Atsushi Teramoto
Atsushi Teramoto
Adresse e-mail validée de fujita-hu.ac.jp
Titre
Citée par
Citée par
Année
Automated detection of pulmonary nodules in PET/CT images: Ensemble false‐positive reduction using a convolutional neural network technique
A Teramoto, H Fujita, O Yamamuro, T Tamaki
Medical physics 43 (6Part1), 2821-2827, 2016
1652016
Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter
A Teramoto, H Fujita
International journal of computer assisted radiology and surgery 8 (2), 193-205, 2013
1122013
Automated classification of lung cancer types from cytological images using deep convolutional neural networks
A Teramoto, T Tsukamoto, Y Kiriyama, H Fujita
BioMed research international 2017, 2017
892017
Automated solder inspection technique for BGA-mounted substrates by means of oblique computed tomography
A Teramoto, T Murakoshi, M Tsuzaka, H Fujita
IEEE Transactions on Electronics Packaging Manufacturing 30 (4), 285-292, 2007
442007
Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study
A Teramoto, H Fujita, K Takahashi, O Yamamuro, T Tamaki, M Nishio, ...
International journal of computer assisted radiology and surgery 9 (1), 59-69, 2014
352014
Automated pulmonary nodule classification in computed tomography images using a deep convolutional neural network trained by generative adversarial networks
Y Onishi, A Teramoto, M Tsujimoto, T Tsukamoto, K Saito, H Toyama, ...
BioMed research international 2019, 2019
322019
Dynamic PET image denoising using deep convolutional neural networks without prior training datasets
F Hashimoto, H Ohba, K Ote, A Teramoto, H Tsukada
IEEE Access 7, 96594-96603, 2019
292019
Automated detection of architectural distortion using improved adaptive Gabor filter
R Yoshikawa, A Teramoto, T Matsubara, H Fujita
International Workshop on Digital Mammography, 606-611, 2014
192014
Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network
A Teramoto, A Yamada, Y Kiriyama, T Tsukamoto, K Yan, L Zhang, ...
Informatics in Medicine Unlocked 16, 100205, 2019
162019
Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks
Y Onishi, A Teramoto, M Tsujimoto, T Tsukamoto, K Saito, H Toyama, ...
International journal of computer assisted radiology and surgery 15 (1), 173-178, 2020
152020
Automated detection of lung tumors in PET/CT images using active contour filter
A Teramoto, H Adachi, M Tsujimoto, H Fujita, K Takahashi, O Yamamuro, ...
Medical Imaging 2015: Computer-Aided Diagnosis 9414, 94142V, 2015
142015
Automated lung nodule detection using positron emission tomography/computed tomography
A Teramoto, H Fujita
Artificial intelligence in decision support systems for diagnosis in medical …, 2018
112018
High speed oblique CT system for solder bump inspection
A Teramoto, M Yamada, T Murakoshi, M Tsuzaka, H Fujita
IECON 2007-33rd Annual Conference of the IEEE Industrial Electronics Society …, 2007
112007
Automated classification of pulmonary nodules through a retrospective analysis of conventional CT and two-phase PET images in patients undergoing biopsy
A Teramoto, M Tsujimoto, T Inoue, T Tsukamoto, K Imaizumi, H Toyama, ...
Asia Oceania Journal of Nuclear Medicine and Biology 7 (1), 29, 2019
102019
Development of high speed oblique x-ray CT system for printed circuit board
A Teramoto, T Murakoshi, M Tsuzaka, H Fujita
SICE Transactions on Industrial Application 6 (9), 72-77, 2007
102007
Use of diffusion-weighted magnetic resonance imaging in empyema after cranioplasty
T Tamaki, T Eguchi, M Sakamoto, A Teramoto
British journal of neurosurgery 18 (1), 40-44, 2004
102004
Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks
A Teramoto, T Tsukamoto, A Yamada, Y Kiriyama, K Imaizumi, K Saito, ...
PloS one 15 (3), e0229951, 2020
82020
A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features
A Sakai, Y Onishi, M Matsui, H Adachi, A Teramoto, K Saito, H Fujita
Radiological physics and technology 13 (1), 27-36, 2020
82020
Development of an automated X-ray inspection method for microsolder bumps
A Teramoto, T Murakoshi, M Tsuzaka, H Fujita
2005 International Symposium on Electronics Materials and Packaging, 21-26, 2005
72005
Improvement of image quality in MR image using adaptive K-nearest neighbor averaging filter
A Teramoto, I Horiba, N Sugie
Proceedings of ICICS, 1997 International Conference on Information …, 1997
71997
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20