| Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis EA Susaki, K Tainaka, D Perrin, F Kishino, T Tawara, TM Watanabe, ... Cell 157 (3), 726-739, 2014 | 1329 | 2014 |
| Glaucoma diagnosis with machine learning based on optical coherence tomography and color fundus images G An, K Omodaka, K Hashimoto, S Tsuda, Y Shiga, N Takada, T Kikawa, ... Journal of healthcare engineering 2019 (1), 4061313, 2019 | 215 | 2019 |
| Local nucleosome dynamics facilitate chromatin accessibility in living mammalian cells S Hihara, CG Pack, K Kaizu, T Tani, T Hanafusa, T Nozaki, S Takemoto, ... Cell reports 2 (6), 1645-1656, 2012 | 208 | 2012 |
| Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network Y Sakai, S Takemoto, K Hori, M Nishimura, H Ikematsu, T Yano, H Yokota 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 135 | 2018 |
| Nuclear pore formation but not nuclear growth is governed by cyclin-dependent kinases (Cdks) during interphase K Maeshima, H Iino, S Hihara, T Funakoshi, A Watanabe, M Nishimura, ... Nature structural & molecular biology 17 (9), 1065-1071, 2010 | 120 | 2010 |
| Optical coherence tomography-based deep-learning models for classifying normal and age-related macular degeneration and exudative and non-exudative age-related macular … N Motozawa, G An, S Takagi, S Kitahata, M Mandai, Y Hirami, H Yokota, ... Ophthalmology and therapy 8, 527-539, 2019 | 111 | 2019 |
| Final design of the energy-resolved neutron imaging system “RADEN” at J-PARC T Shinohara, T Kai, K Oikawa, M Segawa, M Harada, T Nakatani, M Ooi, ... Journal of Physics: Conference Series 746 (1), 012007, 2016 | 91 | 2016 |
| The molecular mechanism of apoptosis upon caspase-8 activation: quantitative experimental validation of a mathematical model K Kominami, J Nakabayashi, T Nagai, Y Tsujimura, K Chiba, H Kimura, ... Biochimica et Biophysica Acta (BBA)-Molecular Cell Research 1823 (10), 1825-1840, 2012 | 84 | 2012 |
| Comparison of machine‐learning classification models for glaucoma management G An, K Omodaka, S Tsuda, Y Shiga, N Takada, T Kikawa, T Nakazawa, ... Journal of healthcare engineering 2018 (1), 6874765, 2018 | 79 | 2018 |
| Development of ultra-fine-grain binderless cBN tool for precision cutting of ferrous materials K Fujisaki, H Yokota, N Furushiro, Y Yamagata, T Taniguchi, R Himeno, ... Journal of Materials Processing Technology 209 (15-16), 5646-5652, 2009 | 77 | 2009 |
| Side-tunnel fibre: an approach to polarisation-maintaining optical waveguiding scheme T Okoshi, K Oyamada, M Nishimura, H Yokota Electronics Letters 18 (19), 824-826, 1982 | 70 | 1982 |
| Fast, robust, and faithful methods for detecting crest lines on meshes S Yoshizawa, A Belyaev, H Yokota, HP Seidel Computer Aided Geometric Design 25 (8), 545-560, 2008 | 68 | 2008 |
| Three-dimensional visualization and morphometry of small airways from microfocal X-ray computed tomography T Sera, H Fujioka, H Yokota, A Makinouchi, R Himeno, RC Schroter, ... Journal of biomechanics 36 (11), 1587-1594, 2003 | 65 | 2003 |
| Immobility responses are induced by photoactivation of single glomerular species responsive to fox odour TMT H Saito, H Nishizumi, S Suzuki, H Matsumoto, N Ieki, T Abe, H Kiyonari, ... Nature communications 8 (1), 16011, 2017 | 62 | 2017 |
| Murine pulmonary acinar mechanics during quasi-static inflation using synchrotron refraction-enhanced computed tomography T Sera, H Yokota, G Tanaka, K Uesugi, N Yagi, RC Schroter Journal of Applied Physiology 115 (2), 219-228, 2013 | 62 | 2013 |
| Three-dimensional tracking of plus-tips by lattice light-sheet microscopy permits the quantification of microtubule growth trajectories within the mitotic apparatus N Yamashita, M Morita, WR Legant, BC Chen, E Betzig, H Yokota, ... Journal of biomedical optics 20 (10), 101206-101206, 2015 | 59 | 2015 |
| Region data editing apparatus, region data editing method, and recording medium T Ijiri, H Yokota US Patent 8,351,670, 2013 | 59 | 2013 |
| Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images G An, M Akiba, K Omodaka, T Nakazawa, H Yokota Scientific reports 11 (1), 4250, 2021 | 58 | 2021 |
| Artificial oxygen carriers rescue placental hypoxia and improve fetal development in the rat pre-eclampsia model H Li, H Ohta, Y Tahara, S Nakamura, K Taguchi, M Nakagawa, Y Oishi, ... Scientific reports 5 (1), 15271, 2015 | 57 | 2015 |
| Development of high-resolution 4D in vivo-CT for visualization of cardiac and respiratory deformations of small animals T Sera, H Yokota, K Fujisaki, K Fukasaku, H Tachibana, K Uesugi, N Yagi, ... Physics in Medicine & Biology 53 (16), 4285, 2008 | 55 | 2008 |
