Hirohisa Oda

Orcid: 0000-0003-0896-4333

According to our database1, Hirohisa Oda authored at least 38 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.
Int. J. Comput. Assist. Radiol. Surg., March, 2024

2023
L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

M U-Net: Intestine Segmentation Using Multi-dimensional Features for Ileus Diagnosis Assistance.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

2022
Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multi-class prediction for improving intestine segmentation on non-fecal-tagged CT volume.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Synthetic laparoscopic video generation for machine learning-based surgical instrument segmentation from real laparoscopic video and virtual surgical instruments.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Intestine Segmentation with Small Computational Cost for Diagnosis Assistance of Ileus and Intestinal Obstruction.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020
Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset.
CoRR, 2020

Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes.
CoRR, 2020

Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database.
CoRR, 2019

Improving V-Nets for multi-class abdominal organ segmentation.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Spaciousness Filters for Non-contrast CT Volume Segmentation of the Intestine Region for Emergency Ileus Diagnosis.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Lung segmentation based on a deep learning approach for dynamic chest radiography.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018
Deep learning and its application to medical image segmentation.
CoRR, 2018

On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.
CoRR, 2018

An application of cascaded 3D fully convolutional networks for medical image segmentation.
Comput. Medical Imaging Graph., 2018

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Unsupervised pathology image segmentation using representation learning with spherical k-means.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network.
CoRR, 2017

Hierarchical 3D fully convolutional networks for multi-organ segmentation.
CoRR, 2017

Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology.
CoRR, 2017

TBS: Tensor-Based Supervoxels for Unfolding the Heart.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Micro-CT Guided 3D Reconstruction of Histological Images.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Extracellular matrix directions estimation of the heart on micro-focus x-ray CT volumes.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016
Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumes.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Cascade Registration of Micro CT Volumes Taken in Multiple Resolutions.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016


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