| Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning M Makino, R Yoshimoto, M Ono, T Itoko, T Katsuki, A Koseki, M Kudo, ... Scientific reports 9 (1), 11862, 2019 | 141 | 2019 |
| Posterior-mean super-resolution with a causal Gaussian Markov random field prior T Katsuki, A Torii, M Inoue IEEE Transactions on Image Processing 21 (7), 3182-3193, 2012 | 39 | 2012 |
| City-wide traffic flow estimation from a limited number of low-quality cameras T Idé, T Katsuki, T Morimura, R Morris IEEE Transactions on Intelligent Transportation Systems 18 (4), 950-959, 2016 | 38 | 2016 |
| Risk Prediction of Diabetic Nephropathy via Interpretable Feature Extraction from EHR Using Convolutional Autoencoder. T Katsuki, M Ono, A Koseki, M Kudo, K Haida, J Kuroda, M Makino, ... Studies in health technology and informatics 247, 106-110, 2018 | 20 | 2018 |
| Information processing apparatus, program, and information processing method T Katsuki, Y Shinohara US Patent 9,928,468, 2018 | 17 | 2018 |
| Information fusion based learning for frugal traffic state sensing V Joshi, N Rajamani, T Katsuki, N Prathapaneni, LV Subramaniam Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 15 | 2013 |
| Assistance generation T Katsuki, T Morimura US Patent 10,878,337, 2020 | 14 | 2020 |
| P-type InGaN across the entire alloy composition range K Wang, T Araki, KM Yu, T Katsuki, MA Mayer, E Alarcon-Llado, JW Ager, ... Applied Physics Letters 102 (10), 2013 | 13 | 2013 |
| Predicting a consumer selection preference based on estimated preference and environmental dependence T Katsuki, T Osogami US Patent 9,916,541, 2018 | 12 | 2018 |
| Unsupervised object counting without object recognition T Katsuki, T Morimura, T Idé Pattern Recognition (ICPR), 2016 23rd International Conference on, 3627-3632, 2016 | 11* | 2016 |
| Efficient determination of optimized learning settings of neural networks S Hara, T Katsuki, T Morimura, Y Yamada US Patent 11,093,826, 2021 | 8 | 2021 |
| Artificial intelligence predicts progress of diabetic kidney disease-novel prediction model construction with big data machine learning M Makino, M Ono, T Itoko, T Katsuki, A Koseki, M Kudo, K Haida, J Kuroda, ... Diabetes 67 (Supplement_1), 2018 | 8 | 2018 |
| Monitoring entire-city traffic using low-resolution web cameras T Idé, T Katsuki, T Morimura, R Morris Proceedings of the 20th ITS World Congress, Tokyo, 2013 | 8 | 2013 |
| Consistent and efficient nonparametric different-feature selection S Hara, T Katsuki, H Yanagisawa, T Ono, R Okamoto, S Takeuchi Artificial Intelligence and Statistics, 130-138, 2017 | 7 | 2017 |
| Predicting a consumer selection preference based on estimated preference and environmental dependence T Katsuki, T Osogami US Patent 10,467,546, 2019 | 6 | 2019 |
| Traffic velocity estimation from vehicle count sequences T Katsuki, T Morimura, M Inoue IEEE Transactions on Intelligent Transportation Systems 18 (7), 1700-1712, 2016 | 6 | 2016 |
| Detecting anomalous sensors S Hara, T Katsuki US Patent 9,892,012, 2018 | 5 | 2018 |
| Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutional Autoencoder T Katsuki, M Ono, A Koseki, M Kudo, K Haida, J Kuroda, M Makino, ... AAAI 2018 Joint Workshop on Health Intelligence, 451-454, 2018 | 5 | 2018 |
| Fair anomaly detection and localization T Katsuki US Patent 11,225,259, 2022 | 4 | 2022 |
| Learning to estimate driver drowsiness from car acceleration sensors using weakly labeled data T Katsuki, K Zhao, T Yoshizumi ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
Tetsuro MorimuraCyberAgent, Inc.Email verificata su cyberagent.co.jp
