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Tomomi Takenaga
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2020 – today
- 2024
- [j8]Md. Ashraful Alam
, Shouhei Hanaoka
, Yukihiro Nomura
, Tomohiro Kikuchi
, Takahiro Nakao
, Tomomi Takenaga
, Naoto Hayashi
, Takeharu Yoshikawa
, Osamu Abe
:
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. 19(3): 581-590 (2024) - 2023
- [i3]Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Yukihiro Nomura, Harushi Mori, Takeharu Yoshikawa:
Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks. CoRR abs/2308.07573 (2023) - 2022
- [i2]Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. CoRR abs/2212.10688 (2022) - 2021
- [j7]Tomomi Takenaga
, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
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. 16(9): 1527-1536 (2021) - [j6]Yukihiro Nomura
, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Takeyuki Watadani, Naoto Hayashi, Osamu Abe:
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1901-1913 (2021) - [j5]Takahiro Nakao
, Shouhei Hanaoka, Yukihiro Nomura, Masaki Murata, Tomomi Takenaga, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Unsupervised Deep Anomaly Detection in Chest Radiographs. J. Digit. Imaging 34(2): 418-427 (2021) - [i1]Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Osamu Abe:
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 abs/2104.04179 (2021) - 2020
- [j4]Yukihiro Nomura
, Issei Sato, Toshihiro Hanawa, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Tetsuya Hoshino, Yuji Sekiya, Soichiro Miki
, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
:
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization. J. Supercomput. 76(9): 7315-7332 (2020)
2010 – 2019
- 2019
- [j3]Tomomi Takenaga
, Shouhei Hanaoka, Yukihiro Nomura
, Mitsutaka Nemoto, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
:
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. Int. J. Comput. Assist. Radiol. Surg. 14(8): 1259-1266 (2019) - [j2]Shouhei Hanaoka
, Yukihiro Nomura
, Tomomi Takenaga, Masaki Murata, Takahiro Nakao, Soichiro Miki
, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
, Akinobu Shimizu:
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. 14(12): 2095-2107 (2019) - 2018
- [c1]Daisuke Sato, Shouhei Hanaoka, Yukihiro Nomura
, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
:
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes. Medical Imaging: Computer-Aided Diagnosis 2018: 105751P - 2017
- [j1]Shouhei Hanaoka
, Yoshiyasu Nakano, Mitsutaka Nemoto, Yukihiro Nomura
, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Yoshitaka Masutani
, Akinobu Shimizu:
Automatic detection of vertebral number abnormalities in body CT images. Int. J. Comput. Assist. Radiol. Surg. 12(5): 719-732 (2017)
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last updated on 2024-04-24 23:22 CEST by the dblp team
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