Tommy Boshkovski

Tommy Boshkovski
Polytechnique Montréal · Institute of Biomedical Engineering

PhD

About

12
Publications
2,213
Reads
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77
Citations
Citations since 2016
12 Research Items
77 Citations
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2016201720182019202020212022010203040
2016201720182019202020212022010203040
Introduction
Tommy Boshkovski currently works at the Institute of Biomedical Engineering, Polytechnique Montréal. Tommy does research in Machine learning, MRI, and connectomics.
Additional affiliations
September 2016 - present
Montreal Heart Institute
Position
  • Research Assistant
November 2015 - February 2016
Ss. Cyril and Methodius University in Skopje
Position
  • Laboratory Teaching and Research Assistant
October 2014 - July 2016
Macedonian Academy of Sciences and Arts
Position
  • Research Associate
Education
September 2016 - December 2020
Polytechnique Montréal
Field of study
  • Biomedical Engineering
November 2014 - November 2015
September 2010 - September 2014
Ss. Cyril and Methodius University in Skopje
Field of study
  • Informatics and computer engineering

Publications

Publications (12)
Article
Full-text available
Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in dMRI data quality, it remains unclear how these data should be analyzed to maximize tractography accu...
Article
Full-text available
Background: Even though Parkinson's disease (PD) is typically viewed as largely affecting gray matter, there is growing evidence that there are also structural changes in the white matter. Traditional connectomics methods that study PD may not be specific to underlying microstructural changes, such as myelin loss. Objective: The primary objectiv...
Preprint
Full-text available
Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in dMRI data quality, it remains unclear how these data should be analyzed to maximize tractography accu...
Article
Hypertension, elevated morning blood pressure (BP) surges, and circadian BP variability constitute risk factors for cerebrovascular events. Nevertheless, while evidence indicates that hypertension is associated with cognitive dysfunctions, the link between BP variability and cognitive performance during aging is not clear. The purpose of this study...
Article
Full-text available
Myelin plays a crucial role in how well information travels between brain regions. Complementing the structural connectome, obtained with diffusion MRI tractography, with a myelin-sensitive measure could result in a more complete model of structural brain connectivity and give better insight into white-matter myeloarchitecture. In this work we weig...
Article
Full-text available
Most qMRI tools for fundamental research are developed in-house and are difficult to port across sites, which in turn hampers their standardization, reproducibility, and widespread adoption. To tackle this problem, we developed qMRLab, an open-source software package that pro-vides a wide selection of qMRI methods for data fitting, simulation and p...
Preprint
Full-text available
Myelin plays a crucial role in how well information travels between brain regions. Many neurological diseases affect the myelin in the white matter, making myelin-sensitive metrics derived from quantitative MRI of potential interest for early detection and prognosis of those conditions. Complementing the structural connectome, obtained with diffusi...
Conference Paper
Full-text available
Synopsis We present results from IronTract, the first challenge to evaluate tractography on the two-shell diffusion scheme of the Human Connectome Project (HCP). Accuracy was evaluated by comparison to tracer injections in the same macaque brains as the diffusion data. Training and validation datasets involved different injection sites. We observed...
Article
Background: Vascular risk factors such as arterial stiffness play an important role in the etiology of Alzheimer's disease (AD), presumably due to the emergence of white matter lesions. However, the impact of arterial stiffness to white matter structure involved in the etiology of AD, including the corpus callosum remains poorly understood. Objec...
Article
Full-text available
A number of network structural characteristics have recently been the subject of particularly intense research, including degree distributions, community structure, and various measures of vertex centrality, to mention only a few. Vertices may have attributes associated with them; for example, properties of proteins in protein-protein interaction n...
Chapter
One third of the world’s population suffers from some kind of neurological disorder. The development of technology allows us to analyze, model and visualize these disorders in order to help MDs in further treatments. Resting state fMRI is one of the most common ways for investigating the functional connectivity of the brain, which produces time ser...

Network

Cited By

Projects

Projects (2)
Project
1) Developing vendor-neutral pulse sequences for qMRI: Single click acquisitions that can export images in community-developed data standards. 2) Developing a global data standard for qMRI in BIDS (Brain Imaging Data Structure). 3) Developing reproducible qMRLab (https://qmrlab.org) workflows for processing qMRI data with end-to-end provenance records.