most citedRegression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation

26 citations · 36 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV202026 cited

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…

cs.CV20204 cited

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…

cs.CV20202 cited

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…

eess.IV20204 cited

Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images

Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka +7

This paper presents a visualization method of intestine (the small and large intestines) regions and their stenosed parts caused by ileus from CT volumes. Since it is difficult for…

eess.IV2019

Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams

Chenglong Wang, Holger R. Roth, Takayuki Kitasaka +7

This paper presents a new approach for precisely estimating the renal vascular dominant region using a Voronoi diagram. To provide computer-assisted diagnostics for the pre-surgica…