28 citations · 103 across the 13 of their papers we have counts for
14 papers
Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)
Adam Schmidt, Mert Asim Karaoglu, Zijian Wu +32
Point tracking in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-based scanning…
OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025
Hanna Hoffmann, Setareh Bady, Claas de Boer +54
Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment holds significant potential to…
A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation
Zhou Zheng, Yuichiro Hayashi, Masahiro Oda +2
In this paper, we study weakly-supervised laparoscopic image segmentation with sparse annotations. We introduce a novel Bayesian deep learning approach designed to enhance both the…
Tracking accuracy evaluation of electromagnetic sensor-based colonoscope tracking method
Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka +6
This paper reports a detailed evaluation results of a colonoscope tracking method. A colonoscope tracking method utilizing electromagnetic sensors and a CT volume has been proposed…
Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi +9
CT image-based diagnosis of the stomach is developed as a new way of diagnostic method. A virtual unfolded (VU) view is suitable for displaying its wall. In this paper, we propose…
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation
Masahiro Oda, Natsuki Shimizu, Ken'ichi Karasawa +6
This paper proposes a fully automated atlas-based pancreas segmentation method from CT volumes utilizing atlas localization by regression forest and atlas generation using blood ve…