MedShapeNet – a Large-Scale Dataset of 3D Medical Shapes for Computer Vision

MedShapeNet – a Large-Scale Dataset of 3D Medical Shapes for Computer Vision . Li, J., Zhou, Z., Yang, J., Pepe, A., Gsaxner, C., Luijten, G., Qu, C., Zhang, T., Chen, X., Li, W., Wodzinski, M., Friedrich, P., Xie, K., Jin, Y., Ambigapathy, N., Nasca, E., Solak, N., Melito, G. M., Vu, V. D., Memon, A. R., Schlachta, C., Ribaupierre, S. D., Patel, R., Eagleson, R., Chen, X., Mächler, H., Kirschke, J. S., de la Rosa, E., Christ, P. F., Li, H. B., Ellis, D. G., Aizenberg, M. R., Gatidis, S., Küstner, T., Shusharina, N., Heller, N., Andrearczyk, V., Depeursinge, A., Hatt, M., Sekuboyina, A., Löffler, M. T., Liebl, H., Dorent, R., Vercauteren, T., Shapey, J., Kujawa, A., Cornelissen, S., Langenhuizen, P., Ben-Hamadou, A., Rekik, A., Pujades, S., Boyer, E., Bolelli, F., Grana, C., Lumetti, L., Salehi, H., Ma, J., Zhang, Y., Gharleghi, R., Beier, S., Sowmya, A., Garza-Villarreal, E. A., Balducci, T., Angeles-Valdez, D., Souza, R., Rittner, L., Frayne, R., Ji, Y., Ferrari, V., Chatterjee, S., Dubost, F., Schreiber, S., Mattern, H., Speck, O., Haehn, D., John, C., Nürnberger, A., Pedrosa, J., Ferreira, C., Aresta, G., Cunha, A., Campilho, A., Suter, Y., Garcia, J., Lalande, A., Vandenbossche, V., Oevelen, A. V., Duquesne, K., Mekhzoum, H., Vandemeulebroucke, J., Audenaert, E., Krebs, C., van Leeuwen, T., Vereecke, E., Heidemeyer, H., Röhrig, R., Hölzle, F., Badeli, V., Krieger, K., Gunzer, M., Chen, J., van Meegdenburg, T., Dada, A., Balzer, M., Fragemann, J., Jonske, F., Rempe, M., Malorodov, S., Bahnsen, F. H., Seibold, C., Jaus, A., Marinov, Z., Jaeger, P. F., Stiefelhagen, R., Santos, A. S., Lindo, M., Ferreira, A., Alves, V., Kamp, M., Abourayya, A., Nensa, F., Hörst, F., Brehmer, A., Heine, L., Hanusrichter, Y., Weßling, M., Dudda, M., Podleska, L. E., Fink, M. A., Keyl, J., Tserpes, K., Kim, M., Elhabian, S., Lamecker, H., Zukić, D., Paniagua, B., Wachinger, C., Urschler, M., Duong, L., Wasserthal, J., Hoyer, P. F., Basu, O., Maal, T., Witjes, M. J. H., Schiele, G., Chang, T., Ahmadi, S., Luo, P., Menze, B., Reyes, M., Deserno, T. M., Davatzikos, C., Puladi, B., Fua, P., Yuille, A. L., Kleesiek, J., & Egger, J. Biomedical Engineering / Biomedizinische Technik, De Gruyter, December, 2024.
doi bibtex

@article{liMedShapeNetLargescaleDataset2024,
	title        = {
		{{MedShapeNet}} -- a Large-Scale Dataset of {{3D}} Medical Shapes for
		Computer Vision
	},
	author       = {
		Li, Jianning and Zhou, Zongwei and Yang, Jiancheng and Pepe, Antonio and
		Gsaxner, Christina and Luijten, Gijs and Qu, Chongyu and Zhang, Tiezheng and
		Chen, Xiaoxi and Li, Wenxuan and Wodzinski, Marek and Friedrich, Paul and
		Xie, Kangxian and Jin, Yuan and Ambigapathy, Narmada and Nasca, Enrico and
		Solak, Naida and Melito, Gian Marco and Vu, Viet Duc and Memon, Afaque R. and
		Schlachta, Christopher and Ribaupierre, Sandrine De and Patel, Rajnikant and
		Eagleson, Roy and Chen, Xiaojun and M{\"a}chler, Heinrich and Kirschke, Jan
		Stefan and de la Rosa, Ezequiel and Christ, Patrick Ferdinand and Li, Hongwei
		Bran and Ellis, David G. and Aizenberg, Michele R. and Gatidis, Sergios and
		K{\"u}stner, Thomas and Shusharina, Nadya and Heller, Nicholas and
		Andrearczyk, Vincent and Depeursinge, Adrien and Hatt, Mathieu and
		Sekuboyina, Anjany and L{\"o}ffler, Maximilian T. and Liebl, Hans and Dorent,
		Reuben and Vercauteren, Tom and Shapey, Jonathan and Kujawa, Aaron and
		Cornelissen, Stefan and Langenhuizen, Patrick and {Ben-Hamadou}, Achraf and
		Rekik, Ahmed and Pujades, Sergi and Boyer, Edmond and Bolelli, Federico and
		Grana, Costantino and Lumetti, Luca and Salehi, Hamidreza and Ma, Jun and
		Zhang, Yao and Gharleghi, Ramtin and Beier, Susann and Sowmya, Arcot and
		{Garza-Villarreal}, Eduardo A. and Balducci, Thania and {Angeles-Valdez},
		Diego and Souza, Roberto and Rittner, Leticia and Frayne, Richard and Ji,
		Yuanfeng and Ferrari, Vincenzo and Chatterjee, Soumick and Dubost, Florian
		and Schreiber, Stefanie and Mattern, Hendrik and Speck, Oliver and Haehn,
		Daniel and John, Christoph and N{\"u}rnberger, Andreas and Pedrosa, Jo{\~a}o
		and Ferreira, Carlos and Aresta, Guilherme and Cunha, Ant{\'o}nio and
		Campilho, Aur{\'e}lio and Suter, Yannick and Garcia, Jose and Lalande, Alain
		and Vandenbossche, Vicky and Oevelen, Aline Van and Duquesne, Kate and
		Mekhzoum, Hamza and Vandemeulebroucke, Jef and Audenaert, Emmanuel and Krebs,
		Claudia and van Leeuwen, Timo and Vereecke, Evie and Heidemeyer, Hauke and
		R{\"o}hrig, Rainer and H{\"o}lzle, Frank and Badeli, Vahid and Krieger,
		Kathrin and Gunzer, Matthias and Chen, Jianxu and van Meegdenburg, Timo and
		Dada, Amin and Balzer, Miriam and Fragemann, Jana and Jonske, Frederic and
		Rempe, Moritz and Malorodov, Stanislav and Bahnsen, Fin H. and Seibold,
		Constantin and Jaus, Alexander and Marinov, Zdravko and Jaeger, Paul F. and
		Stiefelhagen, Rainer and Santos, Ana Sofia and Lindo, Mariana and Ferreira,
		Andr{\'e} and Alves, Victor and Kamp, Michael and Abourayya, Amr and Nensa,
		Felix and H{\"o}rst, Fabian and Brehmer, Alexander and Heine, Lukas and
		Hanusrichter, Yannik and We{\ss}ling, Martin and Dudda, Marcel and Podleska,
		Lars E. and Fink, Matthias A. and Keyl, Julius and Tserpes, Konstantinos and
		Kim, Moon-Sung and Elhabian, Shireen and Lamecker, Hans and Zuki{\'c}, D{\v
		z}enan and Paniagua, Beatriz and Wachinger, Christian and Urschler, Martin
		and Duong, Luc and Wasserthal, Jakob and Hoyer, Peter F. and Basu, Oliver and
		Maal, Thomas and Witjes, Max J. H. and Schiele, Gregor and Chang, Ti-chiun
		and Ahmadi, Seyed-Ahmad and Luo, Ping and Menze, Bjoern and Reyes, Mauricio
		and Deserno, Thomas M. and Davatzikos, Christos and Puladi, Behrus and Fua,
		Pascal and Yuille, Alan L. and Kleesiek, Jens and Egger, Jan
	},
	year         = 2024,
	month        = dec,
	journal      = {Biomedical Engineering / Biomedizinische Technik},
	publisher    = {De Gruyter},
	doi          = {10.1515/bmt-2024-0396},
	issn         = {1862-278X},
	urldate      = {2025-01-09},
	langid       = {english},
	keywords     = {
		3D medical shapes,anatomy education,augmented
		reality,benchmark,shapeomics,virtual reality
	}
}

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