| Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database D Inaguma, A Kitagawa, R Yanagiya, A Koseki, T Iwamori, M Kudo, ... PLoS One 15 (9), e0239262, 2020 | 16 | 2020 |
| Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data S Roy, I Kiral, M Mirmomeni, T Mummert, A Braz, J Tsay, J Tang, U Asif, ... EBioMedicine 66, 2021 | 15 | 2021 |
| Deep convolutional neural network-based algorithm for muscle biopsy diagnosis Y Kabeya, M Okubo, S Yonezawa, H Nakano, M Inoue, M Ogasawara, ... Laboratory Investigation 102 (3), 220-226, 2022 | 10 | 2022 |
| Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: A … D Inaguma, H Hayashi, R Yanagiya, A Koseki, T Iwamori, M Kudo, ... BMJ open 12 (6), e058833, 2022 | 5 | 2022 |
| Evaluation of combined artificial intelligence and neurologist assessment to annotate scalp electroencephalography data S Roy, I Kiral-Kornek, M Mirmomeni, T Mummert, A Braz, J Tsai, J Tang, ... EBioMedicine 66, 103275, 2021 | 5 | 2021 |
| Time-window based attention long short-term memory network of deep learning T Iwamori, A Koseki, H Yanagisawa, T Katsuki US Patent App. 16/926,741, 2022 | 3 | 2022 |
| The Deep Learning Epilepsy Detection Challenge: design, implementation, and test of a new crowd-sourced AI challenge ecosystem I Kiral, S Roy, T Mummert, A Braz, J Tsay, J Tang, U Asif, T Schaffter, ... Challenges in Machine Learning Competitions for All (CiML) 1 (1), 2019 | 3 | 2019 |
| Time-aligned reconstruction recurrent neural network for multi-variate time-series T Iwamori, A Koseki, H Yanagisawa, T Katsuki US Patent App. 17/223,183, 2022 | 2 | 2022 |
| Cumulative stay-time representation for electronic health records in medical event time prediction T Katsuki, K Miyaguchi, A Koseki, T Iwamori, R Yanagiya, A Suzuki arXiv preprint arXiv:2204.13451, 2022 | 2 | 2022 |
| Variational inference for discriminative learning with generative modeling of feature incompletion K Miyaguchi, T Katsuki, A Koseki, T Iwamori International Conference on Learning Representations, 2021 | 2 | 2021 |
| Physician-level aggregated classifier for genetic muscle disorders Y Kabeya, T Iwamori, S Yonezawa, Y Takeuchi, H Nakano, Y Nagisa, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 2 | 2019 |
| Epileptic seizure detection with eeg preprocessing H Yanagisawa, T Iwamori US Patent App. 16/670,177, 2021 | 1 | 2021 |
| A deep convolutional neural network-based algorithm for muscle biopsy diagnosis outperforms human specialists Y Kabeya, M Okubo, S Yonezawa, H Nakano, M Inoue, M Ogasawara, ... medRxiv, 2020.12. 15.20248231, 2020 | 1 | 2020 |
| O. 37AI-based muscle histopathologist can differentiate major muscular dystrophies better than human Y Kabeya, T Iwamori, S Yonezawa, Y Takeuchi, H Nakano, Y Nagisa, ... Neuromuscular Disorders 29, S126-S127, 2019 | 1 | 2019 |
| Variational method of maximizing conditional evidence for latent variable models K Miyaguchi, T Katsuki, A Koseki, T Iwamori US Patent App. 17/942,454, 2024 | | 2024 |
| Training a neural network prediction model for survival analysis H Yanagisawa, T Iwamori, A Koseki, M Kudo US Patent App. 17/887,349, 2024 | | 2024 |
| Training a neural network to achieve average calibration H Yanagisawa, T Iwamori, A Koseki, M Kudo US Patent App. 17/738,268, 2023 | | 2023 |
| Neural ode for irregularly-sampled time series T Iwamori, H Yanagisawa, A Koseki, T Katsuki US Patent App. 17/482,658, 2023 | | 2023 |
| Interpretable Stratification for Chronic Kidney Disease Progression Based on Time to Event Analysis M Ghalwash, A Koseki, T Iwamori, M Kudo, P Meyer AMIA Summits on Translational Science Proceedings 2023, 244, 2023 | | 2023 |
| DPM360: New Additions to Advanced Disease Progression Modeling A Koseki, I Buleje, P Chakraborty, E Eyigoz, M Ghalwash, T Itoh, ... OHDSI Collaborator Showcase, 2022 | | 2022 |
