Early-stage researchers

TRABIT is training the following 15 PhD students (click on the pictures to get detailed information):

WP1: Multiple Sclerosis WP3: Brain Tumors
Maria Ines Meyer Francesco La Rosa Stefano Cerri Ivan Ezhov Sveinn Pálsson Andrey Zhylka Daniel Krahulec Luca Canalini
WP2: Fetal Brain Disorders WP4: Stroke/Neurovascular Disease
 
Lucas Fidon Thomas Yu Athena Taymourtah Suprosanna Shit Carmen Genis Amnah Mahroo Ezequiel de la Rosa  
 

Maria Ines Meyer (ESR-1 - Icometrix - Belgium)

  • Bio: Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Tincidunt eget nullam non nisi est sit. Lectus nulla at volutpat diam ut venenatis tellus in. Odio aenean sed adipiscing diam donec adipiscing tristique risus nec. Sit amet risus nullam eget felis eget nunc lobortis. Ipsum suspendisse ultrices gravida dictum fusce ut placerat orci. In eu mi bibendum neque egestas congue quisque. Sit amet dictum sit amet justo donec enim. Tincidunt vitae semper quis lectus nulla at volutpat diam. Quam viverra orci sagittis eu volutpat. Ullamcorper dignissim cras tincidunt lobortis feugiat vivamus at. Tempor orci dapibus ultrices in iaculis. Egestas pretium aenean pharetra magna ac placerat vestibulum.
  • Project: Id volutpat lacus laoreet non curabitur gravida. Enim blandit volutpat maecenas volutpat blandit. Massa id neque aliquam vestibulum morbi blandit cursus risus at. Vulputate sapien nec sagittis aliquam malesuada bibendum. Est ultricies integer quis auctor elit sed vulputate. Cursus mattis molestie a iaculis at. Odio facilisis mauris sit amet massa vitae tortor. Tincidunt ornare massa eget egestas purus viverra accumsan. Aliquet enim tortor at auctor urna nunc id cursus metus. Sollicitudin nibh sit amet commodo nulla facilisi. Feugiat pretium nibh ipsum consequat nisl vel pretium. Leo in vitae turpis massa sed. Sem nulla pharetra diam sit amet. Eu scelerisque felis imperdiet proin fermentum leo.
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Francesco La Rosa (ESR-2 - EPFL - Switzerland)

  • Bio: Lorem
  • Project: Id .
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Stefano Cerri (ESR-3 - DTU - Denmark)

  • Bio: Lorem
  • Project: Id .
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Lucas Fidon (ESR-4 - KCL - UK)

  • Bio:
    My background is Mathematics and Computer Science.
    I am graduated from CentraleSupélec, one of France’s leading engineering schools.
    In parallel, I also received Master degrees from ENS Paris-saclay (MVA) and Paris-Sud University.
  • Project: 
    I am developing new computational tools for brain fetal Magnetic Resonance Images (MRI) analysis to improve treatment for fetus suffering from Spina Bifida.
    ◉ Advisor: Prof. Tom Vercauteren.
    ◉ Research Interests: MRI reconstruction and super resolution, robust and accurate biomarkers measure and longitudinal data analysis.
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Thomas Yu (ESR-5 - EPFL - Switzerland)

  • Bio: Lorem
  • Project: Id .
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Athena Taymourtah (ESR-6 - MUW - Austria)

  • Bio: Lorem
  • Project: Id .
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Ivan Ezhov (ESR-7 - TUM - Germany)

  • Bio: Lorem
  • Project: Id .
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Sveinn Pálsson (ESR-8 - DTU - Denmark)

  • Bio: Lorem
  • Project: Id .
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Andrey Zhylka (ESR-9 - TU/e - The Netherlands)

  • Bio:

    Hi there!

    My name is Andrey Zhylka. Originally I come from Belarus where I obtained Specialist degree in Computer Science from Faculty of Applied Mathematics and Computer Science of Belarusian State University (BSU) with honours in 2016. My graduation project was about cerebrovascular segmentation and analysis of 3D Magnetic Resonance Angiography images. In 2017 I received a Master of Physical and Mathematical Sciences degree from the same faculty with the thesis focused on breast X-ray image analysis using deep learning.

    In spring 2015 I was a DAAD intern at University Hospital of Jena where I worked on vascular OCT video analysis.

    In August 2016 I started working at the Department of Discrete Mathematics and Algorithmics and since April 2017 until April 2018 at the Department of Biomedical Informatics of BSU as a teaching assistant. The courses I taught were “Discrete Mathematics and Mathematical Logic” and “Digital Image Processing”.

    I also have 4-year-long industrial experience with the last place of employment being Epam Garage of Epam Systems, where I worked on the tasks related to stereo image reconstruction, computer vision, machine learning and deep learning in position of Middle and, later, Senior R&D Software Engineer.

  • Project:

    Working on my project I collaborate with Daniel Krahulec from Philips, who you can read about below. The main goal of the cooperation is to create a prototype of a neurosurgery-planning tool for neuroradiologists and neurosurgeons. And I am responsible for the scientific part.

    The main reason for having such tool is the following. As you know our brain is responsible for our senses and movement. And in order to deliver this information from different parts of our body to the parts of brain corresponding to certain functionality there is a complex system of nerve fibres that are going through our body, including our brain, sometimes fanned and sometimes grouped in bundles.

    So when the surgeon makes a cut of the brain during the operation, they really want to be sure that none of the fibre bundles is harmed. And the information about the location of the fibre bundles can be gained from Diffusion Weighted Magnetic Resonance Image (DW MRI, or sometimes just DWI).

    And here we come to the goals of my project. I need to provide robust and accurate algorithms for fibre tracking in brains of the patients with tumours based Diffusion Weighted Images. Another goal of mine is to provide uncertainty and risk estimation in order to inform neurosurgeons about fibres being dangerously close to tumour or about the potential errors in the results of fibre tracking. In order to provide as much as information as possible and to make it highly accurate various imaging modalities are planned to be combined.

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Daniel Krahulec (ESR-10 – Philips – The Netherlands)

  • Bio: 

    Greetings, reader!

    My name is Daniel Krahulec and I come from the marvelous mountain-rimmed lands of the Czech Republic. I grew up as a villager in a three-generation detached house. Embarking on university studies, I first pursued my Bachelor's degree in the Electrical Engineering program, consisting of numerous courses in biomedical engineering at the Technical University of Ostrava, and medicine in the Faculty of Medicine at University of Ostrava. In 2014, I spent a five-month exchange period at Tampere University of Technology (Tampereen Teknillinen Yliopisto, Finland), where I peeked into the Master's program of Biomedical Engineering and filled my study plan with courses in radiology and radiotherapy. One year later, I gained admission to the freshly launched study program of Human Neuroscience and Neurotechnology at Aalto University (Aalto-yliopisto, Finland), where I graduated with honours in December 2017.

    My Bachelor's thesis dealt with methods for suppression/elimination of artefacts in 1.5T MR imaging. During Master's studies, I worked as a research assistant and Master's thesis worker in the Sensorimotor Systems Group led by Dr. Harri Piitulainen for about 15 months. Together with other Finnish colleagues we studied the structure and function of healthy and diseased human sensorimotor system using different imaging modalities (magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), etc). My main task was to develop an optimized functional MR imaging protocol for investigating the proprioceptive system (i.e. "movement sense") in patients with cerebral palsy. To better understand the proprioceptive brain network, I utilized an ultrafast inverse MR imaging sequence (InI) that allows for faster sampling of brain (BOLD) responses, thus providing more in-depth information about sensorimotor integration in different individuals. In addition, I was developing a pipeline for InI data analysis.

    Since 2008, I have also intermittently worked as a language teacher and freelance translator.

  • Project: 

    In the TRABIT network, I have been working on a PhD project focusing on industrial design. As opposed to the usual scientific PhD with the aim to publish novel research articles, my primary goal is to develop a prototype of a clinical software application that will be applicable in tumor neurosurgery planning, intrasurgical guidance, as well as postoperative neurooncological follow-up.

    Several steps must be followed. Firstly, a thorough analysis of clinical needs is conducted, during which customers (neurosurgeons and neuroradiologists) are interviewed about clinical workflow in different hospitals. Next, these clinical needs must be transformed into functional blocks of the prototype application, which will be developed using a Philips internal software development environment. Further steps include designing a user interface and software architecture, as well as testing, in-house verification, technical validation, and clinical evaluation of the final solution. 

    Why do we need that? The idea of building such a prototype reflects the need for tackling contemporary issues with neuro-fiber tracking, especially in patients with highly infiltrating and diffusive brain tumors (gliomas, glioblastomas, meningiomas). For instance, current fiber tractography methods applied in daily clinical practice cannot resolve complex nerve fiber orientation, and fail to detect fibers in edematous zones around these tumors. However, standard clinical workflow also faces other problems with respect to image segmentation, coregistration, data formats, and interoperability. Moreover, the importability of clinical data (processed on current vendor-supplied platforms) into neuronavigation systems (used intraoperatively by neurosurgeons) is cumbersome and needs to be optimized in order to speed up the whole neurosurgical process. 

    As Andrey Zhylka (ESR-9) correctly mentioned above, his improvements applied to (mainly) fiber-tracking algorithms will be implemented into the application prototype.

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Luca Canalini (ESR-11 - MEVIS - Germany)

  • Bio: Lorem
  • Project: Id .
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Suprosanna Shit (ESR-12 - TUM - Germany)

  • Bio: Lorem
  • Project: Id .
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Carmen Genis (ESR-13 - RegionH - Denmark)

  • Bio: Lorem
  • Project: Id .
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Amnah Mahroo (ESR-14 - MEVIS - Germany)

  • Bio: Lorem
  • Project: Id .
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Ezequiel de la Rosa (ESR-15 - Icometrix - Belgium)

  • Bio: Lorem
  • Project: Id .
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