Kazunori Ogohara

According to our database, Kazunori Ogohara authored at least 8 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Automated segmentation of textured dust storms on mars remote sensing images using an encoder-decoder type convolutional neural network.

Kazunori Ogohara, Ryusei Gichu

Comput. Geosci., 2022

2019

Optimization Technique of Memory Traffic for FPGA-Based Image Processing System.

Kenta Nishiguchi, Toshiyuki Inoue, Akira Tsuchiya, Kazunori Ogohara, Keiji Kishine

Proceedings of the 2019 International SoC Design Conference, 2019

2017

Data Analysis Support by Combining Data Mining and Text Mining.

Tomoya Matsumoto, Wataru Sunayama, Yuji Hatanaka, Kazunori Ogohara

Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Retinal biometrics based on Iterative Closest Point algorithm.

Yuji Hatanaka, Mikiya Tajima, Ryo Kawasaki, Koko Saito, Kazunori Ogohara, Chisako Muramatsu, Wataru Sunayama, Hiroshi Fujita

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Simultaneous Evaluation of Environmental Impact and Incurred Cost on Selection of End-Of-Life Products Recovery Options.

Susumu Okumura, Yuuki Matsumoto, Yuji Hatanaka, Kazunori Ogohara

Int. J. Autom. Technol., 2016

Automated blood vessel extraction using local features on retinal images.

Yuji Hatanaka, Kazuki Samo, Mikiya Tajima, Kazunori Ogohara, Chisako Muramatsu, Susumu Okumura, Hiroshi Fujita

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Artery and vein diameter ratio measurement based on improvement of arteries and veins segmentation on retinal images.

Yuji Hatanaka, Hirokazu Tachiki, Kazunori Ogohara, Chisako Muramatsu, Susumu Okumura, Hiroshi Fujita

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014

Improved automated optic cup segmentation based on detection of blood vessel bends in retinal fundus images.

Yuji Hatanaka, Yuuki Nagahata, Chisako Muramatsu, Susumu Okumura, Kazunori Ogohara, Akira Sawada, Kyoko Ishida, Tetsuya Yamamoto, Hiroshi Fujita

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014