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Maarten De Vos

Maarten De Vos

D-Index & Metrics

Neuroscience

D-Index
57
Citations
14089
World Ranking
4304
National Ranking
51

Computer Science

D-Index
56
Citations
13539
World Ranking
4051
National Ranking
45

Overview

Maarten De Vos is affiliated with KU Leuven in Belgium and has a research profile primarily focused on Medicine and Neuroscience. Their work spans various subfields, including Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine, and Artificial Intelligence.

The main topics covered in De Vos's research include:

  • EEG and Brain-Computer Interfaces
  • Neonatal and fetal brain pathology
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Non-Invasive Vital Sign Monitoring
  • Obstructive Sleep Apnea Research
  • Epilepsy research and treatment
  • Time Series Analysis and Forecasting

De Vos has contributed publications to several frequent venues, such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Biomedical Engineering
  • IEEE Journal of Biomedical and Health Informatics
  • Epilepsia

Recent papers authored or co-authored by De Vos include:

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal, 2020, BMJ
  • SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification, 2022, IEEE Transactions on Biomedical Engineering
  • XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning, 2020, IEEE Transactions on Biomedical Engineering
  • Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection, 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors collaborating with De Vos include:

  • Christos Chatzichristos
  • Wim Van Paesschen
  • Katrien Jansen
  • Oliver Y. Chén
  • Elisabeth R. M. Heremans

Best Publications

  • How about taking a low-cost, small, and wireless EEG for a walk?

    Stefan Debener;Falk Minow;Reiner Emkes;Katharina Gandras

  • SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

    Huy Phan;Fernando Andreotti;Navin Cooray;Oliver Y. Chen

  • Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis

    Bogdan Mijović;M De Vos;I Gligorijević;J Taelman

  • Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

    Huy Phan;Fernando Andreotti;Navin Cooray;Oliver Y. Chen

  • Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear

    Stefan Debener;Reiner Emkes;Maarten De Vos;Martin Bleichner

  • SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification.

    Huy Phan;Kaare B. Mikkelsen;Oliver Y. Chén;Philipp Koch

  • Decoding the attended speech stream with multi-channel EEG: implications for online, daily-life applications

    Bojana Mirkovic;Stefan Debener;Manuela Jaeger;Maarten De Vos

  • XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.

    Huy Phan;Oliver Y. Chen;Minh C. Tran;Philipp Koch

  • Towards a truly mobile auditory brain–computer interface: Exploring the P300 to take away

    Maarten De Vos;Katharina Gandras;Stefan Debener

  • Neonatal Seizure Detection Using Deep Convolutional Neural Networks.

    Amir Hossein Ansari;Perumpillichira J. Cherian;Perumpillichira J. Cherian;Alexander Caicedo;Gunnar Naulaers

  • Real-time EEG feedback during simultaneous EEG–fMRI identifies the cortical signature of motor imagery

    Catharina Zich;Stefan Debener;Cornelia Kranczioch;Martin G. Bleichner

  • Detecting Bipolar Depression From Geographic Location Data

    N. Palmius;A. Tsanas;K. E. A. Saunders;A. C. Bilderbeck

  • Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder

    A. Tsanas;K.E.A. Saunders;A.C. Bilderbeck;N. Palmius

  • Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone

    M. De Vos;A. Vergult;L. De Lathauwer;W. De Clercq

  • Automated neonatal seizure detection mimicking a human observer reading EEG.

    W. Deburchgraeve;P.J. Cherian;M. De Vos;R.M. Swarte

  • Target Speaker Detection with Concealed EEG Around the Ear.

    Bojana Mirkovic;Martin G. Bleichner;Maarten De Vos;Stefan Debener

  • Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG

    Fernando Andreotti;Oliver Carr;Marco A. F. Pimentel;Adam Mahdi

  • P300 speller BCI with a mobile EEG system: comparison to a traditional amplifier.

    Maarten De Vos;Markus Kroesen;Reiner Emkes;Stefan Debener

  • Review of sleep-EEG in preterm and term neonates.

    Anneleen Dereymaeker;Kirubin Pillay;Jan Vervisch;Maarten De Vos

  • Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

    Huy Phan;Oliver Y. Chen;Philipp Koch;Zongqing Lu

  • Cross-Modal Phase Reset Predicts Auditory Task Performance in Humans

    Jeremy D. Thorne;Maarten De Vos;Filipa Campos Viola;Stefan Debener

Frequent Co-Authors

Stefan Debener
Stefan Debener Carl von Ossietzky University of Oldenburg
Alfred Mertins
Alfred Mertins University of Lübeck
Lieven Lagae
Lieven Lagae KU Leuven
Michele T.M. Hu
Michele T.M. Hu University of Oxford

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