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of 21
pro vyhledávání: '"Kirszenberg, A"'
Integrating mathematical morphology operations within deep neural networks has been subject to increasing attention lately. However, replacing standard convolution layers with erosions or dilations is particularly challenging because the min and max
Externí odkaz:
http://arxiv.org/abs/2102.10038
Autor:
Sekuboyina, Anjany, Husseini, Malek E., Bayat, Amirhossein, Löffler, Maximilian, Liebl, Hans, Li, Hongwei, Tetteh, Giles, Kukačka, Jan, Payer, Christian, Štern, Darko, Urschler, Martin, Chen, Maodong, Cheng, Dalong, Lessmann, Nikolas, Hu, Yujin, Wang, Tianfu, Yang, Dong, Xu, Daguang, Ambellan, Felix, Amiranashvili, Tamaz, Ehlke, Moritz, Lamecker, Hans, Lehnert, Sebastian, Lirio, Marilia, de Olaguer, Nicolás Pérez, Ramm, Heiko, Sahu, Manish, Tack, Alexander, Zachow, Stefan, Jiang, Tao, Ma, Xinjun, Angerman, Christoph, Wang, Xin, Brown, Kevin, Kirszenberg, Alexandre, Puybareau, Élodie, Chen, Di, Bai, Yiwei, Rapazzo, Brandon H., Yeah, Timyoas, Zhang, Amber, Xu, Shangliang, Hou, Feng, He, Zhiqiang, Zeng, Chan, Xiangshang, Zheng, Liming, Xu, Netherton, Tucker J., Mumme, Raymond P., Court, Laurence E., Huang, Zixun, He, Chenhang, Wang, Li-Wen, Ling, Sai Ho, Huynh, Lê Duy, Boutry, Nicolas, Jakubicek, Roman, Chmelik, Jiri, Mulay, Supriti, Sivaprakasam, Mohanasankar, Paetzold, Johannes C., Shit, Suprosanna, Ezhov, Ivan, Wiestler, Benedikt, Glocker, Ben, Valentinitsch, Alexander, Rempfler, Markus, Menze, Björn H., Kirschke, Jan S.
Publikováno v:
Medical Image Analysis, Volume 73, October 2021, 102166
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit clinical decision-support systems for diagnosis, surgery planning, and p
Externí odkaz:
http://arxiv.org/abs/2001.09193
Autor:
Sekuboyina, Anjany, Husseini, Malek E., Bayat, Amirhossein, Löffler, Maximilian, Liebl, Hans, Li, Hongwei, Tetteh, Giles, Kukačka, Jan, Payer, Christian, Štern, Darko, Urschler, Martin, Chen, Maodong, Cheng, Dalong, Lessmann, Nikolas, Hu, Yujin, Wang, Tianfu, Yang, Dong, Xu, Daguang, Ambellan, Felix, Amiranashvili, Tamaz, Ehlke, Moritz, Lamecker, Hans, Lehnert, Sebastian, Lirio, Marilia, Olaguer, Nicolás Pérez de, Ramm, Heiko, Sahu, Manish, Tack, Alexander, Zachow, Stefan, Jiang, Tao, Ma, Xinjun, Angerman, Christoph, Wang, Xin, Brown, Kevin, Kirszenberg, Alexandre, Puybareau, Élodie, Chen, Di, Bai, Yiwei, Rapazzo, Brandon H., Yeah, Timyoas, Zhang, Amber, Xu, Shangliang, Hou, Feng, He, Zhiqiang, Zeng, Chan, Xiangshang, Zheng, Liming, Xu, Netherton, Tucker J., Mumme, Raymond P., Court, Laurence E., Huang, Zixun, He, Chenhang, Wang, Li-Wen, Ling, Sai Ho, Huỳnh, Lê Duy, Boutry, Nicolas, Jakubicek, Roman, Chmelik, Jiri, Mulay, Supriti, Sivaprakasam, Mohanasankar, Paetzold, Johannes C., Shit, Suprosanna, Ezhov, Ivan, Wiestler, Benedikt, Glocker, Ben, Valentinitsch, Alexander, Rempfler, Markus, Menze, Björn H., Kirschke, Jan S.
Publikováno v:
In Medical Image Analysis October 2021 73
Publikováno v:
International Journal on Software Tools for Technology Transfer. 25:77-94
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b038338fe06f40bf7d44c8d348bada6c
https://doi.org/10.1007/s10009-022-00692-w
https://doi.org/10.1007/s10009-022-00692-w
Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
Autor:
Sekuboyina, A, Husseini, ME, Bayat, A, Löffler, M, Liebl, H, Li, H, Tetteh, G, Kukačka, J, Payer, C, Štern, D, Urschler, M, Chen, M, Cheng, D, Lessmann, N, Hu, Y, Wang, T, Yang, D, Xu, D, Ambellan, F, Amiranashvili, T, Ehlke, M, Lamecker, H, Lehnert, S, Lirio, M, Olaguer, NPD, Ramm, H, Sahu, M, Tack, A, Zachow, S, Jiang, T, Ma, X, Angerman, C, Wang, X, Brown, K, Wolf, M, Kirszenberg, A, Puybareau, É, Chen, D, Bai, Y, Rapazzo, BH, Yeah, T, Zhang, A, Xu, S, Hou, F, He, Z, Zeng, C, Xiangshang, Z, Liming, X, Netherton, TJ, Mumme, RP, Court, LE, Huang, Z, He, C, Wang, L-W, Ling, SH, Huynh, LD, Boutry, N, Jakubicek, R, Chmelik, J, Mulay, S, Sivaprakasam, M, Paetzold, JC, Shit, S, Ezhov, I, Wiestler, B, Glocker, B, Valentinitsch, A, Rempfler, M, Menze, BH, Kirschke, JS
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit clinical decision-support systems for diagnosis, surgery planning, and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::0c553dbf00d834946329e340e6bbd1f3
http://hdl.handle.net/10044/1/87702
http://hdl.handle.net/10044/1/87702
Autor:
Mohanasankar Sivaprakasam, Timyoas Yeah, Tao Jiang, Xin Wang, Dalong Cheng, Manish Sahu, Maodong Chen, Sebastian Lehnert, Alexander Valentinitsch, Dong Yang, Nicolas Boutry, Shangliang Xu, Johannes C. Paetzold, Alexander Tack, Yujin Hu, Kevin W. Brown, Marilia Lirio, Malek El Husseini, Xu Liming, Darko Štern, Nikolas Lessmann, Suprosanna Shit, Tianfu Wang, Alexandre Kirszenberg, Martin Urschler, Daguang Xu, Feng Hou, Laurence E. Court, Raymond P. Mumme, Maximilian T. Löffler, Sai Ho Ling, Stefan Zachow, Zheng Xiangshang, Markus Rempfler, Yiwei Bai, Elodie Puybareau, Li-Wen Wang, Nicolás Pérez de Olaguer, Moritz Ehlke, Tamaz Amiranashvili, Di Chen, Christoph Angerman, Chan Zeng, Zixun Huang, Jiri Chmelik, Giles Tetteh, Hongwei Li, Jan S. Kirschke, Heiko Ramm, Amirhossein Bayat, Björn H. Menze, Ivan Ezhov, Jan Kukačka, Anjany Sekuboyina, Chenhang He, Ben Glocker, Tucker Netherton, Hans Liebl, Zhiqiang He, Roman Jakubicek, Christian Payer, Felix Ambellan, Supriti Mulay, Lê Duy Huỳnh, Brandon H. Rapazzo, Xinjun Ma, Amber Zhang, Hans Lamecker, Benedikt Wiestler
Publikováno v:
Med. Image Anal. 73:102166 (2021)
Medical Image Analysis, 73
Medical Image Analysis, 73
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit clinical decision-support systems for diagnosis, surgery planning, and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e4597e82cc93563d7ce7d43efb18451
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=62736
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=62736
Publikováno v:
Model Checking Software ISBN: 9783030846282
SPIN
SPIN
We introduce Go2Pins, a tool that takes a program written in Go and links it with two model-checkers: LTSMin [19] and Spot [7]. Go2Pins is an effort to promote the integration of both formal verification and testing inside industrial-size projects. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d0d3162e0a20557cc26cdb26e50e33
https://doi.org/10.1007/978-3-030-84629-9_8
https://doi.org/10.1007/978-3-030-84629-9_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM
DGMM
Integrating mathematical morphology operations within deep neural networks has been subject to increasing attention lately. However, replacing standard convolution layers with erosions or dilations is particularly challenging because the \(\min \) an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5d405016cb37f539091b675a0dbd483
https://doi.org/10.1007/978-3-030-76657-3_34
https://doi.org/10.1007/978-3-030-76657-3_34