Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization M Nishio, M Nishizawa, O Sugiyama, R Kojima, M Yakami, T Kuroda, ... PloS one 13 (4), e0195875, 2018 | 113 | 2018 |
Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach E Uchino, K Suzuki, N Sato, R Kojima, Y Tamada, S Hiragi, H Yokoi, ... International journal of medical informatics 141, 104231, 2020 | 83 | 2020 |
Prediction of blood pressure variability using deep neural networks H Koshimizu, R Kojima, K Kario, Y Okuno International Journal of Medical Informatics 136, 104067, 2020 | 70 | 2020 |
kGCN: a graph-based deep learning framework for chemical structures R Kojima, S Ishida, M Ohta, H Iwata, T Honma, Y Okuno Journal of Cheminformatics 12, 1-10, 2020 | 68 | 2020 |
Prediction and interpretable visualization of retrosynthetic reactions using graph convolutional networks S Ishida, K Terayama, R Kojima, K Takasu, Y Okuno Journal of chemical information and modeling 59 (12), 5026-5033, 2019 | 62 | 2019 |
Pericentromeric noncoding RNA changes DNA binding of CTCF and inflammatory gene expression in senescence and cancer K Miyata, Y Imai, S Hori, M Nishio, TM Loo, R Okada, L Yang, T Nakadai, ... Proceedings of the National Academy of Sciences 118 (35), e2025647118, 2021 | 53 | 2021 |
Development of microphone-array-embedded UAV for search and rescue task K Nakadai, M Kumon, HG Okuno, K Hoshiba, M Wakabayashi, ... 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 49 | 2017 |
Partially Shared Deep Neural Network in sound source separation and identification using a UAV-embedded microphone array T Morito, O Sugiyama, R Kojima, K Nakadai 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 39 | 2016 |
Molecular weight fractionation by confinement of polymer in one-dimensional pillar [5] arene channels T Ogoshi, R Sueto, M Yagyu, R Kojima, T Kakuta, T Yamagishi, K Doitomi, ... Nature Communications 10 (1), 479, 2019 | 38 | 2019 |
The relationship between cigarette smoking and the tongue microbiome in an East Asian population N Sato, M Kakuta, E Uchino, T Hasegawa, R Kojima, W Kobayashi, ... Journal of oral microbiology 12 (1), 1742527, 2020 | 28 | 2020 |
Future possibilities for artificial intelligence in the practical management of hypertension H Koshimizu, R Kojima, Y Okuno Hypertension Research 43 (12), 1327-1337, 2020 | 26 | 2020 |
Semi-automatic bird song analysis by spatial-cue-based integration of sound source detection, localization, separation, and identification R Kojima, O Sugiyama, R Suzuki, K Nakadai, CE Taylor 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 26 | 2016 |
Ai-driven synthetic route design incorporated with retrosynthesis knowledge S Ishida, K Terayama, R Kojima, K Takasu, Y Okuno Journal of chemical information and modeling 62 (6), 1357-1367, 2022 | 22 | 2022 |
Acoustic monitoring of the great reed warbler using multiple microphone arrays and robot audition S Matsubayashi, R Suzuki, F Saito, T Murate, T Masuda, K Yamamoto, ... Journal of Robotics and Mechatronics 29 (1), 224-235, 2017 | 22 | 2017 |
2D sound source position estimation using microphone arrays and its application to a VR-based bird song analysis system D Gabriel, R Kojima, K Hoshiba, K Itoyama, K Nishida, K Nakadai Advanced Robotics 33 (7-8), 403-414, 2019 | 21 | 2019 |
A spatiotemporal analysis of acoustic interactions between great reed warblers (Acrocephalus arundinaceus) using microphone arrays and robot audition software … R Suzuki, S Matsubayashi, F Saito, T Murate, T Masuda, K Yamamoto, ... Ecology and evolution 8 (1), 812-825, 2018 | 19 | 2018 |
Vapoluminescence behavior triggered by crystal-state complexation between host crystals and guest vapors exhibiting no visible fluorescence T Ogoshi, Y Hamada, R Sueto, R Kojima, F Sakakibara, Y Nagata, ... Crystal Growth & Design 20 (11), 7087-7092, 2020 | 17 | 2020 |
Outdoor acoustic event identification using sound source separation and deep learning with a quadrotor-embedded microphone array S Uemura, O Sugiyama, R Kojima, K Nakadai The Abstracts of the international conference on advanced mechatronics …, 2015 | 17 | 2015 |
Evaluation of kidney histological images using unsupervised deep learning N Sato, E Uchino, R Kojima, M Sakuragi, S Hiragi, S Minamiguchi, ... Kidney international reports 6 (9), 2445-2454, 2021 | 16 | 2021 |
Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data N Sato, E Uchino, R Kojima, S Hiragi, M Yanagita, Y Okuno Computer Methods and Programs in Biomedicine 206, 106129, 2021 | 16 | 2021 |