Sabine Van Huffel

Professor

KU Leuven

Belgium

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Professor Sabine Van Huffel is a faculty member at KU Leuven, Belgium. Her research areas include image compression, preoperative prediction of implant sizes, movement primitives for robust control, and cardiorespiratory estimation. She has contributed significantly to the field with recent publications focusing on topics such as neonatal sleep detection, ventilatory patterns in cardiomyopathy, and assessments of bioimpedance signals.

Articles (11)

Year:

2026

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (8)

Adnan Albaba

Vrije Universiteit Brussel

BELGIUM

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Fateme Nateghi Haredasht

Stanford University

UNITED STATES

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Andrea Rozo

Université libre de Bruxelles (ULB)

BELGIUM

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Bert Vandenberk

University Hospitals Leuven

BELGIUM

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Carolina Varon

Université libre de Bruxelles (ULB)

BELGIUM

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Jonathan H. Chen

Assistant Professor

Stanford University School of Medicine

UNITED STATES

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Kerrie Mengersen

AUSTRALIA

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Justin Lipman

University of Sydney

AUSTRALIA

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Sabine Van Huffel

Research Interests

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About

Articles (11)

Quantization-aware matrix factorization for low bit rate image compression

Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone Shape

Temporal Changes in Beat‐to‐Beat Variability of Repolarization Predict Imminent Nonsustained Ventricular Tachycardia in Patients With Ischemic and Nonischemic Dilated Cardiomyopathy

A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control

A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels

Technical aspects of cardiorespiratory estimation using subspace projections and cross entropy

Capacitively-Coupled ECG and Respiration for Sleep–Wake Prediction and Risk Detection in Sleep Apnea Patients

Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions

Utility metric for unsupervised feature selection

Automatic quality assessment of capacitively-coupled bioimpedance signals for respiratory activity monitoring

Model-Based Evaluation of Methods for Respiratory Sinus Arrhythmia Estimation

Collaborators (8)

Adnan Albaba

Fateme Nateghi Haredasht

Andrea Rozo

Bert Vandenberk

Carolina Varon

Jonathan H. Chen

Kerrie Mengersen

Justin Lipman

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