| A narrative review of digital pathology and artificial intelligence: focusing on lung cancer T Sakamoto, T Furukawa, K Lami, HHN Pham, W Uegami, K Kuroda, ... Translational Lung Cancer Research 9 (5), 2255, 2020 | 98 | 2020 |
| Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study JM Niehues, P Quirke, NP West, HI Grabsch, M van Treeck, Y Schirris, ... Cell reports Medicine 4 (4), 2023 | 65 | 2023 |
| MIXTURE of human expertise and deep learning—developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease W Uegami, A Bychkov, M Ozasa, K Uehara, K Kataoka, T Johkoh, ... Modern Pathology 35 (8), 1083-1091, 2022 | 39 | 2022 |
| Value of laboratory results in addition to vital signs in a machine learning algorithm to predict in-hospital cardiac arrest: A single-center retrospective cohort study R Ueno, L Xu, W Uegami, H Matsui, J Okui, H Hayashi, T Miyajima, ... PloS one 15 (7), e0235835, 2020 | 30 | 2020 |
| Pembrolizumab-induced pneumonitis with a perilymphatic nodular pattern in a lung cancer patient: a radio-pathologic correlation R Ueno, M Nemoto, W Uegami, J Fukuoka, M Misawa Respiratory medicine case reports 26, 168-170, 2019 | 14 | 2019 |
| Standardized classification of lung adenocarcinoma subtypes and improvement of grading assessment through deep learning K Lami, N Ota, S Yamaoka, A Bychkov, K Matsumoto, W Uegami, ... The American Journal of Pathology 193 (12), 2066-2079, 2023 | 8 | 2023 |
| Early prediction model of organ/space surgical site infection after elective gastrointestinal or hepatopancreatobiliary cancer surgery J Okui, R Ueno, H Matsui, W Uegami, H Hayashi, T Miyajima, H Kusanagi Journal of Infection and Chemotherapy 26 (9), 916-922, 2020 | 6 | 2020 |
| Rapidly growing neuroendocrine carcinoma of the gallbladder: A case report G Fujimoto, S Yamada, H Kusanagi, W Uegami Radiology Case Reports 15 (3), 259-265, 2020 | 6 | 2020 |
| Artificial Intelligence and Lung Pathology E Caranfil, K Lami, W Uegami, J Fukuoka Advances in Anatomic Pathology, 10.1097, 2024 | 3 | 2024 |
| Effect of the 2020 hypersensitivity pneumonitis guideline on the pathologic diagnosis of interstitial pneumonia M Ozasa, A Bychkov, Y Zaizen, K Tabata, W Uegami, Y Yamano, ... Scientific Reports 13 (1), 9318, 2023 | 1 | 2023 |
| Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis. K Uehara, W Uegami, H Nosato, M Murakawa, J Fukuoka, H Sakanashi AAAI Spring Symposium: MAKE, 2022 | 1 | 2022 |
| Ensemble Distillation of Divergent Opinions for Robust Pathological Image Classification K Uehara, W Uegami, H Nosato, M Murakawa, J Fukuoka, H Sakanashi 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Machine-Learning-Based Classification Model to Address Diagnostic Challenges in Transbronchial Lung Biopsy H Sano, EN Okoshi, Y Tachibana, T Tanaka, K Lami, W Uegami, Y Ohta, ... Cancers 16 (4), 731, 2024 | | 2024 |
| Mediastinal abscess and bacteremia due to Streptococcus dysgalactiae complicated by aorto-esophageal fistula leading to death with massive bleeding in a 70-year-old Japanese … K Oshima, Y Sugano, A Yoshida, W Uegami, N Van Sickels, T Kobayashi, ... IDCases 38, e02078, 2024 | | 2024 |
| Explainable artificial intelligence model, MIXTURE, predicts equivalent prognostic value of UIP to worldwide expert pathologists Y Nei, W Uegami, R Attanoos, A Cavazza, AM Marchevsky, F Schneider, ... RESPIROLOGY 28, 18-20, 2023 | | 2023 |
| The concept of UIP Bucket: Usual interstitial pneumonia (UIP) as the core histology of progressive pulmonary fibrosis (PPF) across different etiologies J Fukuoka, Y Tsushima, Y Nei, W Uegami, Y Yamano, K Kataoka, ... RESPIROLOGY 28, 63-64, 2023 | | 2023 |
| Distribution of UIP Fibrosis Is Accentuated Around Lymphatics-Analysis by a Deep Learning Model Y Nei, W Uegami, E Okoshi, J Fukuoka A69. AN IMAGE'S WORTH: STUDIES IN LUNG IMAGING, A2318-A2318, 2023 | | 2023 |
| Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis K Uehara, W Uegami, H Nosato, M Murakawa, J Fukuoka, H Sakanashi 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |
| Deep learning for histopathological subtyping and grading of lung adenocarcinoma K Lami, N Ota, S Yamaoka, A Bychkov, K Matsumoto, W Uegami, ... bioRxiv, 2022.11. 02.514811, 2022 | | 2022 |
| Developing an explainable AI model for diagnosis and prognosis in interstitial lung disease W Uegami, K Uehara, A Bychkov, M Ozasa, EN Okoshi, T Johkoh, ... Journal of Pathology Informatics 13, 100070, 2022 | | 2022 |