a person in the record
Sabine Van Huffel
Supervised 56 doctoral students; doctoral advisor Joos Vandewalle on Wikidata; 12 doctoral students on Wikidata.
Students56
- Adriaan Lambrechts“Automation of Preoperative Planning for Total Knee Arthroplasty using Machine Learning”2024 · doctoral
- Pooya Ashtari“Brain Lesion Segmentation and Detection on Multi-parametric MRI Data: Marrying Deep Learning with Low-rank Factorization”2023 · doctoral
- Tim Hermans“Improving Robustness and Reliability in Neonatal Brain Monitoring”2023 · doctoral
- Berardino Barile“Machine Learning Methods for Multiple Sclerosis Classification and Prediction using MRI Brain Connectivity”2022 · doctoral
- Amalia Villa Gómez“High-dimensional Techniques for ECG Analysis”2022 · doctoral
- Kaat Vandecasteele“Multimodal Epileptic Seizure Detection: Towards a Wearable Solution”2021 · doctoral
- Dries Hendrikx“Applications of Network Physiology in Neonatology”2021 · doctoral
- Dorien Huysmans“Advances in Unobtrusive Monitoring of Sleep Apnea using Machine Learning”2021 · doctoral
- Jonathan Moeyersons“Advanced Tools for Ambulatory ECG and Respiratory Analysis”2021 · doctoral
- John Fredy Morales Tellez“Respiratory Sinus Arrhythmia Estimation: Closing the Gap between Research and Applications”2021 · doctoral
- Simon Van Eyndhoven“Tensor-based Blind Source Separation for Structured EEG-fMRI Data Fusion”2020 · doctoral
- Ofelie De Wel“Advanced Solutions for Neonatal Sleep Analysis and the Effects of Maturation”2020 · doctoral
- Margot Deviaene“Multimodal Signal Analysis for Unobtrusive Characterization of Obstructive Sleep Apnea”2020 · doctoral
- Mario Lavanga“Advanced Models for Monitoring Stress and Development Trajectories in Premature Infants”2020 · doctoral
- L. Thewissen“Near-infrared spectroscopy in the neonatal intensive care unit: can it change treatment decisions?”2019 · doctoral
- G. Goovaerts“Tensor-based ECG Analysis in Sudden Cardiac Death”2018 · doctoral
- L. Billiet“Clinical Decision Support: Interpretability and Applications in Patient Monitoring”2018 · doctoral
- T. De Cooman“Epileptic Seizure Detection in a Home Environment”2018 · doctoral
- A. Ansari“Development of a Neonatal EEG Monitor for Automated Brain Analysis”2018 · doctoral
- B. Halandur Nagaraja“Tensor Based Approaches in Magnetic Resonance Spectroscopic Imaging and Multi-parametric MRI Data Analysis”2018 · doctoral
- Y. Rodríguez Aldana“Methods for Nonconvulsive Epileptic Seizure Monitoring”2018 · doctoral
- Alexander Alexeis Suárez León“Machine Learning Approaches for Ambulatory Electrocardiography Signal Processing”2018 · doctoral
- Bert Vandenberk“Non-Invasive Risk Stratification of Ventricular Arrhythmia and Sudden Cardiac Death”2017 · doctoral
- Philippe De Vloo“Electrical stimulation of the abnormal brain cavity wall to reduce its associated symptons. A generic approach applied in central post-stroke pain.”2017 · doctoral
- Adrian Ion - Margineanu“Machine Learning for Classifying Abnormal Brain Tissue Progression based on Multi-parametric Magnetic Resonance Data”2017 · doctoral
- Saurabh Jain“Combining Anatomical and Spectral Information to Enhance MRSI Resolution and Quantification: Application to Multiple Sclerosis”2017 · doctoral
- Claudio Stamile“Unsupervised Models for White Matter Fiber-Bundles Analysis in Multiple Sclerosis”2017 · doctoral
- Rob Zink“Mobile EEG and Tensor Approaches for Auditory Attention Analysis in Real-life”2017 · doctoral
- Laure Wynants“Clinical Risk Prediction Models based on Multicenter Data: Methods for Model Development and Validation”2016 · doctoral
- Nicolas Sauwen“Unsupervised and Semi-supervised Non-negative Matrix Factorization Methods for Brain Tumor Segmentation using Multi-parametric MRI Data”2016 · doctoral
- Carolina Varon“Mining the ECG: Algorithms and Applications”2015 · doctoral
- Ninah Koolen“Automated Quantification of Preterm Brain Maturation using Electroencephalography”2015 · doctoral
- Vladimir Matic“Neonatal EEG Signal Processing”2015 · doctoral
- Milica Milosevic“Automated Detection of Epileptic Seizures in Pediatric Patients based onAccelerometry and Surface Electromyography”2015 · doctoral
- Devy Widjaja“Cardiorespiratory Dynamics: Algorithms and Application to Mental StressMonitoring”2015 · doctoral
- Tim Willemen“Biomechanics Based Analysis of Sleep”2015 · doctoral
- Borbála Hunyadi“Learning from Structured EEG and fMRI Data Supporting the Diagnosis of Epilepsy (Leren van gestructureerde EEG en fMRI data voor ondersteuning van de diagnose van epilepsie)”2014 · doctoral
- Kirsten Van Hoorde“Updating and Calibration of Multinomial Risk Prediction Models”2014 · doctoral
- Alexander Caicedo Dorado“Signal Processing for Monitoring Cerebral Hemodynamics in Neonates (Signaalverwerking voor het opvolgen van cerebrale hemodynamische bij pasgeborenen)”2013 · doctoral
- Ivan Gligorijevic“Spike Train Discrimination and Analysis in Neural and Surface Electromyography (sEMG) Applications (Het onderscheiden en analyseren van spike-treinen in neurale en oppervlakte electromyogram (sEMG) toepassingen)”2013 · doctoral
- Katrien Jansen“Multimodal monitoring of electrophysiological signals in childhood epilepsy and neonatal encephalopathy”2013 · doctoral
- Kris Cuppens“Detection of epileptic seizures based on video and accelerometer recordings (Detectie van epileptische aanvallen gebaseerd op video- en accelerometeropnamen)”2012 · doctoral
- Bogdan Mijovic“Data-Driven Multimodal Signal Processing with Applications to EEG-fMRI Fusion (Datagedreven multimodale signaalverwerking met toepassingen in EEG-fMRI fusie)”2012 · doctoral
- Anca Ramona Croitor Sava“Signal Processing and Classification for Magnetic Resonance Spectroscopy with Clinical Applications (Signaalverwerking en classificatie van magnetische resonantie spectroscopie met klinische toepassingen)”2011 · doctoral
- Roeland Huys“CMOS Microelectrode Arrays for Neurophysiological Applications (CMOS micro-electrode arrays voor neurofysiologische toepassingen)”2011 · doctoral
- Maria Isabel Osorio Garcia“Advanced Signal Processing for Magnetic Resonance Spectroscopy (Geavanceerde signaalverwerking voor magnetische resonantie spectroscopie)”2011 · doctoral
- Katrien Vanderperren“Improving Data-Driven EEG-fMRI Analyses for the Study of Cognitive Functioning (Verbeteren van datagedreven EEG-fMRI analyses voor het bestuderen van cognitief functioneren)”2011 · doctoral
- Jan Luts“Classification of Brain Tumors Based on Magnetic Resonance Spectroscopy (Classificatie van hersentumoren op basis van magnetische resonantie spectroscopie)”2010 · doctoral
- Vanya Van Belle“Non-Linear Survival Models and Their Applications Within Breast Cancer Prognosis (Niet-lineaire overlevingsmodellen en hun toepassingen in borstkankerprognose)”2010 · doctoral
- Mariya Ishteva“Numerical Methods for the Best Low Multilinear Rank Approximation of Higher-Order Tensors (Numerieke methoden voor de beste lage multilineaire rang benadering van hogere-orde tensoren)”2009 · doctoral
- Ben Van Calster“Predictive Diagnostic Models for Gynecologic Applications with Focus on Multi-Class Classification (Predictieve diagnostische modellen voor gynaecologische toepassingen met nadruk op meerklasse classificatie)”2008 · doctoral
- Jean-Baptiste Poullet“Quantification and Classification of Magnetic Resonance Spectroscopic Data for Brain Tumor Diagnosis (Kwantificatie en classificatie van magnetische resonantie spectroscopie data voor de diagnose van hersentumoren)”2008 · doctoral
- Diana Maria Sima“Regularization Techniques in Model Fitting and Parameter Estimation (Regularisatietechnieken in modellering en parameterschatting)”2006 · doctoral
- Mieke Schuermans“Weighted Low Rank Approximation Algorithms and Applications (Gewogen lagererangbenaderingsproblemen: algoritmen en toepassingen)”2006 · doctoral
- Wim De Clercq“Advanced Preprocessing Techniques and Nonlinear Signal Analysis Applied to Scalp Electroencephalograms for the Prediction of Epileptic Seizures (Gevorderde voorbewerkingstechnieken en niet-lineaire signaalanalyse toegepast op scalp EEG signalen voor de voorspelling van epileptische aanvallen)”2005 · doctoral
- Andy Devos“Quantification and Classification of Magnetic Resonance Spectroscopy Data and Applications to Brain Tumour Recognition (Kwantificatie en classificatie van Magnetische Resonantie Spectroscopie data en toepassingen voor de patroonherkenning van hersentumoren)”2005 · doctoral
Students on Wikidata12
From Wikidata, shown separately from the thesis records.
Cite this page
The record changes as sources are read again, so a citation says when the page was read.
bibtex
@misc{academicancestry_Q37364431,
author = {{Academic Ancestry}},
title = {{Sabine Van Huffel: advisors and students}},
year = {2026},
url = {https://academicancestry.org/person/Q37364431},
note = {read on 2026-10-16}
}apa
Academic Ancestry. (2026, October 16). Sabine Van Huffel: Advisors and students [Read on 2026-10-16]. https://academicancestry.org/person/Q37364431