Atsushi Teramoto

About Atsushi Teramoto

Atsushi Teramoto, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at Fujita Health University, specializes in the field of Artificial Intelligence, Medical imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lung cancer CT image generation from a free-form sketch using style-based pix2pix for data augmentation

Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks

Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks

Automated detection and segmentation of early gastric cancer from endoscopic images using mask R-CNN

A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features

Bone suppression for chest X-ray image using a convolutional neural filter

Kinetics-induced block matching and 5-D transform domain filtering for dynamic PET image denoising

Atsushi Teramoto Information

University

Position

___

Citations(all)

1704

Citations(since 2020)

1385

Cited By

841

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

29

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Atsushi Teramoto Skills & Research Interests

Artificial Intelligence

Medical imaging

Top articles of Atsushi Teramoto

Lung cancer CT image generation from a free-form sketch using style-based pix2pix for data augmentation

Scientific reports

2022/7/27

Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification

International Journal of Computer Assisted Radiology and Surgery

2021/2

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks

International journal of computer assisted radiology and surgery

2020/1

Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks

PloS one

2020/3/5

Automated detection and segmentation of early gastric cancer from endoscopic images using mask R-CNN

Applied Sciences

2020/5/31

A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features

Radiological Physics and Technology

2020/3

Bone suppression for chest X-ray image using a convolutional neural filter

Physical and Engineering Sciences in Medicine

2020/3

Kinetics-induced block matching and 5-D transform domain filtering for dynamic PET image denoising

IEEE Transactions on Radiation and Plasma Medical Sciences

2020/6/5

Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes

Igaku Butsuri: Nihon Igaku Butsuri Gakkai Kikanshi= Japanese Journal of Medical Physics: an Official Journal of Japan Society of Medical Physics

2021/1/1

See List of Professors in Atsushi Teramoto University(Fujita Health University)