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pro vyhledávání: '"D’hooge, Jan"'
This study presents a deep convolutional auto-encoder network for filtering reverberation artifacts, from transthoracic echocardiographic (TTE) image sequences. Given the spatiotemporal nature of these artifacts, the filtering network was built using
Externí odkaz:
http://arxiv.org/abs/2401.13147
Autor:
Williams, Helena, Pedrosa, João, Asad, Muhammad, Cattani, Laura, Vercauteren, Tom, Deprest, Jan, D'hooge, Jan
Deep learning-based automatic segmentation methods have become state-of-the-art. However, they are often not robust enough for direct clinical application, as domain shifts between training and testing data affect their performance. Failure in automa
Externí odkaz:
http://arxiv.org/abs/2309.02335
Autor:
Asad, Muhammad, Williams, Helena, Mandal, Indrajeet, Ather, Sarim, Deprest, Jan, D'hooge, Jan, Vercauteren, Tom
Existing interactive segmentation methods leverage automatic segmentation and user interactions for label refinement, significantly reducing the annotation workload compared to manual annotation. However, these methods lack quick adaptability to ambi
Externí odkaz:
http://arxiv.org/abs/2303.13696
Autor:
Youssef, Ahmed S., Petrescu, Aniela, Salaets, Thomas, Bézy, Stéphanie, Wouters, Laurine, Orlowska, Marta, Caenen, Annette, Duchenne, Jürgen, Puvrez, Alexis, Cools, Bjorn, Heying, Ruth, D’hooge, Jan, Gewillig, Marc, Voigt, Jens-Uwe
Publikováno v:
In Journal of the American Society of Echocardiography November 2024 37(11):1051-1061
Autor:
Williams, Helena, Pedrosa, João, Cattani, Laura, Housmans, Susanne, Vercauteren, Tom, Deprest, Jan, D'hooge, Jan
Publikováno v:
MICCAI 2021. Lecture Notes in Computer Science, vol 12901. Springer, Cham
Automatic medical image segmentation via convolutional neural networks (CNNs) has shown promising results. However, they may not always be robust enough for clinical use. Sub-optimal segmentation would require clinician's to manually delineate the ta
Externí odkaz:
http://arxiv.org/abs/2110.12939
Autor:
Caenen, Annette, Bézy, Stéphanie, Pernot, Mathieu, Nightingale, Kathryn R., Vos, Hendrik J., Voigt, Jens-Uwe, Segers, Patrick, D’hooge, Jan
Publikováno v:
In JACC: Cardiovascular Imaging March 2024 17(3):314-329
Autor:
Leclerc, Sarah, Smistad, Erik, Pedrosa, João, Østvik, Andreas, Cervenansky, Frederic, Espinosa, Florian, Espeland, Torvald, Berg, Erik Andreas Rye, Jodoin, Pierre-Marc, Grenier, Thomas, Lartizien, Carole, D'hooge, Jan, Lovstakken, Lasse, Bernard, Olivier
Delineation of the cardiac structures from 2D echocardiographic images is a common clinical task to establish a diagnosis. Over the past decades, the automation of this task has been the subject of intense research. In this paper, we evaluate how far
Externí odkaz:
http://arxiv.org/abs/1908.06948
With the introduction of very dense sensor arrays in ultrasound (US) imaging, data transfer rate and data storage became a bottleneck in ultrasound system design. To reduce the amount of sampled channel data, we propose to use a low-rank and joint-sp
Externí odkaz:
http://arxiv.org/abs/1812.04843
Autor:
Bézy, Stéphanie, Duchenne, Jürgen, Orlowska, Marta, Caenen, Annette, Amoni, Matthew, Ingelaere, Sebastian, Wouters, Laurine, McCutcheon, Keir, Minten, Lennert, Puvrez, Alexis, D’hooge, Jan, Voigt, Jens-Uwe
Publikováno v:
In JACC: Cardiovascular Imaging December 2022 15(12):2023-2034
Autor:
Papachristidis, Alexandros, Theodoropoulos, Konstantinos C., Marvaki, Apostolia, Queirós, Sandro, D’hooge, Jan, Masoero, Giovanni, Pagnano, Gianpiero, Huang, Marilou, Dancy, Luke, Sado, Daniel, Shah, Ajay M., Murgatroyd, Francis D., Monaghan, Mark J.
Publikováno v:
In Journal of the American Society of Echocardiography November 2022 35(11):1146-1155