion in catheterization procedures Open
A novel CNN model-based method for automatic motion compensation during fusion of 3D anatomic models with XR fluoroscopy is introduced and its integration with a real software application demonstrated. Automatic motion extraction from 2D X…
View article: Body fat compartment determination by encoder–decoder convolutional neural network: application to amyotrophic lateral sclerosis
Body fat compartment determination by encoder–decoder convolutional neural network: application to amyotrophic lateral sclerosis Open
The objective of this study was to automate the discrimination and quantification of human abdominal body fat compartments into subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from T1-weighted MRI using encoder-decoder …
View article: Cryo-balloon catheter localization in X-Ray fluoroscopy using U-net
Cryo-balloon catheter localization in X-Ray fluoroscopy using U-net Open
View article: 3D-XGuide: open-source X-ray navigation guidance system
3D-XGuide: open-source X-ray navigation guidance system Open
Purpose With the growing availability and variety of imaging modalities, new methods of intraoperative support have become available for all kinds of interventions. The basic principles of image fusion and image guidance have been widely a…
View article: Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation Open
The fusion of 3D anatomical models derived from high-fidelity pre-interventional computed tomography angiography (CTA), and x-ray (XR) fluoroscopy to facilitate anatomical guidance is of huge interest for complex cardiac interventions like…
View article: The CAM cancer xenograft as a model for initial evaluation of MR labelled compounds
The CAM cancer xenograft as a model for initial evaluation of MR labelled compounds Open
Non-invasive assessment of the biodistribution is of great importance during the development of new pharmaceutical compounds. In this contribution, the applicability of in ovo MRI for monitoring the biodistribution of MR contrast agent-lab…
View article: Qualitative and quantitative assessment of the local contrast agent aggregations using MRI
Qualitative and quantitative assessment of the local contrast agent aggregations using MRI Open
Major issues of qualitative and quantitative assessment of the contrast agent aggregations using 1H and 19F MRI are addressed in this thesis. The dynamic assessment of the migration of the cells labeled with custom-designed Iron oxide load…