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| 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 | 964 | 1992 |
| 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 | 696 | 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 | 672 | 2009 |
| 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 | 397 | 2017 |
| 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 | 363 | 2010 |
| 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 | 317 | 2019 |
| AI-based computer-aided diagnosis (AI-CAD): the latest review to read first H Fujita Radiological physics and technology 13 (1), 6-19, 2020 | 306 | 2020 |
| 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 | 296 | 2005 |
| Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography M Fukuda, K Inamoto, N Shibata, Y Ariji, Y Yanashita, S Kutsuna, ... Oral radiology 36, 337-343, 2020 | 279 | 2020 |
| 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 (1), 4067832, 2017 | 277 | 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 | 230 | 2006 |
| Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography M Murata, Y Ariji, Y Ohashi, T Kawai, M Fukuda, T Funakoshi, Y Kise, ... Oral radiology 35, 301-307, 2019 | 222 | 2019 |
| 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 | 215 | 2017 |
| Automated microaneurysm detection method based on double-ring filter and feature analysis in retinal fundus images Y Hatanaka, T Inoue, S Okumura, C Muramatsu, H Fujita 2012 25th IEEE International Symposium on Computer-Based Medical Systems …, 2012 | 210 | 2012 |
| Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique Y Ariji, Y Yanashita, S Kutsuna, C Muramatsu, M Fukuda, Y Kise, ... Oral surgery, oral medicine, oral pathology and oral radiology 128 (4), 424-430, 2019 | 188 | 2019 |
| Contrast-enhanced computed tomography image assessment of cervical lymph node metastasis in patients with oral cancer by using a deep learning system of artificial intelligence Y Ariji, M Fukuda, Y Kise, M Nozawa, Y Yanashita, H Fujita, A Katsumata, ... Oral surgery, oral medicine, oral pathology and oral radiology 127 (5), 458-463, 2019 | 187 | 2019 |
| 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 | 177 | 1985 |
| 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 | 172 | 2008 |
| 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, 193-205, 2013 | 161 | 2013 |
Chisako MuramatsuShiga Universityبريد إلكتروني تم التحقق منه على biwako.shiga-u.ac.jp