Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Benjamin Busam"'
Publikováno v:
International Journal of Computer Vision. 131:796-812
Depth completion aims to predict a dense depth map from a sparse depth input. The acquisition of dense ground truth annotations for depth completion settings can be difficult and, at the same time, a significant domain gap between real LiDAR measurem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5385d58e6c57d7913030df26313ecaa
https://doi.org/10.1007/s11263-022-01726-1
https://doi.org/10.1007/s11263-022-01726-1
Autor:
Lennart Bastian, Tobias Czempiel, Christian Heiliger, Konrad Karcz, Ulrich Eck, Benjamin Busam, Nassir Navab
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. :1-9
The surgical operating room (OR) presents many opportunities for automation and optimization. Videos from various sources in the OR are becoming increasingly available. The medical community seeks to leverage this wealth of data to develop automated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5493ef22f4c8b453399967a549739d79
https://doi.org/10.1080/21681163.2022.2152377
https://doi.org/10.1080/21681163.2022.2152377
Autor:
Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang
Publikováno v:
IEEE Robotics and Automation Letters. 7:8941-8948
In this paper, we introduce DA$^2$, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects. The dataset contains about 9M pairs of parallel-jaw grasps, generated from m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dca3db97138d301d1f4e8f984184119e
https://doi.org/10.1109/lra.2022.3189959
https://doi.org/10.1109/lra.2022.3189959
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
Purpose Recent advances in Surgical Data Science (SDS) have contributed to an increase in video recordings from hospital environments. While methods such as surgical workflow recognition show potential in increasing the quality of patient care, the q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1646ca8f115400f6a441f940028d4139
https://doi.org/10.1007/s11548-023-02939-6
https://doi.org/10.1007/s11548-023-02939-6
Autor:
Viviana Sutedjo, Maria Tirindelli, Christine Eilers, Walter Simson, Benjamin Busam, Nassir Navab
Publikováno v:
IEEE Robotics and Automation Letters. 7:1808-1815
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e630ecbf4d1ab9562f99f18a337994e
https://doi.org/10.1109/lra.2022.3141451
https://doi.org/10.1109/lra.2022.3141451
Publikováno v:
IEEE Robotics and Automation Letters. 7:3703-3710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c6bd35ce809327b6a75c6903cce9349
https://doi.org/10.1109/lra.2022.3146924
https://doi.org/10.1109/lra.2022.3146924
Autor:
Federico Tombari, Benjamin Busam, Nassir Navab, Jan Haug, Alvaro Marcos-Ramiro, Stefano Gasperini, Mohammad-Ali Nikouei Mahani
Publikováno v:
IEEE Robotics and Automation Letters. 7:698-705
Estimating the uncertainty of a neural network plays a fundamental role in safety-critical settings. In perception for autonomous driving, measuring the uncertainty means providing additional calibrated information to downstream tasks, such as path p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e9a8db2a45a6d059a08b8f91a79d9c3
https://doi.org/10.1109/lra.2021.3130976
https://doi.org/10.1109/lra.2021.3130976
Publikováno v:
IEEE Robotics and Automation Letters. 7:3342-3348
In nuclear medicine, radioiodine therapy is prescribed to treat diseases like hyperthyroidism. The calculation of the prescribed dose depends, amongst other factors, on the thyroid volume. This is currently estimated using conventional 2D ultrasound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a95ee913e229a34a797ccc7dcb7971e
https://doi.org/10.1109/lra.2022.3146542
https://doi.org/10.1109/lra.2022.3146542
Purpose: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a9663dc7885dbd6f6bccd831819bcf0
http://arxiv.org/abs/2302.06208
http://arxiv.org/abs/2302.06208
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 8, NO. 3, MARCH 2023
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f63092a77f3a2e812e3eb8d3bed743d