%0 Conference Paper %1 conf/icip/ZengYSMGB23 %A Zeng, Chengxi %A Yang, Xinyu %A Smithard, David %A Mirmehdi, Majid %A Gambaruto, Alberto M. %A Burghardt, Tilo %B ICIP %D 2023 %I IEEE %K dblp %P 2470-2474 %T Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation. %U http://dblp.uni-trier.de/db/conf/icip/icip2023.html#ZengYSMGB23 %@ 978-1-7281-9835-4

@inproceedings{conf/icip/ZengYSMGB23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Zeng, Chengxi and Yang, Xinyu and Smithard, David and Mirmehdi, Majid and Gambaruto, Alberto M. and Burghardt, Tilo}, biburl = {https://www.bibsonomy.org/bibtex/2bb1065dba45c0578233a82185618d9d8/dblp}, booktitle = {ICIP}, crossref = {conf/icip/2023}, ee = {https://doi.org/10.1109/ICIP49359.2023.10222212}, interhash = {6858d825ee463c6be641edfe2a7e503e}, intrahash = {bb1065dba45c0578233a82185618d9d8}, isbn = {978-1-7281-9835-4}, keywords = {dblp}, pages = {2470-2474}, publisher = {IEEE}, timestamp = {2024-05-13T09:33:38.000+0200}, title = {Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation.}, url = {http://dblp.uni-trier.de/db/conf/icip/icip2023.html#ZengYSMGB23}, year = 2023 }