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Disambiguation of "Nakao, Takahiro"

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HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules.

, , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (12): 2095-2107 (2019)

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Takahiro Kato

Takahiro Moriyama

Takahiro Kirihara

Takahiro Nishiyama

 

Other publications of authors with the same name

Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (3): 581-590 (March 2024)HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (12): 2095-2107 (2019)Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (11): 1901-1913 (2021)Unsupervised Deep Anomaly Detection in Chest Radiographs., , , , , , , , , and . J. Digit. Imaging, 34 (2): 418-427 (2021)Versatile anomaly detection method for medical images with semi-supervised flow-based generative models., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (12): 2261-2267 (2021)Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (9): 1527-1536 (2021)Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers., , , , , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 262 (2021)Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (8): 1259-1266 (2019)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., , , , , , and . CoRR, (2021)Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method., , , , , , and . CoRR, (2020)