%0 Conference Paper %1 liebgott2021automated %A Liebgott, Annika %A Lorenz, Charlotte %A Gatidis, Sergios %A Vu, Viet Chau %A Nikolaou, Konstantin %A Yang, Bin %B ICASSP 2021 : 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %C Piscataway %D 2021 %I IEEE %K %P 1100-1104 %R 10.1109/ICASSP39728.2021.9414700 %T Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder %@ 978-1-7281-7605-5 and 978-1-7281-7606-2

@inproceedings{liebgott2021automated, added-at = {2023-08-31T16:27:50.000+0200}, address = {Piscataway}, affiliation = {Liebgott, A (Corresponding Author), Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany. Liebgott, A (Corresponding Author), Univ Hosp Tubingen, Dept Diagnost & Intervent Radiol, Tubingen, Germany. Liebgott, Annika; Lorenz, Charlotte; Yang, Bin, Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany. Liebgott, Annika; Gatidis, Sergios; Viet Chau Vu; Nikolaou, Konstantin, Univ Hosp Tubingen, Dept Diagnost & Intervent Radiol, Tubingen, Germany.}, author = {Liebgott, Annika and Lorenz, Charlotte and Gatidis, Sergios and Vu, Viet Chau and Nikolaou, Konstantin and Yang, Bin}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/251f51df6c1c27f9c0c5a713fcb8013ee/puma-wartung}, booktitle = {ICASSP 2021 : 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, doi = {10.1109/ICASSP39728.2021.9414700}, eventdate = {2021-06-06/2021-06-11}, eventtitle = {ICASSP 2021 : 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, interhash = {3742db959fc8aab9fef30862fd6f9d81}, intrahash = {51f51df6c1c27f9c0c5a713fcb8013ee}, isbn = {{978-1-7281-7605-5} and {978-1-7281-7606-2}}, keywords = {}, language = {eng}, pages = {1100-1104}, publisher = {IEEE}, research-areas = {Acoustics; Computer Science; Engineering; Imaging Science & Photographic Technology}, timestamp = {2023-08-31T14:27:50.000+0200}, title = {Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder}, unique-id = {WOS:000704288401078}, venue = {Online}, year = 2021 }