Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Killeen, Benjamin"'
Autor:
Killeen, Benjamin D., Wang, Liam J., Zhang, Han, Armand, Mehran, Taylor, Russell H., Dreizin, Dave, Osgood, Greg, Unberath, Mathias
Automated X-ray image segmentation would accelerate research and development in diagnostic and interventional precision medicine. Prior efforts have contributed task-specific models capable of solving specific image analysis problems, but the utility
Externí odkaz:
http://arxiv.org/abs/2403.08059
Autor:
Killeen, Benjamin D., Zhang, Han, Mangulabnan, Jan, Armand, Mehran, Taylor, Russel H., Osgood, Greg, Unberath, Mathias
Surgical phase recognition (SPR) is a crucial element in the digital transformation of the modern operating theater. While SPR based on video sources is well-established, incorporation of interventional X-ray sequences has not yet been explored. This
Externí odkaz:
http://arxiv.org/abs/2304.09285
Autor:
Gao, Cong, Killeen, Benjamin D., Hu, Yicheng, Grupp, Robert B., Taylor, Russell H., Armand, Mehran, Unberath, Mathias
Artificial intelligence (AI) now enables automated interpretation of medical images for clinical use. However, AI's potential use for interventional images (versus those involved in triage or diagnosis), such as for guidance during surgery, remains l
Externí odkaz:
http://arxiv.org/abs/2206.06127
Autor:
Killeen, Benjamin D., Wu, Jie Ying, Shah, Kinjal, Zapaishchykova, Anna, Nikutta, Philipp, Tamhane, Aniruddha, Chakraborty, Shreya, Wei, Jinchi, Gao, Tiger, Thies, Mareike, Unberath, Mathias
As the coronavirus disease 2019 (COVID-19) continues to be a global pandemic, policy makers have enacted and reversed non-pharmaceutical interventions with various levels of restrictions to limit its spread. Data driven approaches that analyze tempor
Externí odkaz:
http://arxiv.org/abs/2004.00756
Autor:
Gao, Cong, Liu, Xingtong, Gu, Wenhao, Killeen, Benjamin, Armand, Mehran, Taylor, Russell, Unberath, Mathias
Differentiable rendering is a technique to connect 3D scenes with corresponding 2D images. Since it is differentiable, processes during image formation can be learned. Previous approaches to differentiable rendering focus on mesh-based representation
Externí odkaz:
http://arxiv.org/abs/2003.10987
Autor:
Liu, Xingtong, Zheng, Yiping, Killeen, Benjamin, Ishii, Masaru, Hager, Gregory D., Taylor, Russell H., Unberath, Mathias
High-quality 3D reconstructions from endoscopy video play an important role in many clinical applications, including surgical navigation where they enable direct video-CT registration. While many methods exist for general multi-view 3D reconstruction
Externí odkaz:
http://arxiv.org/abs/2003.00619
Autor:
Hundt, Andrew, Killeen, Benjamin, Greene, Nicholas, Wu, Hongtao, Kwon, Heeyeon, Paxton, Chris, Hager, Gregory D.
Current Reinforcement Learning (RL) algorithms struggle with long-horizon tasks where time can be wasted exploring dead ends and task progress may be easily reversed. We develop the SPOT framework, which explores within action safety zones, learns ab
Externí odkaz:
http://arxiv.org/abs/1909.11730
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.