Zobrazeno 1 - 10
of 482
pro vyhledávání: '"Unberath, Mathias"'
Autor:
Shen, Yiqing, Li, Jingxing, Shao, Xinyuan, Romillo, Blanca Inigo, Jindal, Ankush, Dreizin, David, Unberath, Mathias
Segment anything models (SAMs) are gaining attention for their zero-shot generalization capability in segmenting objects of unseen classes and in unseen domains when properly prompted. Interactivity is a key strength of SAMs, allowing users to iterat
Externí odkaz:
http://arxiv.org/abs/2403.09827
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
Purpose: Accurate tool segmentation is essential in computer-aided procedures. However, this task conveys challenges due to artifacts' presence and the limited training data in medical scenarios. Methods that generalize to unseen data represent an in
Externí odkaz:
http://arxiv.org/abs/2402.17972
Autor:
Mangulabnan, Jan Emily, Soberanis-Mukul, Roger D., Teufel, Timo, Sahu, Manish, Porras, Jose L., Vedula, S. Swaroop, Ishii, Masaru, Hager, Gregory, Taylor, Russell H., Unberath, Mathias
Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to complement endoscopy imaging. However, surgery elicits anatomical change
Externí odkaz:
http://arxiv.org/abs/2402.11840
Leveraging Artificial Intelligence (AI) in decision support systems has disproportionately focused on technological advancements, often overlooking the alignment between algorithmic outputs and human expectations. A human-centered perspective attempt
Externí odkaz:
http://arxiv.org/abs/2310.19778
Autor:
Mangulabnan, Jan Emily, Soberanis-Mukul, Roger D., Teufel, Timo, Hernández, Isabela, Winter, Jonas, Sahu, Manish, Porras, Jose L., Vedula, S. Swaroop, Ishii, Masaru, Hager, Gregory, Taylor, Russell H., Unberath, Mathias
Generating accurate 3D reconstructions from endoscopic video is a promising avenue for longitudinal radiation-free analysis of sinus anatomy and surgical outcomes. Several methods for monocular reconstruction have been proposed, yielding visually ple
Externí odkaz:
http://arxiv.org/abs/2310.14364
Autor:
Büter, Regine, Soberanis-Mukul, Roger D., Puentes, Paola Ruiz, Ghazi, Ahmed, Wu, Jie Ying, Unberath, Mathias
Purpose: Metrics derived from eye-gaze-tracking and pupillometry show promise for cognitive load assessment, potentially enhancing training and patient safety through user-specific feedback in tele-robotic surgery. However, current eye-tracking solut
Externí odkaz:
http://arxiv.org/abs/2310.13720
Autor:
Drenkow, Nathan, Unberath, Mathias
Object-centric representation learning offers the potential to overcome limitations of image-level representations by explicitly parsing image scenes into their constituent components. While image-level representations typically lack robustness to na
Externí odkaz:
http://arxiv.org/abs/2308.14899
Nuclei appear small in size, yet, in real clinical practice, the global spatial information and correlation of the color or brightness contrast between nuclei and background, have been considered a crucial component for accurate nuclei segmentation.
Externí odkaz:
http://arxiv.org/abs/2307.08051
Autor:
Feng, Anqi, Johnson, Dimitri, Reilly, Grace R., Thangamathesvaran, Loka, Nampomba, Ann, Unberath, Mathias, Scott, Adrienne W., Jones, Craig
Importance: Ultra-widefield fundus photography (UWF-FP) has shown utility in sickle cell retinopathy screening; however, image artifact may diminish quality and gradeability of images. Objective: To create an automated algorithm for UWF-FP artifact c
Externí odkaz:
http://arxiv.org/abs/2307.05780