Toshiaki Akashi
According to our database1,
Toshiaki Akashi
authored at least 11 papers
between 2021 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
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
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
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