| Application of artificial intelligence for preoperative diagnostic and prognostic prediction in epithelial ovarian cancer based on blood biomarkers E Kawakami, J Tabata, N Yanaihara, T Ishikawa, K Koseki, Y Iida, M Saito, ... Clinical cancer research 25 (10), 3006-3015, 2019 | 150 | 2019 |
| How and when? Metacognition and solution timing characterize an “aha” experience of object recognition in hidden figures T Ishikawa, M Toshima, K Mogi Frontiers in psychology 10, 437705, 2019 | 21 | 2019 |
| Visual one-shot learning as an ‘anti-camouflage device’: a novel morphing paradigm T Ishikawa, K Mogi Cognitive Neurodynamics 5, 231-239, 2011 | 16 | 2011 |
| Antenatal screening timeline and cutoff scores of the Edinburgh Postnatal Depression Scale for predicting postpartum depressive symptoms in healthy women: a prospective cohort … A Tanuma-Takahashi, T Tanemoto, C Nagata, R Yokomizo, A Konishi, ... BMC Pregnancy and Childbirth 22 (1), 527, 2022 | 13 | 2022 |
| Proteogenomic landscape and clinical characterization of GH-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors A Yamato, H Nagano, Y Gao, T Matsuda, N Hashimoto, A Nakayama, ... Communications biology 5 (1), 1304, 2022 | 10 | 2022 |
| Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART‐2 study K Nakano, K Nochioka, S Yasuda, D Tamori, T Shiroto, Y Sato, E Takaya, ... ESC heart failure 10 (3), 1597-1604, 2023 | 6 | 2023 |
| Development and validation of machine learning prediction model for post-rehabilitation functional outcome after intracerebral hemorrhage S Sonobe, T Ishikawa, K Niizuma, E Kawakami, T Ueda, E Takaya, ... Interdisciplinary Neurosurgery 29, 101560, 2022 | 4 | 2022 |
| Detecting time-evolving phenotypic components of adverse reactions against BNT162b2 SARS-CoV-2 vaccine via non-negative tensor factorization K Ikeda, TA Nakada, T Kageyama, S Tanaka, N Yoshida, T Ishikawa, ... iScience 25 (10), 105237, 2022 | 3 | 2022 |
| Epigenetic profiles guide improved CRISPR/Cas9-mediated gene knockout in human T cells Y Ito, S Inoue, T Nakashima, H Zhang, Y Li, H Kasuya, T Matsukawa, ... Nucleic acids research 52 (1), 141-153, 2024 | 2 | 2024 |
| GLASE-IRUKA: Gaze feedback improves satisfaction in exploratory image search V Garkavijs, R Okamoto, T Ishikawa, M Toshima, N Kando Proceedings of the 23rd International Conference on World Wide Web, 273-274, 2014 | 2 | 2014 |
| Monitoring of blood biochemical markers for periprosthetic joint infection using ensemble machine learning and UMAP embedding E Kawakami, N Kobayashi, Y Ichihara, T Ishikawa, H Choe, A Tomoyama, ... Archives of Orthopaedic and Trauma Surgery 143 (10), 6057-6067, 2023 | 1 | 2023 |
| Statistical analysis of mortality rates of coronavirus disease 2019 (COVID-19) patients in Japan across the 4C mortality score risk groups, age groups, and epidemiological … H Baba, S Ikumi, S Aoyama, T Ishikawa, Y Asai, N Matsunaga, ... Open Forum Infectious Diseases 10 (1), ofac638, 2023 | 1 | 2023 |
| Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures T Ishikawa, M Toshima, K Mogi Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 1 | 2019 |
| Proposal of the application of the delamination test to semiconductor package design R Kusama, T Ishikawa, Q Yu, K Yamashita, T Takeda 2014 International Conference on Electronics Packaging (ICEP), 732-735, 2014 | 1 | 2014 |
| Spatiotemporal components of adverse reactions against BNT162b2 mRNA SARS-CoV-2 vaccine reflect different immunological processes K Ikeda, TA Nakada, T Kageyama, S Tanaka, N Yoshida, T Ishikawa, ... | 1 | |
| State visualization device, state visualization method, and state visualization program T Ishikawa, E Kawakami US Patent 11,961,204, 2024 | | 2024 |
| Residual facial erythema in atopic dermatitis patients treated with dupilumab stratified by machine learning K Ashizaki, T Ishikawa, Y Nomura Journal of the European Academy of Dermatology and Venereology, 2024 | | 2024 |
| Explainable Machine Learning Classification to Identify Vulnerable Groups Among Parenting Mothers: Web-Based Cross-Sectional Questionnaire Study A Hanai, T Ishikawa, S Sugao, M Fujii, K Hirai, H Watanabe, M Matsuzaki, ... JMIR Formative Research 8 (1), e47372, 2024 | | 2024 |
| Synthesis of causal and surrogate models by non-equilibrium thermodynamics in biological systems K Sakurada, T Ishikawa Scientific reports 14 (1), 1001, 2024 | | 2024 |
| Generative artificial intelligence and non-pharmacological bias: an experimental study on cancer patient sexual health communications A Hanai, T Ishikawa, S Kawauchi, Y Iida, E Kawakami BMJ Health & Care Informatics 31 (1), 2024 | | 2024 |
Eiryo KawakamiTeam Leader, ADSP, R-IH, RIKEN; Professor, Artificial Intelligence Medicine, Chiba UniversityVerified email at riken.jp
