Yuji Hatanaka

发表

Recognition of Optic Nerve Head Using Blood-Vessel-Erased Image and Its Application to Production of Simulated Stereogram in Computer-Aided Diagnosis System for Retinal Images

Hiroshi Fujita, Takeshi Hara, Tetsuya Yamamoto, 2006 .

Effect of a Reusable Unit's Physical Life Distribution on Reuse Efficiency in Environmentally Conscious Products ☆

Yuji Hatanaka, Kazunori Ogohara, Susumu Okumura, 2017 .

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

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

A development of computer-aided diagnosis system using fundus images

Hiroshi Fujita, Takeshi Hara, Yuji Hatanaka, 2001, Proceedings Seventh International Conference on Virtual Systems and Multimedia.

Improvement of automatic hemorrhage detection methods using brightness correction on fundus images

Hiroshi Fujita, Takeshi Hara, Toshiaki Nakagawa, 2008, SPIE Medical Imaging.

Glaucoma risk assessment based on clinical data and automated nerve fiber layer defects detection

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Computerized Detection of Retinal Nerve Fiber Layer Defects in Retinal Fundus Images by Modified Polar Transformation and Gabor Filtering

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2009 .

Furniture layout design aided system using subjective reward

Wataru Sunayama, Yuji Hatanaka, Tomohiro Matsuno, 2019, Other Conferences.

Automated microaneurysm detection method based on double-ring filter and feature analysis in retinal fundus images

Hiroshi Fujita, Tsuyoshi Inoue, Chisako Muramatsu, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Personal identification based on blood vessels of retinal fundus images

Hiroshi Fujita, Takeshi Hara, Toshiaki Nakagawa, 2008, SPIE Medical Imaging.

Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs

Xiangrong Zhou, Hiroshi Fujita, Xin Gao, 2008, Comput. Methods Programs Biomed..

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

Hiroshi Fujita, Chisako Muramatsu, Tetsuya Yamamoto, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Preliminary study on differentiation between glaucomatous and non-glaucomatous eyes on stereo fundus images using cup gradient models

Hiroshi Fujita, Chisako Muramatsu, Tetsuya Yamamoto, 2014, Medical Imaging.

Three-dimensional Reconstruction using a Single Two-dimensional Retinal Image

Hiroshi Fujita, Takeshi Hara, Tetsuya Yamamoto, 2006 .

CAD scheme to detect hemorrhages and exudates in ocular fundus images

Hiroshi Fujita, Takeshi Hara, Akihiro Fujita, 2007, SPIE Medical Imaging.

Automatic measurement of cup to disc ratio based on line profile analysis in retinal images

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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.

Automatic microaneurysms detection on retinal images using deep convolution neural network

Wataru Sunayama, Hiroshi Fujita, Chisako Muramatsu, 2018, 2018 International Workshop on Advanced Image Technology (IWAIT).

Data Analysis Support by Combining Data Mining and Text Mining

Wataru Sunayama, Yuji Hatanaka, Kazunori Ogohara, 2017, 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Visualizing Computational Wear with Physical Wear

Kentaro Go, Xiaoyang Mao, Atsumi Imamiya, 2000 .

Quantitative depth analysis of optic nerve head using stereo retinal fundus image pair.

Hiroshi Fujita, Takeshi Hara, Tetsuya Yamamoto, 2008, Journal of biomedical optics.

Automated selection of major arteries and veins for measurement of arteriolar-to-venular diameter ratio on retinal fundus images

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2011, Comput. Medical Imaging Graph..

Automated detection and classification of major retinal vessels for determination of diameter ratio of arteries and veins

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2010, Medical Imaging.

Automated lesion detection in retinal images

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2011, ISABEL '11.

Automatic Measurement of Vertical Cup-to-Disc Ratio on Retinal Fundus Images

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2010, ICMB.

Comparison of the depth of an optic nerve head obtained using stereo retinal images and HRT

Hiroshi Fujita, Takeshi Hara, Tetsuya Yamamoto, 2007, SPIE Medical Imaging.

Automated blood vessel extraction using local features on retinal images

Hiroshi Fujita, Chisako Muramatsu, Yuji Hatanaka, 2016, SPIE Medical Imaging.

Development of an automated method for detecting mammographic masses with a partial loss of region

Hiroshi Fujita, Satoshi Kasai, Takeshi Hara, 2001, IEEE Transactions on Medical Imaging.

Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

Qin Li, Jane You, Fakhri Karray, 2010, IEEE Transactions on Medical Imaging.

Detection of retinal nerve fiber layer defects in retinal fundus images using Gabor filtering

Hiroshi Fujita, Takeshi Hara, Tetsuya Yamamoto, 2007, SPIE Medical Imaging.

CAD on Brain, Fundus, and Breast Images

Xiangrong Zhou, Hiroshi Fujita, Xin Gao, 2007, MIMI.

Method and apparatus for transmitting / receiving an encrypted digital signal

Shigeru Yamazaki, Hiroo Okamoto, Takao Arai, 1995 .

Automated analysis of the distributions and geometries of blood vessels on retinal fundus images

Hiroshi Fujita, Takeshi Hara, Tetsuya Yamamoto, 2004, SPIE Medical Imaging.

Automated microaneurysm detection method based on eigenvalue analysis using hessian matrix in retinal fundus images

Hiroshi Fujita, Tsuyoshi Inoue, Chisako Muramatsu, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An automated detection method of mammographic masses existing around thick-mammary-gland and near chest-wall regions

Hiroshi Fujita, Satoshi Kasai, Takeshi Hara, 2001, CARS.

Image-guided streamline placement on curvilinear grid surfaces

Xiaoyang Mao, Atsumi Imamiya, Yuji Hatanaka, 1998, Proceedings Visualization '98 (Cat. No.98CB36276).

Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma

Hiroshi Fujita, Chisako Muramatsu, Tetsuya Yamamoto, 2017, Medical Imaging.

Data Mining Framework for Treating both Numerical and Text Data

Wataru Sunayama, Yuji Hatanaka, Kazunori Ogohara, 2018 .

Automated Microaneurysm Detection in Retinal Fundus Images Based on the Combination of Three Detectors

Hiroshi Fujita, Tsuyoshi Inoue, Chisako Muramatsu, 2018, Journal of Medical Imaging and Health Informatics.

Performance Evaluation of a CAD System for Detecting Masses on Mammograms by Using the MIAS Database

Hiroshi Fujita, Takeshi Hara, Takuji Iwase, 2001 .

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

Yuji Hatanaka, Kazunori Ogohara, Susumu Okumura, 2016, Int. J. Autom. Technol..

Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihood

Hiroshi Fujita, Chisako Muramatsu, Tetsuya Yamamoto, 2016, SPIE Medical Imaging.

Automatic Microaneurysm Detection in Retinal Fundus Images by Density Gradient Vector Concentration

Hiroshi Fujita, Tsuyoshi Inoue, Chisako Muramatsu, 2015 .

Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2011, Comput. Methods Programs Biomed..

Development of an automated method for detecting abnormal blood vessels on retinal images

Hiroshi Fujita, Takeshi Hara, Tetsuya Yamamoto, 2004, CARS.

Determination of cup-to-disc ratio of optical nerve head for diagnosis of glaucoma on stereo retinal fundus image pairs

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2009, Medical Imaging.

Vertical cup-to-disc ratio measurement for diagnosis of glaucoma on fundus images

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2010, Medical Imaging.

Retinal biometrics based on Iterative Closest Point algorithm

Wataru Sunayama, Hiroshi Fujita, Chisako Muramatsu, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Computerized detection of peripapillary chorioretinal atrophy by texture analysis

Hiroshi Fujita, Chisako Muramatsu, Tetsuya Yamamoto, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Development of a New Algorithm for Detection of Mammographic Masses

Hiroshi Fujita, Satoshi Kasai, Takeshi Hara, 1998, Digital Mammography / IWDM.

Automated microaneurysm detection method based on double ring filter in retinal fundus images

Atsushi Mizutani, Hiroshi Fujita, Takeshi Hara, 2009, Medical Imaging.

Image-guided streamline placement on curvilinear grid surfaces

Xiaoyang Mao, Atsumi Imamiya, Yuji Hatanaka, 1998 .

Arteriovenous classification method using convolutional neural network for early detection of retinal vascular lesion

Wataru Sunayama, Hiroshi Fujita, Chisako Muramatsu, 2019, Other Conferences.

Automatic arteriovenous crossing phenomenon detection on retinal fundus images

Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu, 2011, Medical Imaging.

Cup Region Extraction of Optic Nerve Head for Three-Dimensional Retinal Fundus Image

Hiroshi Fujita, Takeshi Hara, Yoshinori Hayashi, 2007 .

Detection Algorithm for Masses Existing around Thick Mammary Gland Regions on Mammograms.

Hiroshi Fujita, Satoshi Kasai, Takeshi Hara, 2000 .

Improvement of automated detection method of hemorrhages in fundus images

Hiroshi Fujita, Takeshi Hara, Yoshinori Hayashi, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[A comparison between physicians' interpretation and a CAD system's cancer detection by using a mammogram database in a physicians' self-learning course].

Hiroshi Fujita, Takeshi Hara, Norimitsu Shinohara, 2002, Nihon Hoshasen Gijutsu Gakkai zasshi.