Zobrazeno 1 - 10
of 1 254
pro vyhledávání: '"A. Van Oevelen"'
Autor:
A. Van Oevelen, M. Peiffer, A. Chevalier, J. Victor, G. Steenackers, E. Audenaert, K. Duquesne
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Over the past 30 years, research on meniscal kinematics has been limited by challenges such as low-resolution imaging and capturing continuous motion from static data. This study aimed to develop a computational knee model that overcomes the
Externí odkaz:
https://doaj.org/article/e69a5b3aecae4167a5ed5e94ef5d768a
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Background: Given the inherent variability in walking speeds encountered in day-to-day activities, understanding the corresponding alterations in ankle biomechanics would provide valuable clinical insights. Therefore, the objective of this study was
Externí odkaz:
https://doaj.org/article/510e85fb1c5d494f9342bd7d056643d3
Autor:
A. Van Oevelen, K. Duquesne, M. Peiffer, J. Grammens, A. Burssens, A. Chevalier, G. Steenackers, J. Victor, E. Audenaert
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Background and Objective: As in vivo measurements of knee joint contact forces remain challenging, computational musculoskeletal modeling has been popularized as an encouraging solution for non-invasive estimation of joint mechanical loading. Computa
Externí odkaz:
https://doaj.org/article/840e9307afdf44198ee1776a67168c23
Autor:
A. Van Oevelen, I. Van den Borre, K. Duquesne, A. Pizurica, J. Victor, N. Nauwelaers, P. Claes, E. Audenaert
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Background: To date, the amount of cartilage loss is graded by means of discrete scoring systems on artificially divided regions of interest (ROI). However, optimal statistical comparison between and within populations requires anatomically standardi
Externí odkaz:
https://doaj.org/article/9170c98c7e1d4a51ae4b69110d12d17b
Autor:
Li, Jianning, Zhou, Zongwei, Yang, Jiancheng, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Qu, Chongyu, Zhang, Tiezheng, Chen, Xiaoxi, Li, Wenxuan, Wodzinski, Marek, Friedrich, Paul, Xie, Kangxian, Jin, Yuan, Ambigapathy, Narmada, Nasca, Enrico, Solak, Naida, Melito, Gian Marco, Vu, Viet Duc, Memon, Afaque R., Schlachta, Christopher, De Ribaupierre, Sandrine, Patel, Rajnikant, Eagleson, Roy, Chen, Xiaojun, Mächler, Heinrich, Kirschke, Jan Stefan, de la Rosa, Ezequiel, Christ, Patrick Ferdinand, Li, Hongwei Bran, Ellis, David G., Aizenberg, Michele R., Gatidis, Sergios, Küstner, Thomas, Shusharina, Nadya, Heller, Nicholas, Andrearczyk, Vincent, Depeursinge, Adrien, Hatt, Mathieu, Sekuboyina, Anjany, Löffler, Maximilian, Liebl, Hans, Dorent, Reuben, Vercauteren, Tom, Shapey, Jonathan, Kujawa, Aaron, Cornelissen, Stefan, Langenhuizen, Patrick, Ben-Hamadou, Achraf, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Bolelli, Federico, Grana, Costantino, Lumetti, Luca, Salehi, Hamidreza, Ma, Jun, Zhang, Yao, Gharleghi, Ramtin, Beier, Susann, Sowmya, Arcot, Garza-Villarreal, Eduardo A., Balducci, Thania, Angeles-Valdez, Diego, Souza, Roberto, Rittner, Leticia, Frayne, Richard, Ji, Yuanfeng, Ferrari, Vincenzo, Chatterjee, Soumick, Dubost, Florian, Schreiber, Stefanie, Mattern, Hendrik, Speck, Oliver, Haehn, Daniel, John, Christoph, Nürnberger, Andreas, Pedrosa, João, Ferreira, Carlos, Aresta, Guilherme, Cunha, António, Campilho, Aurélio, Suter, Yannick, Garcia, Jose, Lalande, Alain, Vandenbossche, Vicky, Van Oevelen, Aline, Duquesne, Kate, Mekhzoum, Hamza, Vandemeulebroucke, Jef, Audenaert, Emmanuel, Krebs, Claudia, van Leeuwen, Timo, Vereecke, Evie, Heidemeyer, Hauke, Röhrig, Rainer, Hölzle, Frank, Badeli, Vahid, Krieger, Kathrin, Gunzer, Matthias, Chen, Jianxu, van Meegdenburg, Timo, Dada, Amin, Balzer, Miriam, Fragemann, Jana, Jonske, Frederic, Rempe, Moritz, Malorodov, Stanislav, Bahnsen, Fin H., Seibold, Constantin, Jaus, Alexander, Marinov, Zdravko, Jaeger, Paul F., Stiefelhagen, Rainer, Santos, Ana Sofia, Lindo, Mariana, Ferreira, André, Alves, Victor, Kamp, Michael, Abourayya, Amr, Nensa, Felix, Hörst, Fabian, Brehmer, Alexander, Heine, Lukas, Hanusrichter, Yannik, Weßling, Martin, Dudda, Marcel, Podleska, Lars E., Fink, Matthias A., Keyl, Julius, Tserpes, Konstantinos, Kim, Moon-Sung, Elhabian, Shireen, Lamecker, Hans, Zukić, Dženan, Paniagua, Beatriz, Wachinger, Christian, Urschler, Martin, Duong, Luc, Wasserthal, Jakob, Hoyer, Peter F., Basu, Oliver, Maal, Thomas, Witjes, Max J. H., Schiele, Gregor, Chang, Ti-chiun, Ahmadi, Seyed-Ahmad, Luo, Ping, Menze, Bjoern, Reyes, Mauricio, Deserno, Thomas M., Davatzikos, Christos, Puladi, Behrus, Fua, Pascal, Yuille, Alan L., Kleesiek, Jens, Egger, Jan
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit s
Externí odkaz:
http://arxiv.org/abs/2308.16139
Autor:
Pint, Steven, Stevens, Martha, Musimwa, Rutendo, Standaert, Ward, De Troch, Marleen, van Oevelen, Dick, Heymans, Johanna Jacomina, Everaert, Gert
Publikováno v:
In Ocean and Coastal Management 1 September 2024 255
Publikováno v:
In Smart Energy November 2024 16
Autor:
Voorend, Carlijn G.N., van Buren, Marjolijn, Berkhout-Byrne, Noeleen C., Kerckhoffs, Angèle P.M., van Oevelen, Mathijs, Gussekloo, Jacobijn, Richard, Edo, Bos, Willem Jan W., Mooijaart, Simon P.
Publikováno v:
In American Journal of Kidney Diseases February 2024 83(2):162-172
Publikováno v:
BioScience, 2019 Nov 01. 69(11), 867-945.
Externí odkaz:
https://www.jstor.org/stable/26823634
Autor:
Li, Jing, Fang, Mengze, Van Oevelen, Aline, Peiffer, Matthias, Audenaert, Emmanuel, Burssens, Arne
Publikováno v:
In Foot and Ankle Surgery January 2024 30(1):7-20