Hirohisa Oda

发表

Extracellular matrix directions estimation of the heart on micro-focus x-ray CT volumes

Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, 2017, Medical Imaging.

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

Hayato Itoh, Hirohisa Oda, Masahiro Oda, 2020, Medical Imaging.

Improving V-Nets for multi-class abdominal organ segmentation

Yuichiro Hayashi, Holger Roth, Chen Shen, 2019, Medical Imaging: Image Processing.

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks

Yuichiro Hayashi, Holger Roth, Hirohisa Oda, 2017, Medical Imaging.

A method of correcting distortion elektrolyysisiemenlevyjen

Hirohisa Oda, Masamichi Miyauchi, Akinori Miura, 1995 .

BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images

Holger Roth, Hirohisa Oda, Masahiro Oda, 2018, MICCAI.

Automated mediastinal lymph node detection from CT volumes based on intensity targeted radial structure tensor analysis

Shingo Iwano, Hirohisa Oda, Masahiro Oda, 2017, Journal of medical imaging.

Spaciousness Filters for Non-contrast CT Volume Segmentation of the Intestine Region for Emergency Ileus Diagnosis

Hayato Itoh, Hirohisa Oda, Takayuki Kitasaka, 2019, UNSURE/CLIP@MICCAI.

A deformable model for navigated laparoscopic gastrectomy based on finite elemental method

Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda, 2019, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset pdf

Tong Zheng, Hirohisa Oda, Masahiro Oda, 2020, ArXiv.

Lung segmentation based on a deep learning approach for dynamic chest radiography

Holger Roth, Hirohisa Oda, Kensaku Mori, 2019, Medical Imaging.

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images

Shingo Iwano, Holger Roth, Hirohisa Oda, 2018, Medical Imaging.

Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database

Hirohisa Oda, Masahiro Oda, Kensaku Mori, 2020, Medical Imaging: Image Processing.

Deep learning and its application to medical image segmentation pdf

Yuichiro Hayashi, Holger Roth, Chen Shen, 2018, ArXiv.

Synthetic laparoscopic video generation for machine learning-based surgical instrument segmentation from real laparoscopic video and virtual surgical instruments

Hirohisa Oda, Masahiro Oda, Takayuki Kitasaka, 2020 .

Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models

Hirohisa Oda, Kensaku Mori, Takayasu Moriya, 2019, MICCAI.

Cardiac fiber tracking on super high-resolution CT images: a comparative study

Tetsuya Yuasa, Hirohisa Oda, Masahiro Oda, 2020, Journal of medical imaging.

Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning

Holger Roth, Hirohisa Oda, Masahiro Oda, 2019, Medical Imaging.

Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT

Tetsuya Yuasa, Holger Roth, Hirohisa Oda, 2019, Medical Imaging.

Cascade Registration of Micro CT Volumes Taken in Multiple Resolutions

Daniel Rueckert, Hirohisa Oda, Masahiro Oda, 2016, MIAR.

Hierarchical 3D fully convolutional networks for multi-organ segmentation pdf

Yuichiro Hayashi, Holger Roth, Hirohisa Oda, 2017, ArXiv.

Unsupervised pathology image segmentation using representation learning with spherical k-means

Holger Roth, Hirohisa Oda, Masahiro Oda, 2018, Medical Imaging.

Investigation of extracting interlobular septa with Hessian analysis and radial structure tensor combined with roundness error in micro-CT volume

Hayato Itoh, Yuichiro Hayashi, Hirohisa Oda, 2019, Other Conferences.

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning

Holger Roth, Hirohisa Oda, Masahiro Oda, 2018, Medical Imaging.

Micro-CT Guided 3D Reconstruction of Histological Images

Holger Roth, Hirohisa Oda, Masahiro Oda, 2017, Patch-MI@MICCAI.

Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumes

Shingo Iwano, Hirohisa Oda, Masahiro Oda, 2016, SPIE Medical Imaging.

Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes

Shingo Iwano, Hirohisa Oda, Masahiro Oda, 2017, Medical Imaging.

A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation pdf

Yuichiro Hayashi, Holger Roth, Chen Shen, 2018, MICCAI.

TBS: Tensor-Based Supervoxels for Unfolding the Heart

Holger Roth, Hirohisa Oda, Masahiro Oda, 2017, MICCAI.

Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology pdf

Holger Roth, Hirohisa Oda, Masahiro Oda, 2017, ArXiv.

Dynamic chest radiography for pulmonary function diagnosis: A validation study using 4D extended cardiac-torso (XCAT) phantom

Ehsan Samei, Hirohisa Oda, Kensaku Mori, 2019, Medical Imaging.

1P1-B08 A robotics support of dexterous robot arms for experiments utilizing space exposed environment

Hirotaka Sawada, Hirohisa Oda, Mitsushige Oda, 2006 .

An application of cascaded 3D fully convolutional networks for medical image segmentation

Yuichiro Hayashi, Xiangrong Zhou, Holger Roth, 2018, Comput. Medical Imaging Graph..

On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks pdf

Yuichiro Hayashi, Holger Roth, Chen Shen, 2018, ArXiv.

Immersion defect performance and particle control method for 45nm mass production

Hirohisa Oda, Yoichi Matsuoka, Mikio Arakawa, 2008, SPIE Advanced Lithography.

Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network pdf

Andreas K. Maier, Holger Roth, Hirohisa Oda, 2017, ArXiv.

Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset

Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda, 2021, SASHIMI@MICCAI.

Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization

Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda, 2021, Medical Imaging.

An application of cascaded 3 D fully convolutional networks for medical image segmentation

Yuichiro Hayashi, Xiangrong Zhou, Hirohisa Oda, 2018 .