Stefan Pszczolkowski

Stefan Pszczolkowski
University of Nottingham | Notts · Division of Clinical Neuroscience

PhD

About

26
Publications
4,010
Reads
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122
Citations
Citations since 2016
20 Research Items
109 Citations
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20162017201820192020202120220102030
Introduction
Stefan Pszczolkowski currently works at the Division of Clinical Neuroscience, University of Nottingham. Stefan does research in Software Engineering, Computer Graphics and Artificial Intelligence. Their current project is 'TICH-2 MRI sub-study'.
Additional affiliations
December 2015 - March 2022
University of Nottingham
Position
  • Researcher
June 2015 - November 2015
Imperial College London
Position
  • Research Associate
October 2014 - May 2015
Imperial College London
Position
  • Research Assistant
Education
August 2005 - July 2007
Pontificia Universidad Católica de Chile
Field of study
  • Computer Engineering
March 1999 - December 2005
Pontificia Universidad Católica de Chile
Field of study
  • Computer Engineering

Publications

Publications (26)
Article
This study evaluated deep learning algorithms for semantic segmentation and quantification of intracerebral hemorrhage (ICH), perihematomal edema (PHE), and intraventricular hemorrhage (IVH) on noncontrast CT scans of patients with spontaneous ICH. Models were assessed on 1732 annotated baseline noncontrast CT scans obtained from the Tranexamic Aci...
Article
Full-text available
Importance: Hyperintense foci on diffusion-weighted imaging (DWI) that are spatially remote from the acute hematoma occur in 20% of people with acute spontaneous intracerebral hemorrhage (ICH). Tranexamic acid, a hemostatic agent that is under investigation for treating acute ICH, might increase DWI hyperintense lesions (DWIHLs). Objective: To e...
Article
Full-text available
Background: Depression is a substantial health and economic burden. In approximately one-third of patients, depression is resistant to first-line treatment; therefore, it is essential to find alternative treatments. Transcranial magnetic stimulation (TMS) is a neuromodulatory treatment involving the application of magnetic pulses to the brain that...
Preprint
BACKGROUND Depression is a significant health and economic burden. In approximately one third of patients, depression is resistant to first line treatments and therefore it is essential that alternative treatments are found. Transcranial magnetic stimulation (TMS) is a neuromodulatory treatment involving the application of magnetic pulses to the br...
Article
Full-text available
Background: Depression is a substantial health and economic burden. In approximately one-third of patients, depression is resistant to first-line treatment; therefore, it is essential to find alternative treatments. Transcranial magnetic stimulation (TMS) is a neuromodulatory treatment involving the application of magnetic pulses to the brain that...
Article
Full-text available
Objectives To test radiomics-based features extracted from noncontrast CT of patients with spontaneous intracerebral haemorrhage for prediction of haematoma expansion and poor functional outcome and compare them with radiological signs and clinical factors. Materials and methods Seven hundred fifty-four radiomics-based features were extracted from...
Article
Full-text available
Background and purpose: SWI hypointense cerebral lesions have been reported in adults with the inherited cerebellar neurodegenerative disorder ataxia telangiectasia. This study aims to establish the prevalence, age-dependency, and spatial distribution of these lesions in children and young people with ataxia telangiectasia. Materials and methods:...
Preprint
Full-text available
Purpose: To evaluate the performance of an ensemble learning approach for fully automated cartilage segmentation on knee magnetic resonance images of patients with osteoarthritis. Materials and Methods: This retrospective study of 88 participants with knee osteoarthritis involved the study of three-dimensional (3D) double echo steady state (DESS) M...
Article
Full-text available
Introduction The BRIGhTMIND study aims to determine the clinical effectiveness, cost-effectiveness and mechanism of action of connectivity guided intermittent theta burst stimulation (cgiTBS) versus standard repetitive transcranial magnetic stimulation (rTMS) in adults with moderate to severe treatment resistant depression. Methods and analysis Th...
Article
Full-text available
Brain network analysis using functional magnetic resonance imaging (fMRI) is a widely used technique. The first step of brain network analysis in fMRI is to detect regions of interest (ROIs). The signals from these ROIs are then used to evaluate neural networks and quantify neuronal dynamics. The two main methods to identify ROIs are based on brain...
Article
Full-text available
Background and Purpose— Blend, black hole, island signs, and hypodensities are reported to predict hematoma expansion in acute intracerebral hemorrhage. We explored the value of these noncontrast computed tomography signs in predicting hematoma expansion and functional outcome in our cohort of intracerebral hemorrhage. Methods— The TICH-2 (Tranexa...
Article
Full-text available
Background: Ataxia Telangiectasia (A-T) is an inherited multisystem disorder with cerebellar neurodegeneration. The relationships between imaging metrics of cerebellar health and neurological function across childhood in A-T are unknown, but may be important for determining timing and impact of therapeutic interventions. Purpose: To test the hyp...
Poster
Full-text available
Using the iMorphics dataset a U-net was trained for automated semantic segmentation of knee cartilage. This provides Accurately labelled data which is valuable for studying disease progression, diagnosis, phenotyping and monitoring clinical trials.
Article
Full-text available
Background: Spontaneous intracerebral haemorrhage (SICH) is a common condition with high morbidity and mortality. Segmentation of haematoma and perihaematoma oedema on medical images provides quantitative outcome measures for clinical trials and may provide important markers of prognosis in people with SICH. Methods: We take advantage of improve...
Article
Full-text available
Correction: Does tranexamic acid lead to changes in MRI measures of brain tissue health in patients with spontaneous intracerebral haemorrhage? Protocol for a MRI substudy nested within the double-blind randomised controlled TICH-2 trial Dineen RA, Pszczolkowski S, Flaherty K, et al. Does tranexamic acid lead to changes in MRI measures of brain tis...
Conference Paper
BACKGROUND AND AIMS Magnetic Resonance Imaging (MRI) is widely used in clinical practice and in trials for ischaemic stroke; however, relatively few large multicentre trials for intracerebral haemorrhage have used MRI. We describe the main recruitment challenges faced in the TICH-2 MRI substudy, which is nested within TICH-2, a multi-centre randomi...
Article
Full-text available
Objectives: To test whether administration of the antifibrinolytic drug tranexamic acid (TXA) in patients with spontaneous intracerebral haemorrhage (SICH) leads to increased prevalence of diffusion-weighted MRI-defined hyperintense ischaemic lesions (primary hypothesis) or reduced perihaematomal oedema volume, perihaematomal diffusion restriction...
Article
Image registration under challenging realistic conditions is a very important area of research. In this paper, we focus on algorithms that seek to densely align two volumetric images according to a global similarity measure. Despite intensive research in this area, there is still a need for similarity measures that are robust to outliers common to...
Thesis
Full-text available
The automated analysis of medical images plays an increasingly significant part in many clinical applications. Image registration is an important and widely used technique in this context. Examples of its use include, but are not limited to: longitudinal studies, atlas construction, statistical analysis of populations and automatic or semi-automati...
Conference Paper
Full-text available
A potentially large anatomical variability among subjects in a population makes nonrigid image registration techniques prone to inaccuracies and to high computational costs in their optimisation. In this paper, we propose a new learning-based approach to accelerate the convergence rate of any chosen parametric energy-based image registration method...
Article
Full-text available
This paper describes the main activities and achievements of our research group on Machine Intelligence and Robotics (Grima) at the Computer Science Department, Pontificia Universidad Catolica de Chile (PUC). Since 2002, we have been developing an active research in the area of indoor autonomous social robots. Our main focus has been the cognitive...
Conference Paper
Full-text available
In this paper, we propose an image registration algorithm named statistically-based FFD registration (SFFD). This registration method is a modification of a well-known free-form deformations (FFD) approach. Our framework dramatically reduces the number of parameters to optimise and only needs to perform a single-resolution optimisation to account f...
Conference Paper
Full-text available
In order to deploy mobile robots in social environments like indoor buildings, they need to be provided with perceptual abilities to detect people. In the computer vision literature the most typical solution to this problem is based on background subtraction techniques, however, in the case of a mobile robot this is not a viable solution. This pape...

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