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Browsing by Author "Aelterman, Jan"

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    A Display-Adaptive Pipeline for Dynamic Range Expansion of Standard Dynamic Range Video Content

    Luzardo, Gonzalo  
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    Kumcu, Asli  
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    Aelterman, Jan  
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    Luong, Hiep  
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    Ochoa, Daniel
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    Philips, Wilfried  
    Journal article
    2024, APPLIED SCIENCES-BASEL, (14) 10, p.Art. 4081
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    Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing

    Naeyaert, Maarten
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    Aelterman, Jan  
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    Van Audekerke, Johan
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    Golkov, Vladimir
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    Cremers, Daniel
    Journal article
    2020, Magnetic Resonance in Medicine, (85) 3, p.1397-1413
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    An experimental study on the perceived quality of natively graded versus inverse tone mapped high dynamic range video content on television

    Luzardo, Gonzalo  
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    Vyvey, Tine
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    Aelterman, Jan  
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    Paridaens, Tom
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    Van Wallendael, Glenn
    Journal article
    2021, MULTIMEDIA TOOLS AND APPLICATIONS, (80) 4, p.5559-5576
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    An interactive ImageJ plugin for semi-automated image denoising in electron microscopy

    Roels, Joris
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    Vernaillen, Frank
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    Kremer, Anna
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    Gonçalves, Amanda
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    Aelterman, Jan  
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    Luong, Hiep  
    Journal article
    2020, Nature Communications, 11, p.771
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    An overview of state-of-the-art image restoration in electron microscopy

    Roels, Joris
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    Aelterman, Jan  
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    Luong, Hiep  
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    Lippens, Saskia
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    Pizurica, Aleksandra
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    Saeys, Yvan
    Journal article
    2018, Journal of Microscopy, (271) 3, p.239-254
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    Bayesian Optimisation of Existing Object Detection Methods for New Contexts

    Willems, Tim  
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    Aelterman, Jan  
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    Van Hamme, David  
    Proceedings paper
    2023, IEEE Sensors Conference, OCT 29-NOV 01, 2023
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    Bayesian optimization of MRI k-Space trajectories

    Van Steenkiste, Tom  
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    Aelterman, Jan  
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    Luong, Hiep  
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    Deschrijver, Dirk  
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    Dhaene, Tom  
    Meeting abstract
    2019, BHI2019, the IEEE-EMBS International Conference on Biomedical and Health Informatics, 19/05/2019, p.1
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    CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection

    Lee, Wei-Yu  
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    Dimitrievski, Martin  
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    Van Hamme, David  
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    Aelterman, Jan  
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    Jovanov, Ljubomir  
    Proceedings paper
    2025, 18th European Conference on Computer Vision (ECCV), SEP 29-OCT 04, 2024, p.294-310
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    Context-compensated Probabilistic Pedestrian Detection

    Willems, Tim  
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    Aelterman, Jan  
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    Van Hamme, David  
    Proceedings paper
    2024, IEEE Intelligent Vehicles Symposium (IV), JUN 02-05, 2024, p.2148-2153
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    Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy

    Roels, Joris
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    De Vylder, Jonas
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    Aelterman, Jan  
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    Saeys, Yvan
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    Philips, Wilfried  
    Proceedings paper
    2017, 14th International symposium on Biomedical Imaging - ISBI, 18/04/2017, p.633-637
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    Deep learning segmentation of wood fiber bundles in fiberboards

    Kibleur, Pierre
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    Boone, Matthieu N.
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    Van den Bulcke, Jan
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    Van Acker, Joris
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    Aelterman, Jan  
    Journal article
    2022, COMPOSITES SCIENCE AND TECHNOLOGY, 221, p.109287
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    Deep Learning Tone-Mapping and Demosaicing for Automotive Vision Systems

    Stojkovic, Ana  
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    Aelterman, Jan  
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    Van Hamme, David  
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    Shopovska, Ivana  
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    Philips, Wilfried  
    Journal article
    2023, SENSORS, (23) 20, p.Art. 8507
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    Deep-Learning Based Quantification of Bovine Oocyte Quality From Microscopy Images

    Costa, Matilde
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    Strumane, Anoek  
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    Raes, Annelies
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    Van Soom, Ann
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    Babin, Danilo  
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    Aelterman, Jan  
    Proceedings paper
    2023, 45th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), JUL 24-27, 2023
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    Detailed analysis of the interference patterns measured in lab-based X- ray dual-phase grating interferometry through wave propagation simulation

    Tang, Ruizhi
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    Organista, Caori
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    Goethals, Wannes
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    Stolp, Wiebe
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    Stampanoni, Marco
    Journal article
    2023, OPTICS EXPRESS, (31) 2, p.1677-1691
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    Dose-volume-based evaluation of convolutional neural network-based auto-segmentation of thoracic organs at risk

    Johnston, Noemie
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    De Rycke, Jeffrey
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    Lievens, Yolande
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    van Eijkeren, Marc
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    Aelterman, Jan  
    Journal article
    2022, PHYSICS & IMAGING IN RADIATION ONCOLOGY, 23, p.109-117
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    DYRECT Computed Tomography: DYnamic Reconstruction of Events on a Continuous Timescale

    Goethals, Wannes
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    Bultreys, Tom
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    Berg, Steffen
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    Boone, Matthieu N.
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    Aelterman, Jan
    Journal article
    2025, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 11, p.638-649
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    Event-based video reconstruction via attention-based recurrent network

    Ma, Wenwen
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    Ma, Shanxing  
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    Meiresone, Pieter  
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    Allebosch, Gianni  
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    Philips, Wilfried  
    Journal article
    2025-JUN 1, NEUROCOMPUTING, 632
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    Fully-automatic inverse tone mapping algorithm based on dynamic mid-level tone mapping

    Luzardo, Gonzalo  
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    Aelterman, Jan  
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    Luong, Hiep  
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    Rousseaux, Sven
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    Ochoa Donoso, Daniel
    Journal article
    2020, APSIPA Transactions on Signal and Information Processing, 9, p.e7
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    Fully-automatic inverse tone mapping preserving the content creator's artistic intentions

    Luzardo, Gonzalo  
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    Aelterman, Jan  
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    Luong, Hiep  
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    Philips, Wilfried  
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    Ochoa, Daniel
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    Rousseaux, Sven
    Proceedings paper
    2018, Picture Coding Symposium - PCS, 24/06/2018, p.199-203
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    Geometrical and deep learning approaches for instance segmentation of CFRP fiber bundles in textile composites

    Sinchuk, Yuriy
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    Kibleur, Pierre
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    Aelterman, Jan  
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    Boone, Matthieu N.
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    Van Paepegem, Wim
    Journal article
    2021, COMPOSITE STRUCTURES, 277, p.114626
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