My academic journey

Where I am

Over the years, I have built an interdisciplinary profile as physio with hands-on AI experience. I am now leading the iAIMS community connecting researchers worldwide to leverage this interdisciplinary view towards real clinical impact with AI.

Where I'm going

As a junior post-doctoral fellow of Flanders' main research fund FWO, I combine Federated Learning, Brain Age and Explainable AI to investigate the relationship between brain damage and cognitive impairment in MS. I dream to ultimately find targets for exercise to slow down accelerated cognitive deterioration and brain aging in MS.

Curriculum Vitae

Download Official CV
🇳🇱 Dutch: Native 🇬🇧 English: Fluent 🇫🇷 French: Proficient 🇮🇹 Italian: Proficient 🇩🇪 German: Proficient 🇨🇿 Czech: Basic 🇨🇳 Chinese: Beginner, actively learning

2026

Medical Information- and Communicatio... 2020-Ongoing teaching

Medical Information- and Communication Systems

VUB

Summary:
Since 2020, I cover the aspect 'Clinical Decision Support Systems' with a heavy emphasis on providing a strong background in AI.

Study Program: Master in Healthcare Management
Course ID: 4012391ENW

Role: Assistant lecturer

Information systems 2020-Ongoing teaching

Information systems

KU Leuven

Summary:
Since 2020, I cover the aspect 'Clinical Decision Support Systems' with a heavy emphasis on providing a strong background in AI.

Study Program: Master in Hospital Hygiene
Course ID: B-KUL-E00I9A

Role: Assistant lecturer

Real-world federated learning for bra... IF 3.8 • Q1 publications

Real-world federated learning for brain imaging scientists

Frontiers in Digital Health

Denissen S, Laton J, Grothe M, Vaneckova M, Uher T, Kudrna M, Horáková D, Baijot J, Penner I-K, Kirsch M, Motýl J, De Vos M, Chén OY, Van Schependom J and Nagels G

Key finding:
In a real-world federated learning network across 3 countries, our in-house built 'FLightcase' toolbox predicted brain age within 6.08 years (healthy) and cognitive function within 9.19 points SDMT (MS).
Licensed under: CC BY 4.0
Impact Factor 3.8
Quartile Q1
PDD-FANs: Personalized Decentralized ... publications

PDD-FANs: Personalized Decentralized Federated Adversarial Networks with Defense Mechanism in Non-IID Setting

IEEE TrustCom 2025 (Conference)

Xinguang Wang, Nguyen Linh Trung, Oliver Y. Chen, Jeroen Van Schependom, Stijn Denissen and Guy Nagels

Key finding:
This paper introduces a new federated learning method: 'PDD-FANs'. Using an ablation study with Byzantine attack, the method outperforms the state of the art in handling non-IID data.
Tianzheng Hu (胡天正) 2025-Ongoing mentoring

Tianzheng Hu (胡天正)

Medical Sciences

Topic: Exploring the relationship between brain age and neurological disorders

Role: Co-promoter

Type: PhD

Xinguang Wang (王新光) 2024-Ongoing mentoring

Xinguang Wang (王新光)

Medical Sciences

Topic: Enhancing performance in deep learning-based brain age prediction models via federated learning

Role: Co-promoter

Type: PhD

Mohammad Waleed Adnan 2025-Ongoing mentoring

Mohammad Waleed Adnan

Applied Computer Science

Topic: explaining brain age models with XAI

Role: Co-promoter

Type: Master

2025

ECTRIMS conferences

ECTRIMS

Will AI shift decision making in favor of the PwMS in the next decade?

Summary:
Invited talk during the Nursing session at ECTRIMS on 'Shared decision making and digitalisation'

Location: Barcelona (ES)

BVNV conferences

BVNV

Artificiële intelligentie in MS

Summary:
Talk at the annual conference of the Belgian Society for Neurological Nurses

Location: Blankenberge (BE)

NNR conferences

NNR

Surfing the smartphone wave to support clinical practice

Summary:
Talk in the workshop on 'Advances in Neuropsychology: Innovations in Cognitive Assessment and Intervention', together with Dr. Delphine Van Laethem.

Location: Maastricht (NL)

iAIMS community 2025-Ongoing community_engagement

iAIMS community

Founder

Summary:
During the 2024 edition of ECTRIMS in Copenhagen, I sat down with Dr. Ceren Tozlu and my professor Prof. Guy Nagels as we observed a trend that technically-oriented researchers did not really find their way in the clinical ECTRIMS. With the input and support of Dr. Ceren Tozlu and my own research group AIMS, I subsequently decided to organise an informal brainstorm with people interested in the AI x MS intersection (cfr. photo). In the meantime, iAIMS has become a trusted community with members across the world that hosts this interdisciplinary discussion in multiple ways, including monthly journal clubs, Discord discussions and teaching. For more info, please visit our website.

Location: International

Role: Founder

BIDS data format taskforce 2025-Ongoing community_engagement

BIDS data format taskforce

Supervisor

Summary:
With primarily PhD students in our lab, I took the initiative to start a taskforce within our lab to convert our datasets to the gold standard Brain Imaging Data Structure ('BIDS') format.

Location: AIMS lab, VUB

Role: Supervisor

Computational Neuroscience teaching

Computational Neuroscience

Vietnam National University

Summary:
Jury member for Bachelor projects on machine learning on EEG data

Role: Jury member

BICAMS training teaching

BICAMS training

Bach Mai hospital, Hanoi, VN

Summary:
Teaching Bach Mai hospital students to take the BICAMS cognitive testing

Role: Instructor

Incorporating measures of cognitive p... IF 2.1 • Q2 publications

Incorporating measures of cognitive processing speed and brain volume in clinical management of pediatric onset MS

Pediatric Neurology

Sosa A, O’Neill KA, Billiet T, Chen J, Couvreur L, Denissen S, Lustberg M, Pehel S, Ribbens A and Krupp L

Key finding:
Whole brain volume percentile (r = 0.4, P = 0.01), white matter percentile (r = 0.4, P = 0.01), and white matter lesion volume (r = −0.4, P = 0.005) were associated with SDMT score. Annualized percent brain volume change of the hippocampus (measured a median of 1.6 years apart) significantly correlated with follow-up SDMT (r = 0.4, P = 0.02), and annualized percent brain volume change of the thalamus correlated with annual change in SDMT z-score (r = 0.4, P = 0.009).
Impact Factor 2.1
Quartile Q2
Latent Representation Learning from 3... publications

Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis

arXiv preprint

Trinh Ngoc Huynh, Nguyen Duc Kien, Nguyen Hai Anh, Dinh Tran Hiep, Manuela Vaneckova, Tomas Uher, Jeroen Van Schependom, Stijn Denissen, Tran Quoc Long, Nguyen Linh Trung and Guy Nagels

Key finding:
This paper presents InfoVAE-Med3D, a latent-representation learning approach for 3D brain MRI that targets interpretable biomarkers of cognitive decline. Across reconstruction and downstream prediction tasks (prediction of age and cognitive performance), InfoVAE-Med3D consistently outperforms other VAE variants, indicating a richer latent space.
A New Smartphone-Based Cognitive Scre... IF 6.0 • Q1 publications

A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study

Journal of Medical Internet Research

Denissen S*, Van Laethem D*, Baijot J, Costers L, Descamps A, Van Remoortel A, Van Merhaegen-Wieleman A, D’hooghe M, D'Haeseleer M, Smeets D, Sima DM, Van Schependom J and Nagels G

Key finding:
This paper validated a new smartphone app to screen for cognitive deterioration in people with MS. All icognition tests correlated well with their paper-and-pencil equivalents, negatively correlated with the Expanded Disability Status Scale, and showed moderate test-retest reliability. Surprisingly, test performance was comparable between people with MS and healthy participants for all cognitive tests, both in icognition and the gold standard paper-and-pencil tests.
Licensed under: CC BY 4.0
Impact Factor 6.0
Quartile Q1
Virtual reality for multiple sclerosi... IF 9.4 • Q1 publications

Virtual reality for multiple sclerosis rehabilitation

Cochrane Database of Systematic Reviews

De Keersmaecker E, Guida S, Denissen S, Dewolf L, Nagels G, Jansen B, Beckwée D and Swinnen E

Key finding:
We found evidence that the use of virtual reality may be more effective than no intervention in improving upper limb function and participation and quality of life. Training with virtual reality may be superior to conventional therapy for improving balance and postural control, and participation and quality of life. For the other outcomes, there was no clear difference between virtual reality and conventional therapy. There was insufficient evidence to reach conclusions about the effect of virtual reality on global motor function, activity limitations and adverse events.
Licensed under: Copyright © 2025 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
Impact Factor 9.4
Quartile Q1
3 minute thesis competition Vietnam scicomm

3 minute thesis competition Vietnam

Event

Summary:
Jury member for a national competition on science communication among engineering students.
The challenge: to explain their research in 3 minutes with a single slide.
Vergeet Dementie scicomm

Vergeet Dementie

Event

Summary:
I contributed to the vulgarising book 'Vergeet Dementie' by authors Ms. Ceuleers and Prof. Engelborghs.
I was interviewed by Ms. Ceuleers about the concept of 'brain age', and provided a layman summary for their book.
De Specialist scicomm

De Specialist

Interview

Summary:
Interview on smartphone symptom screening together with Dr. Delphine Van Laethem (also in other media channels)
Nature Translational Psychiatry IF 6.2 • Q1 reviewer

Nature Translational Psychiatry

Nature Portfolio

Impact Factor 6.2
Quartile Q1
Imaging Neuroscience reviewer

Imaging Neuroscience

MIT Press

Brain Communications IF 4.5 • Q1 reviewer

Brain Communications

Oxford University Press

Impact Factor 4.5
Quartile Q1
Frontiers in Neurology IF 2.8 • Q2 reviewer

Frontiers in Neurology

Frontiers

Licensed under: CC BY 4.0
Impact Factor 2.8
Quartile Q2

2024

PhD Medical Sciences 2019-2024 education

PhD Medical Sciences

Vrije Universiteit Brussel

  • Title: Structural brain damage and cognition in MS: an AI approach
  • Promoters: Prof. Dr. ir. Guy Nagels, Dr. Diana Sima, Prof. Dr. ir. Jeroen Van Schependom
  • Personal grant: VLAIO Baekeland (HBC.2019.2579)
  • Defense date: 30/01/2024
Summary:
My PhD investigated three ways to deal with scarce data to investigate the relationship between structural brain MRI and cognitive impairment in people with MS with AI:
   1. Designing a smartphone application for cognitive screening in MS (icognition)
   2. Leveraging large healthy control databases to predict 'brain age' as in-between step
   3. Establishing a real-world federated learning network to train models without sharing data

Location: Brussels

Licensed under: CC BY 4.0
MOSA conferences

MOSA

Panel member

Summary:
Invited as panelist in discussion on 'Big Data and Artificial Intelligence in Biomedicine' in the MOSA conference by students of Maastricht University.

Location: Maastricht (NL)

ECTRIMS conferences

ECTRIMS

What artificial intelligence tools are ready for MS clinical practice

Summary:
Invited talk for the educational session on 'Clinical implications of digital monitoring and artificial intelligence in MS and related disorders'

Location: Copenhagen (DK)

Brain age as a biomarker for patholog... IF 7.6 • Q1 publications

Brain age as a biomarker for pathological versus healthy ageing–a REMEMBER study

Alzheimer's research & therapy

Wittens MMJ*, Denissen S*, Sima DM, ..., Engelborghs S

Key finding:
Patients with Mild Cognitive Impairment and Alzheimer's Disease Dementia showed an increased brain age compared to their chronological age. Overall, brain age outperformed BPAD and chronological age in terms of classification accuracy across the AD spectrum. There was a weak-to-moderate correlation between total MMSE score and both brain age and BPAD. BPAD was increased in heavy alcohol drinkers compared to non-/sporadic and moderate drinkers.
Licensed under: CC BY 4.0
Impact Factor 7.6
Quartile Q1
The Finger Dexterity Test: Validation... IF 5.0 • Q1 publications

The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment

Multiple Sclerosis Journal

Van Laethem D*, Denissen S*, Costers L, Descamps A, Baijot J, Van Remoortel A, Van Merhaegen-Wieleman A, D’hooghe M, D'Haeseleer M, Smeets D, Sima DM, Van Schependom J and Nagels G

Key finding:
The Finger Dexterity Test significantly correlated with the gold-standard Nine Hole Peg Test (9HPT). MS subjects had significantly higher FDT scores than healthy subjects, which was not the case for the 9HPT. A significant correlation with age, Expanded Disability Status Scale (EDSS), and disease duration for the non-dominant hand was observed. There was a good test–retest reliability in healthy subjects.
Licensed under: © The Author(s), 2023. MSJ papers are typically published under Creative Commons.
Impact Factor 5.0
Quartile Q1
Junior postdoctoral fellow FWO 2024-Ongoing professional

Junior postdoctoral fellow FWO

AIMS lab, VUB

Summary:
Postdoctoral researcher funded by a personal junior postdoctoral fellowship.

Title: Leveraging recent advances in explainable AI to decode cognitive functioning from T1/FLAIR weighted MR images in MS - An international federated learning approach (12A6U25N).
More info: See 'Awards' tab.
LACTRIMS interview scicomm

LACTRIMS interview

Interview

Summary:
Interview by Dr. Lorna Galleguillos on my talk entitled 'What artificial intelligence tools are ready for MS clinical practice' during the educational session on 'Clinical implications of digital monitoring and artificial intelligence in MS and related disorders' at ECTRIMS 2024 in Copenhagen
Award ceremony 'PhD of The Year' scicomm

Award ceremony 'PhD of The Year'

Live Performance

Summary:
Live performance of my PhD in a 3-minute song, in synchrony with my 'a paper in a song' initiative.
Het Nieuwsblad scicomm

Het Nieuwsblad

Interview

Summary:
Interview on brain age
FWO Senior project awards

FWO Senior project

Fonds Wetenschappelijk Onderzoek

Summary:
This FWO senior project (G0A2Q25N) was awarded to my promoter Prof. Guy Nagels. The concepts of this project are an extension of the academic work of my PhD.

Role: Project design, writing + writing coordination

Amount: € 564.000

PhD Thesis of the Year awards

PhD Thesis of the Year

VUB UMCOR

Summary:
In 2024, I was awarded the 'PhD Thesis of the Year' award from the faculty of Medicine and Pharmacy of VUB, together with Dr. Marius Regin. During the award ceremony, I explained my PhD in a 3-minute song, in line with my 'a paper in a song' initiative. The award was announced by Prof. Karine Breckpot.

Amount: € 600

FWO junior postdoc awards

FWO junior postdoc

Fonds Wetenschappelijk onderzoek

Summary:
I obtained this competitive junior post-doctoral fellowship from the first round, covering three years of postdoctoral research at the AIMS lab at VUB (12A6U25N). The project is entitled: 'Leveraging recent advances in explainable AI to decode cognitive functioning from T1/FLAIR weighted MR images in MS - An international federated learning approach'.

Amount: ± € 300.000

Louise Van de Looverbosch mentoring

Louise Van de Looverbosch

Bio-engineering Science

Topic: Age prediction based on vaginal microbiome profiles

Role: Daily Supervisor

Type: Master

Fahimeh Heydarzadeh mentoring

Fahimeh Heydarzadeh

Applied Computer Science

Topic: Optimisation of a federated learning architecture for brainage

Role: Daily Supervisor

Type: Master

Alvaro Javier Vargas Guerrero mentoring

Alvaro Javier Vargas Guerrero

Applied Computer Science

Topic: Federated learning in neuroimaging: pioneering predictive models for brain age estimation

Role: Daily Supervisor

Type: Master

2023

General Faculty Hospital, Prague (CZ) research_stays

General Faculty Hospital, Prague (CZ)

Research Stay

Summary:
I went to Prague for 3 months to set up the federated learning (FL) network that formed a key chapter in my PhD, and the basis for my junior FWO fellowship.
In the figure, we are delivering an FL computer to the radiology department of the First Faculty of Medicine.

Location: Prague (CZ)

Duration: 3 months

Medical diagnosis and a new kid in to... publications

Medical diagnosis and a new kid in town: AI

Book chapter in VUB book 'A question of truth'

Denissen S, Van Schependom J, Nagels G

Key finding:
This paper philosophises about AI in the context of the medical diagnosis.
Licensed under: Copyright VUB Press / Owl press
Trunk training for improving activiti... IF 7.9 • Q1 publications

Trunk training for improving activities in people with stroke

Stroke

Thijs L, Voets E, Denissen S, Mehrholz J, Elsner B, Lemmens R and Verheyden G

Key finding:
This is a summary in Stroke's 'Cochrane Corner' of the eponymous Cochrane review. This review suggests that trunk training improves basic ADL, trunk function, standing balance, walking ability, upper and lower limb function, and quality of life.
Licensed under: © 2023 American Heart Association, Inc.
Impact Factor 7.9
Quartile Q1
Trunk training for improving activiti... IF 8.8 • Q1 publications

Trunk training for improving activities in people with stroke

Cochrane Database of Systematic Reviews

Thijs L, Voets E, Denissen S, Mehrholz J, Elsner B, Lemmens R and Verheyden G

Key finding:
There is evidence to suggest that trunk training as part of rehabilitation improves ADL, trunk function, standing balance, walking ability, upper and lower limb function, and quality of life in people aMer stroke. Core-stability, selective-, and unstable-trunk training were the trunk training approaches mostly applied in the included trials.
Licensed under: Copyright © 2023 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
Impact Factor 8.8
Quartile Q1
VUB PhD day scicomm

VUB PhD day

Live Performance

Summary:
Live performance 'A paper in a song'
Book presentation 'A question of truth' scicomm

Book presentation 'A question of truth'

Interview

Summary:
Interview in the Brussels city hall together with my promoter Prof. Guy Nagels. We discussed our chapter contribution on medical diagnosis and AI.
Travel grant awards

Travel grant

ECTRIMS conference

Summary:
This travel grant was awarded after submission of the abstract entitled 'Transfer learning on structural brain age models to decode cognition in MS: a federated learning approach' to the 2023 edition of ECTRIMS.

Amount: € 400

André Vital Serafim Silva mentoring

André Vital Serafim Silva

Applied Computer Science

Topic: Deep Learning for Brain Age Prediction from T1-Weighted Magnetic Resonance Images

Role: Daily Supervisor

Type: Master

2022

IMSCOGS conferences

IMSCOGS

Brain age as a surrogate marker for IPS in MS

Summary:
Talk about our work on brain age as a cognitive surrogate marker (cfr publications)

Location: Bordeaux (FR)

New therapeutic approaches to disorde... 2019-2022 teaching

New therapeutic approaches to disorders of the CNS

VUB

Summary:
Yearly guest lecture on the progress of my PhD research

Role: Guest lecturer

Radial diffusivity reflects general d... IF 4.6 • Q2 publications

Radial diffusivity reflects general decline rather than specific cognitive deterioration in multiple sclerosis

Scientific Reports

Baijot J, Van Laethem D, Denissen S, Costers L, Cambron M, D’Haeseleer M, D’hooghe MB, Vanbinst A, De Mey J, Nagels G and Van Schependom J

Key finding:
Radial diffusivity is strongly related to cognitive impairment in MS. However, the strong associations of radial diffusivity with both cognition and whole brain lesion volume suggest that it is a surrogate marker for general decline in MS, rather than a marker for specific cognitive functions.
Licensed under: CC BY 4.0
Impact Factor 4.6
Quartile Q2
Artificial intelligence will change M... IF 5.8 • Q1 publications

Artificial intelligence will change MS care within the next 10 years: Yes

Multiple Sclerosis Journal

Denissen S and Nagels G

Key finding:
This paper argues that AI will change MS care within the next 10 years. It is part of a 'controversies' series, together with an article discussing the 'No' and the 'Commentary'.
Impact Factor 5.8
Quartile Q1
Brain age as a surrogate marker for c... IF 5.1 • Q1 publications

Brain age as a surrogate marker for cognitive performance in multiple sclerosis

European journal of neurology

Denissen S, Engemann DA, De Cock A, Costers L, Baijot J, Laton J, Penner I-K, Grothe M, Kirsch M, D'hooghe MB, D'Haeseleer M, Dive D, De Mey J, Van Schependom J, Sima DM and Nagels G

Key finding:
In this paper, we showed with an interpretable linear brain age model that people with MS have brains that look older than their calendar age. We moreover showed that higher overestimation is correlated with worse information processing speed.
Licensed under: CC BY-NC-ND 4.0
Impact Factor 5.1
Quartile Q1
Award ceremony Flemish Thesis Prize (... scicomm

Award ceremony Flemish Thesis Prize (SciMingo)

Live Performance

Summary:
Live performance 'A paper in a song'
KNGF Fysiopraxis scicomm

KNGF Fysiopraxis

Article

Summary:
Vulgarising article about our Cochrane review on interventions to prevent falls post-stroke.

Title: 'Oefentherapie voorkomt vallen na een CVA'.
FWO Travel grant awards

FWO Travel grant

FWO

Summary:
This travel grant covered my research stay for 3 months in Prague, Czechia in 2023 to set up the federated learning network (V412023N).

Role: Awardee

Amount: € 5.808

Robin Lisa Van den Bosch mentoring

Robin Lisa Van den Bosch

Applied Computer Science

Topic: Does deep learning on imaging data enhance accuracy of brain age predictions?

Role: Daily Supervisor

Type: Master

Viktor-Jan De Deken mentoring

Viktor-Jan De Deken

Biomedical Science

Topic: Evolutionary random subspace forest for brain age prediction in multiple sclerosis

Role: Daily Supervisor

Type: Master

Multiple Sclerosis and Related Disorders IF 4.0 • Q2 reviewer

Multiple Sclerosis and Related Disorders

Elsevier

Impact Factor 4.0
Quartile Q2

2021

ACTRIMS conferences

ACTRIMS

Brain age in MS: An explainable principal component of brain MRI and potential sensitive cognitive biomarker

Summary:
Recorded virtual talk (due to COVID-19) at the NAIMS Symposium on 'Big Data and Machine Learning with MRI in Multiple Sclerosis'

Location: Virtual

OpenMR conference 2021-2021 community_engagement

OpenMR conference

Organiser of the 2021 edition.

Summary:
I co-organised a conference for open science in MRI research (OpenMR). Besides securing a 1000 euro pharma grant, I moderated a session, prepared an interactive Python workshop for working with neuroimaging data, and presented my 'a paper in a song' initiative.

Location: Virtual

Role: Organiser of the 2021 edition.

Towards multimodal machine learning p... IF 3.508 • Q2 publications

Towards multimodal machine learning prediction of individual cognitive evolution in multiple sclerosis

Journal of personalized medicine

Denissen S, Chen OY, De Mey J, De Vos M, Van Schependom J, Sima DM and Nagels, G

Key finding:
This review aims to boost the field of machine learning for cognitive prognosis in MS by means of an introduction to machine learning and its pitfalls, an overview of important elements for study design, and an overview of the current literature on cognitive prognosis in MS using machine learning. Furthermore, the review discusses new trends in the field of machine learning that might be adopted for future studies in the field.
Licensed under: CC BY 4.0
Impact Factor 3.508
Quartile Q2
Signal quality as Achilles’ heel of g... IF 4.997 • Q2 publications

Signal quality as Achilles’ heel of graph theory in functional magnetic resonance imaging in multiple sclerosis

Scientific Reports

Baijot J*, Denissen S*, Costers L, Gielen J, Cambron M, D'Haeseleer M, D'hooghe MB, Vanbinst A, De Mey J, Nagels G and Van Schependom J

Key finding:
The results of this paper suggest that differences in network parameters between MS and HS in fMRI do not reflect a functional reorganisation of the brain, but rather occur due to reduced fMRI signal quality. Correlations found with cognitive variables might therefore be false positives, and should be critically assessed.
Licensed under: CC BY 4.0
Impact Factor 4.997
Quartile Q2
Children's university VUB scicomm

Children's university VUB

Event

Summary:
Title of the workshop I presented to primary school childeren: 'How old is my brain?'.
In this workshop, I converted my PhD work in a comprehensible framework for young children.
Together, we explored how AI can measure brain structures, and how we can use it to predict the age of my brain.
YouTube channel scicomm

YouTube channel

Website

Artsenkrant scicomm

Artsenkrant

Interview

Summary:
Interview about ACTRIMS 2021 presentation on brain age.
Wetenschap Brussel + EOS (Cognition) scicomm

Wetenschap Brussel + EOS (Cognition)

Article

Summary:
Blog about cognition, together with Dr. Delphine Van Laethem. Title: 'Hersenspinsels: een editie over cognitie'
Haelio Neurology scicomm

Haelio Neurology

Interview

Summary:
Interview about ACTRIMS 2021 presentation on brain age
Grant for OpenMR Virtual 2021 awards

Grant for OpenMR Virtual 2021

Merck

Summary:
This grant supported the costs to organise the 2021 edition of OpenMR, which was virtual due to COVID-19.

Role: Awardee

Amount: € 1000

Siebe Clarebout mentoring

Siebe Clarebout

Medicine

Topic: Modelling multimodal data to decode cognitive status in MS: A machine learning approach

Role: Daily Supervisor

Type: Master

2020

Interventions for preventing falls in... IF 7.914 • Q1 publications

Interventions for preventing falls in people after stroke

Stroke

Denissen S, Staring W, Kunkel D, Pickering RM, Lennon S, Geurts ACH, Weerdesteyn V and Verheyden GS

Key finding:
This is a summary of the eponymous Cochrane paper, published in the 'Cochrane corner' of Stroke. The results indicate that exercise may be beneficial for preventing rate of falls in people with stroke, but not number of fallers.
Licensed under: © 2020 American Heart Association, Inc.
Impact Factor 7.914
Quartile Q1
Wetenschap Brussel + EOS (AI) scicomm

Wetenschap Brussel + EOS (AI)

Article

Summary:
Blog about artificial intelligence.

Title: 'Hersenspinsels: artificiële intelligentie'

2019

NNR conferences

NNR

Interventions for preventing falls in people after stroke

Summary:
Platform presentation on the results of the update of the 2013 Cochrane review on fall prevention post-stroke.

Location: Maastricht (NL)

RIMS conferences

RIMS

The impact of cognitive dysfunction on locomotor rehabilitation potential in MS

Summary:
Platform presentation on an analysis of rehabilitation data at the National Multiple Sclerosis Center of Melsbroek. (cfr. publications)

Location: Ljubljana (SL)

RIMS conferences

RIMS

The effects of multidisciplinary rehabilitation in MS

Summary:
Platform presentation on an analysis of rehabilitation data at the National Multiple Sclerosis Center of Melsbroek.

Location: Ljubljana (SL)

2019-2021 community_engagement

Board member

Summary:
I co-organised events for the PhD student network in Natural Sciences & Engineering to stimulate connection between PhD students.

Location: VUB

Role: Board member

The Impact of Cognitive Dysfunction o... publications

The Impact of Cognitive Dysfunction on Locomotor Rehabilitation Potential in Multiple Sclerosis

Journal of central nervous system disease

Denissen S, De Cock A, Meurrens T, Vleugels L, Van Remoortel A, Gebara B, D’Haeseleer M, D’Hooghe MB, Van Schependom J, and Nagels G

Key finding:
Cognitive impaired and preserved patients with MS showed a significant within-group difference in 6 Minute Walk Test (6MWT) during hospitalization (COG+: 47.51m; COG–: 40.97m; P<.01). In contrast, Δ6MWT values were comparable between groups. The odds of achieving a minimal clinical important difference on the 6MWT did not differ significantly between both groups. Only attention/concentration was significantly correlated with Δ6MWT.
Licensed under: CC BY-NC 4.0
Interventions for preventing falls in... IF 7.89 • Q1 publications

Interventions for preventing falls in people after stroke

Cochrane database of systematic reviews

Denissen S, Staring W, Kunkel D, Pickering RM, Lennon S, Geurts ACH, Weerdesteyn V and Verheyden GS

Key finding:
This is a summary of the eponymous Cochrane paper, published in the 'Cochrane corner' of Stroke. The results indicate that exercise may be beneficial for preventing rate of falls in people with stroke, but not number of fallers.
Licensed under: Copyright © 2019 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
Impact Factor 7.89
Quartile Q1
PhD Student (VLAIO Baekeland) 2019-2024 professional

PhD Student (VLAIO Baekeland)

Industrial doctorate. AIMS lab (VUB) and icometrix NV (Leuven)

Summary:
Title: Structural brain damage and cognition in MS: an AI approach (HBC.2019.2579). See 'Education' and 'Awards' for more detail.
Baekeland Grant awards

Baekeland Grant

Vlaams agentschap innoveren & ondernemen (VLAIO)

Summary:
I secured a personal Baekeland PhD grant from the first round for my project 'Creating the MS compass of the future: imaging AI to predict disease progression' (HBC.2019.2579, good news reveived on Friday the 13th 🙂) This grant allowed me to carry out my industrial PhD, a collaboration between VUB and imaging AI company icometrix.

Amount: € 279.475

Nominated: Best Young Scientist awards

Nominated: Best Young Scientist

Congress on Neurorehabilitation and Neural Repair

Summary:
Nominated for the Best Young Scientist award of NNR 2019, based on my Cochrane review contribution.

2018

MSc Rehabilitation Sciences 2015-2018 education

MSc Rehabilitation Sciences

KU Leuven

  • Thesis: Trunk rehabilitation in the different recovery phases post-stroke: a systematic review and meta-analysis
  • Promoter: Prof. Dr. Geert Verheyden
  • Track: Neurorehabilitation
  • Note: I was selected for a research internship on brain stimulation under supervision of Prof. Koen Cuypers.
  • Grade: Cum Laude
Summary:
Selective trunk exercises, sitting reaching protocol and weight-shift training seem to provide beneficial effects for treating trunk impairment post-stroke. Furthermore, all protocols had superior effects on some phases post-stroke compared to control therapy. This thesis served as a first step towards a Cochrane review by Thijs et al. 2023.

Location: Leuven

Research assistant Prof. Guy Nagels 2018-2019 professional

Research assistant Prof. Guy Nagels

AIMS lab, VUB

Summary:
Initial lab experience working on various projects, including a project on NMSC Melsbroek rehabilitation data, resulting in a paper in the Journal of Central Nervous System Disease, and continuing the Cochrane update.
Physical therapist 2018-2018 professional

Physical therapist

National Multiple Sclerosis Center Melsbroek

Summary:
Rehabilitation of patients with multiple sclerosis.
Research assistant Prof. Geert Verheyden 2018-2018 professional

Research assistant Prof. Geert Verheyden

Dept. Rehabilitation Sciences, KU Leuven

Summary:
Updating the 2013 Cochrane review of Prof. Verheyden, resulting in a paper in 2019.

2017

Dr. Becker Kiliani-Klinik, Bad Windsh... research_stays

Dr. Becker Kiliani-Klinik, Bad Windsheim (DE)

Internship

Summary:
Neurorehabilitation internship

Location: Bad Windsheim (DE)

Duration: 2 months

Physical therapist 2017-2017 professional

Physical therapist

GIRA Campus Pellenberg, UZ Leuven

Summary:
Geriatric intensive rehabilitation, mainly of patients having suffered a stroke.

2016

2015

BSc Rehabilitation Sciences 2012-2015 education

BSc Rehabilitation Sciences

KU Leuven

  • Grade: Cum Fructu

Location: Leuven

Artifex 2015-2017 community_engagement

Artifex

Co-founder

Summary:
Based on my experience as cultural representative of Apolloon, I recognised a need for a student union dedicated for cultural enrichment for students in Leuven. I founded Artifex, which still exists today, with Yorick Peeters.

Location: Leuven

Role: Co-founder

2014

Apolloon 2014-2015 community_engagement

Apolloon

Board member

Summary:
During the academic year 2014-2015, I was the cultural representative of Apolloon, the student union of the faculty of Movement and Rehabilitation Sciences. My responsibilities were to assure cultural enrichment of the students within the faculty, and to support the day-to-day operation of Apolloon.

Location: KU Leuven

Role: Board member

2013

2012