b'Masahiro Oda'

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Featured Co-authors

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318 publications
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199 publications
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65 publications
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63 publications
Chenglong Wang
47 publications
Holger R. Roth
40 publications
Kensaku Mori
34 publications
Holger Roth
29 publications
Chen Shen
25 publications
Yoshito Otake
19 publications
Ying Yang
18 publications

research

∙ 08/08/2023

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

Developing a generalized segmentation model capable of simultaneously de...

0 Pochuan Wang, et al. ∙

research

∙ 03/27/2023

Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping

This paper presents a fully-automated method for the identification of s...

0 Ryo Toda, et al. ∙

research

∙ 02/02/2023

KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation

We propose a spatio-temporal mixing kinematic data estimation method to ...

0 Masahiro Oda, et al. ∙

research

∙ 01/14/2022

Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes

CT image-based diagnosis of the stomach is developed as a new way of dia...

6 Masahiro Oda, et al. ∙

research

∙ 01/13/2022

Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation

This paper proposes a realistic image generation method for visualizatio...

9 Masahiro Oda, et al. ∙

research

∙ 01/12/2022

Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation

We propose a depth estimation method from a single-shot monocular endosc...

16 Masahiro Oda, et al. ∙

research

∙ 01/09/2022

COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty

This paper proposes a segmentation method of infection regions in the lu...

17 Masahiro Oda, et al. ∙

research

∙ 01/09/2022

Lung infection and normal region segmentation from CT volumes of COVID-19 cases

This paper proposes an automated segmentation method of infection and no...

10 Masahiro Oda, et al. ∙

research

∙ 08/19/2021

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

Federated learning (FL) for medical image segmentation becomes more chal...

0 Chen Shen, et al. ∙

research

∙ 10/20/2020

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

This paper proposes a novel, unsupervised super-resolution (SR) approach...

0 Tong Zheng, et al. ∙

research

∙ 09/28/2020

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

The performance of deep learning-based methods strongly relies on the nu...

71 Pochuan Wang, et al. ∙

research

∙ 05/07/2020

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

This paper proposes a fully automated atlas-based pancreas segmentation ...

6 Masahiro Oda, et al. ∙

research

∙ 05/04/2020

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

This paper presents an automated classification method of infective and ...

0 Masahiro Oda, et al. ∙

research

∙ 04/20/2020

Colonoscope tracking method based on shape estimation network

This paper presents a colonoscope tracking method utilizing a colon shap...

9 Masahiro Oda, et al. ∙

research

∙ 04/07/2020

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

This paper presents a super-resolution (SR) method with unpaired trainin...

0 Tong Zheng, et al. ∙

research

∙ 03/24/2020

Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN

In this work, we present a memory-efficient fully convolutional network ...

0 Chenglong Wang, et al. ∙

research

∙ 03/03/2020

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

This paper presents a visualization method of intestine (the small and l...

0 Hirohisa Oda, et al. ∙

research

∙ 12/30/2019

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

This paper newly introduces multi-modality loss function for GAN-based s...

61 Tong Zheng, et al. ∙

research

∙ 08/05/2019

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

This paper presents a new approach for precisely estimating the renal va...

3 Chenglong Wang, et al. ∙

research

∙ 06/08/2018

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation

This paper presents a fully automated atlas-based pancreas segmentation ...

8 Masahiro Oda, et al. ∙

research

∙ 06/08/2018

Machine learning-based colon deformation estimation method for colonoscope tracking

This paper presents a colon deformation estimation method, which can be ...

0 Masahiro Oda, et al. ∙

research

∙ 06/06/2018

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

Recent advances in deep learning, like 3D fully convolutional networks (...

0 Holger R. Roth, et al. ∙

research

∙ 04/11/2018

Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning

This paper presents a novel unsupervised segmentation method for 3D medi...

0 Takayasu Moriya, et al. ∙

research

∙ 04/11/2018

Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means

This paper presents a novel method for unsupervised segmentation of path...

0 Takayasu Moriya, et al. ∙

research

∙ 03/23/2018

Deep learning and its application to medical image segmentation

One of the most common tasks in medical imaging is semantic segmentation...

0 Holger R. Roth, et al. ∙

research

∙ 03/14/2018

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

Recent advances in 3D fully convolutional networks (FCN) have made it fe...

0 Holger R. Roth, et al. ∙

research

∙ 01/18/2018

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

Deep learning-based methods achieved impressive results for the segmenta...

0 Chen Shen, et al. ∙

research

∙ 11/17/2017

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

Pancreas segmentation in computed tomography imaging has been historical...

0 Holger Roth, et al. ∙

research

∙ 03/15/2017

Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project

This paper presents an end-to-end pixelwise fully automated segmentation...

0 Mohammad Eshghi, et al. ∙

research

∙ 02/27/2017

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

Computational anatomy allows the quantitative analysis of organs in medi...

0 Holger R. Roth, et al. ∙

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