@article{UBHD-68872953, author={Deckert, Andreas and Anders, Simon and De Allegri, Manuela and Nguyen, Hoa Thi and Souares-Coutant, Aurélia and McMahon-R{\"o}ssle, Shannon A. and Meurer, Matthias and Burk, Robin and Sand, Matthias and K{\"o}ppel, Lisa and Maier-Hein, Lena and Roß, Tobias and Adler, Tim and Siems, Tobias and Brugnara, Lucia and Brenner, Stephan and Herbst, Konrad and Kirrmaier, Daniel and Duan, Yuanqiang and Ovchinnikova, Svetlana and B{\"o}rner, Kathleen and Marx, Michael and Kr{\"a}usslich, Hans-Georg and Knop, Michael and B{\"a}rnighausen, Till and Denkinger, Claudia M.}, title={Effectiveness and cost-effectiveness of four different strategies for SARS-CoV-2 surveillance in the general population (CoV-Surv Study)}, subtitle={study protocol for a two-factorial randomized controlled multi-arm trial with cluster sampling}, year={2021}, pages={1-9}, language={eng}, issn={1468-6694 and 1745-6215}, volume={22}, number={Artikel-ID 656}, note={Gesehen am 01.02.2022}, journal={Trials}, doi={10.1186/s13063-021-05619-5}, url={https://doi.org/10.1186/s13063-021-05619-5}, library={UB}, } @article{UBHD-68748697, author={Maier-Hein, Lena and Wagner, Martin and Roß, Tobias and Reinke, Annika and Bodenstedt, Sebastian and Full, Peter M. and Hempe, Hellena and Mindroc-Filimon, Diana and Scholz, Patrick and Tran, Thuy Nuong and Bruno, Pierangela and Kisilenko, Anna and M{\"u}ller, Benjamin and Davitashvili, Tornike and Capek, Manuela and Tizabi, Minu and Eisenmann, Matthias and Adler, Tim and Gr{\"o}hl, Janek and Schellenberg, Melanie and Seidlitz, Silvia and Lai, T. Y. Emmy and Pekdemir, B{\"u}nyamin and Roethlingshoefer, Veith and Both, Fabian and Bittel, Sebastian and Mengler, Marc and M{\"u}ndermann, Lars and Apitz, Martin and Kopp-Schneider, Annette and Speidel, Stefanie and Nickel, Felix and Probst, Pascal and Kenngott, Hannes G{\"o}tz and M{\"u}ller, Beat P.}, title={Heidelberg colorectal data set for surgical data science in the sensor operating room}, year={2021}, pages={1-11}, language={eng}, issn={2052-4463}, volume={8}, number={Artikel-ID 101}, note={Gesehen am 15.06.2021}, journal={Scientific data}, doi={10.1038/s41597-021-00882-2}, } @article{UBHD-68771323, author={Roß, Tobias and Reinke, Annika and Full, Peter M. and Wagner, Martin and Kenngott, Hannes G{\"o}tz and Apitz, Martin and Hempe, Hellena and Mindroc-Filimon, Diana and Scholz, Patrick and Tran, Thuy Nuong and Bruno, Pierangela and Arbeláez, Pablo and Bian, Gui-Bin and Bodenstedt, Sebastian and Bolmgren, Jon Lindstr{\"o}m and Bravo-Sánchez, Laura and Chen, Hua-Bin and González, Cristina and Guo, Dong and Halvorsen, Pål and Heng, Pheng-Ann and Hosgor, Enes and Hou, Zeng-Guang and Isensee, Fabian and Jha, Debesh and Jiang, Tingting and Jin, Yueming and Kirtac, Kadir and Kletz, Sabrina and Leger, Stefan and Li, Zhixuan and Maier-Hein, Klaus H. and Ni, Zhen-Liang and Riegler, Michael A. and Schoeffmann, Klaus and Shi, Ruohua and Speidel, Stefanie and Stenzel, Michael and Twick, Isabell and Wang, Gutai and Wang, Jiacheng and Wang, Liansheng and Wang, Lu and Zhang, Yujie and Zhou, Yan-Jie and Zhu, Lei and Wiesenfarth, Manuel and Kopp-Schneider, Annette and M{\"u}ller, Beat P. and Maier-Hein, Lena}, title={Comparative validation of multi-instance instrument segmentation in endoscopy}, subtitle={results of the ROBUST-MIS 2019 challenge}, year={2021}, pages={1-26}, language={eng}, issn={1361-8423}, volume={70}, number={Artikel-ID 101920}, note={Available online 28 November 2020 ; Gesehen am 17.08.2021}, journal={Medical image analysis}, doi={10.1016/j.media.2020.101920}, } @book{UBHD-68884047, author={Roß, Tobias}, title={Surgical data science in endoscopic surgery}, address={Heidelberg}, year={2022}, pages={1 Online-Ressource (147 Seiten)}, language={eng}, school={Dissertation, Ruprecht-Karls-Universit{\"a}t, 2021}, doi={10.11588/heidok.00030928}, keywords={Medizinische Informatik / Deep Learning / Minimal-invasive Chirurgie}, url={https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-309287}, library={UB}, } @book{UBHD-68894171, author={Roß, Tobias}, organization={Universit{\"a}t Heidelberg}, title={Surgical data science in endoscopic surgery}, address={Heidelberg}, year={2020}, pages={143 Seiten}, language={ger}, school={Dissertation, Ruprecht-Karls-Universit{\"a}t Heidelberg, 2021}, keywords={Medizinische Informatik / Deep Learning / Minimal-invasive Chirurgie}, library={UB [Signatur: 2022 U 281]}, }