Toshiaki Akashi

According to our database1, Toshiaki Akashi authored at least 11 papers between 2021 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Attention induction for a CT volume classification of COVID-19.
Int. J. Comput. Assist. Radiol. Surg., February, 2023

Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping.
CoRR, 2023

Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection.
Int. J. Comput. Assist. Radiol. Surg., 2022

Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Lung infection and normal region segmentation from CT volumes of COVID-19 cases.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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


  Loading...