26 citations · 37 across the 7 of their papers we have counts for
8 papers · 1 filter
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…
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…
Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka +6
We propose an estimation method using a recurrent neural network (RNN) of the colon's shape where deformation was occurred by a colonoscope insertion. Colonoscope tracking or a nav…
Colonoscope tracking method based on shape estimation network
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka +5
This paper presents a colonoscope tracking method utilizing a colon shape estimation method. CT colonography is used as a less-invasive colon diagnosis method. If colonic polyps or…