( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.

, , , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (8): 1259-1266 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Takahiro Kato

Takahiro Moriyama

Takahiro Kirihara

Takahiro Nishiyama

 

Другие публикации лиц с тем же именем

Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data., , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 19 (3): 581-590 (марта 2024)Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI., , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 16 (9): 1527-1536 (2021)Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging., , , , , , , , и . CoRR, (2024)Performance changes due to differences among annotating radiologists for training data in computerized lesion detection., , , , , , , , , и 8 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 19 (8): 1527-1536 (августа 2024)Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI., , , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (8): 1259-1266 (2019)Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization., , , , , , , , , и 2 other автор(ы). J. Supercomput., 76 (9): 7315-7332 (2020)