Zobrazeno 1 - 10
of 572
pro vyhledávání: '"Kunz Andreas"'
Autor:
Rudie, Jeffrey D., Lin, Hui-Ming, Ball, Robyn L., Jalal, Sabeena, Prevedello, Luciano M., Nicolaou, Savvas, Marinelli, Brett S., Flanders, Adam E., Magudia, Kirti, Shih, George, Davis, Melissa A., Mongan, John, Chang, Peter D., Berger, Ferco H., Hermans, Sebastiaan, Law, Meng, Richards, Tyler, Grunz, Jan-Peter, Kunz, Andreas Steven, Mathur, Shobhit, Galea-Soler, Sandro, Chung, Andrew D., Afat, Saif, Kuo, Chin-Chi, Aweidah, Layal, Campos, Ana Villanueva, Somasundaram, Arjuna, Tijmes, Felipe Antonio Sanchez, Jantarangkoon, Attaporn, Bittencourt, Leonardo Kayat, Brassil, Michael, Hajjami, Ayoub El, Dogan, Hakan, Becircic, Muris, Bharatkumar, Agrahara G., Farina, Eduardo Moreno Júdice de Mattos, Group, Dataset Curator, Group, Dataset Contributor, Group, Dataset Annotator, Colak, Errol
The RSNA Abdominal Traumatic Injury CT (RATIC) dataset is the largest publicly available collection of adult abdominal CT studies annotated for traumatic injuries. This dataset includes 4,274 studies from 23 institutions across 14 countries. The data
Externí odkaz:
http://arxiv.org/abs/2405.19595
Autor:
Huflage, Henner a, Hackenbroch, Carsten b, c, Schüle, Simone b, c, Kunz, Andreas Steven a, Gruschwitz, Philipp a, Razinskas, Gary d, Beer, Meinrad c, Bley, Thorsten Alexander a, Wech, Tobias a, Grunz, Jan-Peter a, e, ⁎
Publikováno v:
In Academic Radiology January 2025 32(1):518-525
Autor:
Pannenbecker, Pauline, Heidenreich, Julius F., Huflage, Henner, Gruschwitz, Philipp, Patzer, Theresa S., Weng, Andreas M., Grunz, Jan-Peter, Kunz, Andreas S., Bley, Thorsten A., Petritsch, Bernhard
Publikováno v:
In Academic Radiology December 2024 31(12):5280-5288
Autor:
Patzer, Theresa Sophie, Kunz, Andreas Steven, Huflage, Henner, Conrads, Nora, Luetkens, Karsten Sebastian, Pannenbecker, Pauline, Ergün, Süleyman, Herbst, Magdalena, Herold, Sophia, Weber, Thomas, Bley, Thorsten Alexander, Grunz, Jan-Peter
Publikováno v:
In Academic Radiology September 2024 31(9):3718-3724
We present Border-SegGCN, a novel architecture to improve semantic segmentation by refining the border outline using graph convolutional networks (GCN). The semantic segmentation network such as Unet or DeepLabV3+ is used as a base network to have pr
Externí odkaz:
http://arxiv.org/abs/2109.05353
Publikováno v:
Journal-ref: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition pages: 2150--2159 year: 2021
Scene graphs are nodes and edges consisting of objects and object-object relationships, respectively. Scene graph generation (SGG) aims to identify the objects and their relationships. We propose a bidirectional GRU (BiGRU) transformer network (BGT-N
Externí odkaz:
http://arxiv.org/abs/2109.05346
Autor:
Le, Khanh-Duy, Tran, Tanh Quang, Chlasta, Karol, Krejtz, Krzysztof, Fjeld, Morten, Kunz, Andreas
Publikováno v:
2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
Virtual Reality (VR) headsets can open opportunities for users to accomplish complex tasks on large virtual displays, using compact setups. However, interacting with large virtual displays using existing interaction techniques might cause fatigue, es
Externí odkaz:
http://arxiv.org/abs/2103.07964
Autor:
Conrads, Nora, Kunz, Andreas Steven, Huflage, Henner, Patzer, Theresa Sophie, Luetkens, Karsten Sebastian, Ergün, Süleyman, Herbst, Magdalena, Herold, Sophia, Weber, Thomas, Bley, Thorsten Alexander, Grunz, Jan -Peter
Publikováno v:
In Academic Radiology April 2024 31(4):1472-1479
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