引用次数
引用: 1,993
H-指数: 21
I10-指数 : 35
出版物: 120
Two autopsy cases of primary pituitary carcinoma
Masuda Y , Ohama E , Negishi K , Masugi Y
Nō to shinkei Brain and nerve 40 ( 5) 491
5
1988
Automated Classification of Pulmonary Nodules through a Retrospective Analysis of Conventional CT and Two-phase PET Images in Patients Undergoing Biopsy.
Hiroshi Fujita , Hiroshi Toyama , Atsushi Teramoto , Tetsuya Tsukamoto
Asia Oceania journal of nuclear medicine & biology 7 ( 1) 29 -37
19
2019
Application of Artificial Intelligence in Radiology
Atsushi Teramoto
Gan to kagaku ryoho. Cancer & chemotherapy 46 ( 3) 418 -422
2019
Generation of Pseudo Chest X-ray Images from Computed Tomographic Images by Nonlinear Transformation and Bone Enhancement
Hiroshi Fujita , Atsushi Teramoto , Kuniaki Saito , Naoki Matsubara
Medical Imaging and Information Sciences 36 ( 3) 141 -146
1
2019
[A complementary scheme for automated detection of high-uptake regions on dedicated breast PET and whole-body PET/CT].
Hiroshi Fujita , Atsushi Teramoto , Masami Nishio , Kuniaki Saito
Japanese journal of medical physics : an official journal of Japan Society of Medical Physics 40 ( 3) 108 -108
2020
Unsupervised Dynamic PET Image Denoising with Anatomical Information
Hiroyuki Ohba , Atsushi Teramoto , Fumio Hashimoto , Fumio Hashimoto
Medical Imaging and Information Sciences 37 ( 3) 58 -61
1
2020
Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification
Hiroshi Fujita , Hiroshi Toyama , Atsushi Teramoto , Kazuyoshi Imaizumi
International Journal of Computer Assisted Radiology and Surgery 16 ( 2) 241 -251
2021
Two-versus three-dimensional regions of interest for quantifying SPECT-CT images
Seiichiro Ota , Hiroshi Toyama , Atsushi Teramoto , Masaki Uno
Physical and Engineering Sciences in Medicine 1 -11
2021
Mutual stain conversion between Giemsa and Papanicolaou in cytological images using cycle generative adversarial network
Kazuya Shiogama , Hiroshi Fujita , Yuka Kiriyama , Atsushi Teramoto
Heliyon 7 ( 2)
2021
Automated classification of increased uptake regions in bone single-photon emission computed tomography/computed tomography images using three-dimensional deep convolutional neural network.
Seiichiro Ota , Hiroshi Toyama , Atsushi Teramoto , Yoshitaka Inui
Nuclear Medicine Communications
2021
Development of Pathological Diagnosis Support System Using Micro-computed Tomography.
Hiroshi Fujita , Yuka Kiriyama , Atsushi Teramoto , Tetsuya Tsukamoto
Acta Histochemica Et Cytochemica 54 ( 2) 49 -56
2021
Nano-Arthroscopic Ultrasound-Guided Excision of Unresolved Osgood−Schlatter Disease
Toshihiko Yamashita , Kota Watanabe , Tomoaki Kamiya , Atsushi Teramoto
Arthroscopy techniques
2021
Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique.
Atsushi Teramoto , Hiroshi Fujita , Osamu Yamamuro , Tsuneo Tamaki
Medical Physics 43 ( 6) 2821 -2827
242
2016
Development of quality control system for flat-panel detectors
Atsushi Teramoto , Takahiko Kajihara , Shoichi Suzuki , Kazuo Kinoshita
Radiological Physics and Technology 4 ( 2) 164 -172
2
2011
Dose reduction technique in diagnostic X-ray computed tomography by use of 6-channel multileaf collimators
Fumio Hashimoto , Atsushi Teramoto , Yasuki Asada , Shoichi Suzuki
Radiological Physics and Technology 10 ( 1) 60 -67
1
2017
Geometric distortion in magnetic resonance imaging systems assessed using an open-source plugin for scientific image analysis
Takahiro Aoyama , Hidetoshi Shimizu , Ikuo Shimizu , Atsushi Teramoto
Radiological Physics and Technology 11 ( 4) 467 -472
2018
A complementary scheme for automated detection of high-uptake regions on dedicated breast PET and whole-body PET/CT.
Natsuki Minoura , Atsushi Teramoto , Akari Ito , Osamu Yamamuro
Radiological Physics and Technology 12 ( 3) 260 -267
4
2019
Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes
Yuya Onishi , Atsushi Teramoto , Masakazu Tsujimoto , Tetsuya Tsukamoto
Radiological Physics and Technology 13 ( 2) 160 -169
2
2020
A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features
Ayaka Sakai , Yuya Onishi , Misaki Matsui , Hidetoshi Adachi
Radiological Physics and Technology 13 ( 1) 27 -36
8
2020
Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks
Yuka Kiriyama , Kazuyoshi Imaizumi , Kuniaki Saito , Hiroshi Fujita
PLOS ONE 15 ( 3) e0229951
49
2020