activity
20172026
most citedAn application of cascaded 3D fully convolutional networks for medical image segmentation

332 citations · 702 across the 40 of their papers we have counts for

collaborators
Showing 2020 · cs.CVShow all

5 papers · 2 filters

cs.CV2020★ 26 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.CV2020★ 6 cited

Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique

Masahiro Oda, Takefumi Yamaguchi, Hideki Fukuoka +2

This paper presents an automated classification method of infective and non-infective diseases from anterior eye images. Treatments for cases of infective and non-infective disease…

cs.CV2020★ 4 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.CV2020★ 2 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…

cs.CV2020★ 1 cited

Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes

Tong ZHENG, Hirohisa ODA, Takayasu MORIYA +7

This paper presents a super-resolution (SR) method with unpaired training dataset of clinical CT and micro CT volumes. For obtaining very detailed information such as cancer invasi…