Hiroshi Fujita
Hiroshi Fujita
Zweryfikowany adres z fjt.info.gifu-u.ac.jp - Strona główna
Cytowane przez
Cytowane przez
A simple method for determining the modulation transfer function in digital radiography
H Fujita, DY Tsai, T Itoh, K Doi, J Morishita, K Ueda, A Ohtsuka
IEEE Transactions on medical imaging 11 (1), 34-39, 1992
Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary …
J Shiraishi, S Katsuragawa, J Ikezoe, T Matsumoto, T Kobayashi, ...
American Journal of Roentgenology 174 (1), 71-74, 2000
Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique
Y Lee, T Hara, H Fujita, S Itoh, T Ishigaki
IEEE Transactions on medical imaging 20 (7), 595-604, 2001
Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs
M Niemeijer, B Van Ginneken, MJ Cree, A Mizutani, G Quellec, ...
IEEE transactions on medical imaging 29 (1), 185-195, 2009
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study
B Van Ginneken, SG Armato III, B de Hoop, ...
Medical image analysis 14 (6), 707-722, 2010
Volumetric quantitative analysis of tissue characteristics of coronary plaques after statin therapy using three-dimensional integrated backscatter intravascular ultrasound
M Kawasaki, K Sano, M Okubo, H Yokoyama, Y Ito, I Murata, K Tsuchiya, ...
Journal of the American College of Cardiology 45 (12), 1946-1953, 2005
Classification of teeth in cone-beam CT using deep convolutional neural network
Y Miki, C Muramatsu, T Hayashi, X Zhou, T Hara, A Katsumata, H Fujita
Computers in biology and medicine 80, 24-29, 2017
Assessment of vulnerable plaques causing acute coronary syndrome using integrated backscatter intravascular ultrasound
K Sano, M Kawasaki, Y Ishihara, M Okubo, K Tsuchiya, K Nishigaki, ...
Journal of the American College of Cardiology 47 (4), 734-741, 2006
Investigation of basic imaging properties in digital radiography. 6. MTFs of II–TV digital imaging systems
H Fujita, K Doi, ML Giger
Medical physics 12 (6), 713-720, 1985
Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method
X Zhou, R Takayama, S Wang, T Hara, H Fujita
Medical physics 44 (10), 5221-5233, 2017
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
Basic imaging properties of a computed radiographic system with photostimulable phosphors
H Fujita, K Ueda, J Morishita, T Fujikawa, A Ohtsuka, T Sai
Medical physics 16 (1), 52-59, 1989
Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs
H Fujita, Y Uchiyama, T Nakagawa, D Fukuoka, Y Hatanaka, T Hara, ...
Computer methods and programs in biomedicine 92 (3), 238-248, 2008
Application of artificial neural network to computer-aided diagnosis of coronary artery disease in myocardial SPECT bull's-eye images
H Fujita, T Katafuchi, T Uehara, T Nishimura
Journal of Nuclear Medicine 33 (2), 272-276, 1992
Automated microaneurysm detection method based on double ring filter in retinal fundus images
A Mizutani, C Muramatsu, Y Hatanaka, S Suemori, T Hara, H Fujita
Medical Imaging 2009: Computer-Aided Diagnosis 7260, 487-494, 2009
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
A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography
T Hiraiwa, Y Ariji, M Fukuda, Y Kise, K Nakata, A Katsumata, H Fujita, ...
Dentomaxillofacial Radiology 48 (3), 20180218, 2019
Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods
C Muramatsu, T Nakagawa, A Sawada, Y Hatanaka, T Hara, T Yamamoto, ...
Computer methods and programs in biomedicine 101 (1), 23-32, 2011
Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images
X Zhou, T Hayashi, T Hara, H Fujita, R Yokoyama, T Kiryu, H Hoshi
Computerized Medical Imaging and Graphics 30 (5), 299-313, 2006
Development of a fully automatic scheme for detection of masses in whole breast ultrasound images
Y Ikedo, D Fukuoka, T Hara, H Fujita, E Takada, T Endo, T Morita
Medical physics 34 (11), 4378-4388, 2007
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