Sabine Van Huffel

Sabine J. A. Van Huffel (born 26 September 1958) is a Belgian computer scientist, applied mathematician, and electrical engineer, whose research concerns computational methods for medical diagnostics, and in particular methods based on total least squares. Provided by Wikipedia
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  1. 1
    New multiple sclerosis lesion segmentation and detection using pre-activation U-Net

    New multiple sclerosis lesion segmentation and detection using pre-activation U-Net by Pooya Ashtari, Pooya Ashtari, Berardino Barile, Berardino Barile, Sabine Van Huffel, Dominique Sappey-Marinier

    Published 2022-10-01
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  2. 2
    Partial wavelet coherence as a robust method for assessment of neurovascular coupling in neonates with hypoxic ischemic encephalopathy

    Partial wavelet coherence as a robust method for assessment of neurovascular coupling in neonates with hypoxic ischemic encephalopathy by Tim Hermans, Katherine Carkeek, Anneleen Dereymaeker, Katrien Jansen, Gunnar Naulaers, Sabine Van Huffel, Maarten De Vos

    Published 2023-01-01
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  3. 3
    Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone Shape

    Preoperative Prediction of Optimal Femoral Implant Size by Regularized Regression on 3D Femoral Bone Shape by Adriaan Lambrechts, Christophe Van Dijck, Roel Wirix-Speetjens, Jos Vander Sloten, Frederik Maes, Sabine Van Huffel

    Published 2023-03-01
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  4. 4
    Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection

    Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection by Thijs Becker, Kaat Vandecasteele, Christos Chatzichristos, Wim Van Paesschen, Dirk Valkenborg, Sabine Van Huffel, Maarten De Vos

    Published 2021-02-01
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  5. 5
    Capacitively-Coupled ECG and Respiration for Sleep–Wake Prediction and Risk Detection in Sleep Apnea Patients

    Capacitively-Coupled ECG and Respiration for Sleep–Wake Prediction and Risk Detection in Sleep Apnea Patients by Dorien Huysmans, Ivan Castro, Pascal Borzée, Aakash Patel, Tom Torfs, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon

    Published 2021-09-01
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  6. 6
    Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach

    Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach by Jonathan Moeyersons, John Morales, Nick Seeuws, Chris Van Hoof, Evelien Hermeling, Willemijn Groenendaal, Rik Willems, Sabine Van Huffel, Carolina Varon

    Published 2021-04-01
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  7. 7
    Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions

    Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions by Andrea Rozo, John Morales, Jonathan Moeyersons, Rohan Joshi, Enrico G. Caiani, Pascal Borzée, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon

    Published 2021-07-01
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  8. 8
    Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG

    Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG by Jonathan Moeyersons, John Morales, Amalia Villa, Ivan Castro, Dries Testelmans, Bertien Buyse, Chris Van Hoof, Rik Willems, Sabine Van Huffel, Carolina Varon

    Published 2021-01-01
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  9. 9
    Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation

    Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation by Hélène De Cannière, Federico Corradi, Christophe J. P. Smeets, Melanie Schoutteten, Carolina Varon, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, Pieter Vandervoort

    Published 2020-06-01
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  10. 10
    Short-Term Exercise Progression of Cardiovascular Patients throughout Cardiac Rehabilitation: An Observational Study

    Short-Term Exercise Progression of Cardiovascular Patients throughout Cardiac Rehabilitation: An Observational Study by Hélène De Cannière, Christophe J. P. Smeets, Melanie Schoutteten, Carolina Varon, John F. Morales Tellez, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, Pieter Vandervoort

    Published 2020-09-01
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  11. 11
    Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

    Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome by Berardino Barile, Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier, Dominique Sappey-Marinier

    Published 2022-10-01
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