Takahiro Nakao
Orcid: 0000-0001-9498-7501
According to our database1,
Takahiro Nakao
authored at least 12 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
2023
Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks.
CoRR, 2023
2021
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
BMC Medical Informatics Decis. Mak., 2021
X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model.
CoRR, 2021
Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI.
Int. J. Comput. Assist. Radiol. Surg., 2021
Versatile anomaly detection method for medical images with semi-supervised flow-based generative models.
Int. J. Comput. Assist. Radiol. Surg., 2021
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.
Int. J. Comput. Assist. Radiol. Surg., 2021
2020
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.
J. Supercomput., 2020
Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method.
CoRR, 2020
2019
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.
Int. J. Comput. Assist. Radiol. Surg., 2019
HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules.
Int. J. Comput. Assist. Radiol. Surg., 2019