Ryosuke Kojima
Ryosuke Kojima
Assistant Professor, Kyoto University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Future possibilities for artificial intelligence in the practical management of hypertension
H Koshimizu, R Kojima, Y Okuno
Hypertension Research 43 (12), 1327-1337, 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
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
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
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
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
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
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
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
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
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
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