| 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 | 647 | 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 | 361 | 2017 |
| 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 | 176 | 2009 |
| 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 | 161 | 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 | 143 | 2011 |
| S1P–S1PR2 axis mediates homing of muse cells into damaged heart for long-lasting tissue repair and functional recovery after acute myocardial infarction Y Yamada, S Wakao, Y Kushida, S Minatoguchi, A Mikami, K Higashi, ... Circulation research 122 (8), 1069-1083, 2018 | 141 | 2018 |
| Blind image quality assessment using the joint statistics of generalized local binary pattern M Zhang, C Muramatsu, X Zhou, T Hara, H Fujita IEEE Signal Processing Letters 22 (2), 207-210, 2014 | 120 | 2014 |
| Detection of retinal nerve fiber layer defects on retinal fundus images for early diagnosis of glaucoma C Muramatsu, Y Hayashi, A Sawada, Y Hatanaka, T Hara, T Yamamoto, ... Journal of biomedical optics 15 (1), 016021-016021-7, 2010 | 116 | 2010 |
| Investigation of psychophysical measure for evaluation of similar images for mammographic masses: preliminary results C Muramatsu, Q Li, K Suzuki, RA Schmidt, J Shiraishi, GM Newstead, ... Medical physics 32 (7Part1), 2295-2304, 2005 | 98 | 2005 |
| Tooth detection and classification on panoramic radiographs for automatic dental chart filing: improved classification by multi-sized input data C Muramatsu, T Morishita, R Takahashi, T Hayashi, W Nishiyama, Y Ariji, ... Oral Radiology 37, 13-19, 2021 | 97 | 2021 |
| Breast mass classification on mammograms using radial local ternary patterns C Muramatsu, T Hara, T Endo, H Fujita Computers in biology and medicine 72, 43-53, 2016 | 97 | 2016 |
| Automated selection of major arteries and veins for measurement of arteriolar-to-venular diameter ratio on retinal fundus images C Muramatsu, Y Hatanaka, T Iwase, T Hara, H Fujita Computerized medical imaging and graphics 35 (6), 472-480, 2011 | 90 | 2011 |
| Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs R Kuwana, Y Ariji, M Fukuda, Y Kise, M Nozawa, C Kuwada, ... Dentomaxillofacial Radiology 50 (1), 20200171, 2021 | 76 | 2021 |
| Automated measurement of mandibular cortical width on dental panoramic radiographs C Muramatsu, T Matsumoto, T Hayashi, T Hara, A Katsumata, X Zhou, ... International journal of computer assisted radiology and surgery 8, 877-885, 2013 | 72 | 2013 |
| Automatic measurement of cup to disc ratio based on line profile analysis in retinal images Y Hatanaka, A Noudo, C Muramatsu, A Sawada, T Hara, T Yamamoto, ... 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 68 | 2011 |
| Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs M Fukuda, Y Ariji, Y Kise, M Nozawa, C Kuwada, T Funakoshi, ... Oral surgery, oral medicine, oral pathology and oral radiology 130 (3), 336-343, 2020 | 67 | 2020 |
| 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 | 64 | 2012 |
| Automated detection and classification of major retinal vessels for determination of diameter ratio of arteries and veins C Muramatsu, Y Hatanaka, T Iwase, T Hara, H Fujita Medical imaging 2010: computer-aided diagnosis 7624, 153-160, 2010 | 63 | 2010 |
| Improving breast mass classification by shared data with domain transformation using a generative adversarial network C Muramatsu, M Nishio, T Goto, M Oiwa, T Morita, M Yakami, T Kubo, ... Computers in biology and medicine 119, 103698, 2020 | 62 | 2020 |
| Usefulness of texture analysis for computerized classification of breast lesions on mammograms RR Pereira, PM Azevedo Marques, MO Honda, SK Kinoshita, ... Journal of digital imaging 20, 248-255, 2007 | 55 | 2007 |
