Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hellena Hempe"'
Publikováno v:
Information, Vol 15, Iss 2, p 120 (2024)
Background: Degenerative spinal pathologies are highly prevalent among the elderly population. Timely diagnosis of osteoporotic fractures and other degenerative deformities enables proactive measures to mitigate the risk of severe back pain and disab
Externí odkaz:
https://doaj.org/article/81f3f8a8af0543e0964948d5d6a9f52d
Autor:
Lena Maier-Hein, Martin Wagner, Tobias Ross, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mindroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu D. Tizabi, Matthias Eisenmann, Tim J. Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, T. Y. Emmy Lai, Bünyamin Pekdemir, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Lars Mündermann, Martin Apitz, Annette Kopp-Schneider, Stefanie Speidel, Felix Nickel, Pascal Probst, Hannes G. Kenngott, Beat P. Müller-Stich
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021)
Measurement(s) colorectum Technology Type(s) Laparoscopy Factor Type(s) surgery type Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14178773
Externí odkaz:
https://doaj.org/article/95b1e0d797154b088b46630bd82a7201
Publikováno v:
Medical Imaging 2022: Image Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8de2eeeb6a5f07a12adb100c03aa4260
https://doi.org/10.1117/12.2612848
https://doi.org/10.1117/12.2612848
Autor:
Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich
Publikováno v:
Biomedical Image Registration ISBN: 9783031112027
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9247c9471e296c94e9b8c018f7465d2
https://doi.org/10.1007/978-3-031-11203-4_5
https://doi.org/10.1007/978-3-031-11203-4_5
Autor:
Hellena Hempe, Mattias P. Heinrich
Publikováno v:
Informatik aktuell ISBN: 9783658369316
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cf4285bc8e037d6e210f8f441fce62e
https://doi.org/10.1007/978-3-658-36932-3_4
https://doi.org/10.1007/978-3-658-36932-3_4
Autor:
Pablo Arbeláez, Annika Reinke, Sabrina Kletz, Yueming Jin, Zhen-Liang Ni, Fabian Isensee, Cristina González, Sebastian Bodenstedt, Pål Halvorsen, Lena Maier-Hein, Ruohua Shi, Beat P. Müller-Stich, Hannes Kenngott, Martin Wagner, Yan-Jie Zhou, Kadir Kirtac, Manuel Wiesenfarth, Stefanie Speidel, Stefan Leger, Zhixuan Li, Thuy Nuong Tran, Tingting Jiang, Peter M. Full, Klaus H. Maier-Hein, Patrick Scholz, Laura Bravo-Sánchez, Hua-Bin Chen, Yujie Zhang, Lei Zhu, Annette Kopp-Schneider, Zeng-Guang Hou, Diana Mindroc-Filimon, Liansheng Wang, Gutai Wang, Enes Hosgor, Hellena Hempe, Tobias Roß, Jon Lindström Bolmgren, Pierangela Bruno, Martin Apitz, Michael Riegler, Gui-Bin Bian, Lu Wang, Pheng-Ann Heng, Michael Stenzel, Klaus Schoeffmann, Debesh Jha, Dong Guo, Jiacheng Wang, Isabell Twick
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::015a53cfd5f5fa1877b58b11efc5bae6
https://hdl.handle.net/10037/24876
https://hdl.handle.net/10037/24876