Hiroshi Fujita

发表

Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network

Mizuho Nishio, Chisako Muramatsu, Shunjiro Noguchi, 2020, Comput. Biol. Medicine.

Detection of defected nerve regions on retinal fundus images using OCT data for glaucoma screening

Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita, 2020, Medical Imaging.

Breast mass image retrieval based on multimodality similarity estimation

Hiroshi Fujita, Chisako Muramatsu, Mikinao Oiwa, 2020, Other Conferences.

Unsupervised 3D PET-CT Image Registration Method Using a Metabolic Constraint Function and a Multi-Domain Similarity Measure

Yu-Dong Yao, Huiyan Jiang, Takeshi Hara, 2020, IEEE Access.

Quality Improvement of Clustering Engine in the Internet Based on Correlation

Tsunenori Mine, Miyuki Koshimura, Ryuzo Hasegawa, 2007 .

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

Atsushi Teramoto, Hiroshi Fujita, Kuniaki Saito, 2019, Physical and Engineering Sciences in Medicine.

Automated classification method of lung tumor type using cytological image and clinical record

Kazuyoshi Imaizumi, Atsushi Teramoto, Hiroshi Fujita, 2020, Other Conferences.

Mammographic mass identification in dense breasts using multi-scale analysis of structured micro-patterns

Mariusz Bajger, Hiroshi Fujita, Chisako Muramatsu, 2020, Other Conferences.

Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images.

Chisako Muramatsu, Tetsuya Yamamoto, Hiroshi Fujita, 2011, Journal of biomedical optics.

Virtual digital subtraction angiography using multizone patch-based U-Net.

Atsushi Teramoto, Hiroshi Fujita, Kuniaki Saito, 2020, Physical and engineering sciences in medicine.

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

Kazuyoshi Imaizumi, Atsushi Teramoto, Hiroshi Fujita, 2019, International Journal of Computer Assisted Radiology and Surgery.

Improving breast mass classification by shared data with domain transformation using a generative adversarial network

Chisako Muramatsu, Takeshi Kubo, Mizuho Nishio, 2020, Comput. Biol. Medicine.

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

Kazuyoshi Imaizumi, Atsushi Teramoto, Hiroshi Fujita, 2020, PloS one.

An Optimized Registration Method Based on Distribution Similarity and DVF Smoothness for 3D PET and CT Images

Yu-Dong Yao, Huiyan Jiang, Takeshi Hara, 2020, IEEE Access.

Classification of teeth in cone-beam CT using deep convolutional neural network

Xiangrong Zhou, Tatsuro Hayashi, Takeshi Hara, 2017, Comput. Biol. Medicine.

Hybrid Scheme for Automated Classification of Pulmonary Nodules Using PET/CT Images and Patient Information

Hiroshi Fujita, Kuniaki Saito, Atsushi Teramoto, 2020, Applied Sciences.

Gene transfer and characterization of protein dynamics in stem cells using single cell electroporation in a microfluidic device

Hiroshi Fujita, Janine N. Post, Willem Kruijer, 2006 .

Tooth numbering in cone-beam CT using a relation network for automatic filing of dentition charts

Xiangrong Zhou, Tatsuro Hayashi, Ryo Takahashi, 2020, Medical Imaging.

AI-based computer-aided diagnosis (AI-CAD): the latest review to read first

Hiroshi Fujita, H. Fujita, 2020, Radiological Physics and Technology.

Crawler type traveling device for suspending gondola cage

Hiroshi Fujita, 藤田宏, 1995 .

Surface Muscle Segmentation Using 3D U-Net Based on Selective Voxel Patch Generation in Whole-Body CT Images

Ami Oshima, Toshiharu Miyoshi, Hiroshi Fujita, 2020, Applied Sciences.