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Scientific Reports|February 21, 2024
New generative methods for single-cell transcriptome data in bulk RNA sequence deconvolutionToui Nishikawa, Masatoshi Lee, Masataka AmauPathology, Research and Practice|May 13, 2026
Precursor flat urothelial lesions: Molecular landscape, pathogenesis, and biological insightsFidele Y Musangile, Ibu Matsuzaki, Toui Nishikawa, et al.American Journal of Clinical Pathology|October 5, 2022
Pathologic Image Classification of Flat Urothelial Lesions Using Pathologic Criteria-Based Deep LearningToui Nishikawa, Ryuta Iwamoto, Ibu Matsuzaki, et al.The American Journal of Pathology|November 7, 2022
Use of Artificial Intelligence for the Interpretable Prediction of the Pathologic Diagnosis and Molecular Abnormalities of Flat Urothelial LesionsToui Nishikawa, Ibu Matsuzaki, Iwamoto Ryuta, et al.Endocrine Pathology|January 2, 2024
Artificial Intelligence Detected the Relationship Between Nuclear Morphological Features and Molecular Abnormalities of Papillary Thyroid CarcinomaToui Nishikawa, Ibu Matsuzaki, Ayata Takahashi, et al.Computers in Biology and Medicine|June 19, 2024
Small sized centroblasts as poor prognostic factor in follicular lymphoma - Based on artificial intelligence analysisRyuta Iwamoto, Toui Nishikawa, Fidele Yambayamba Musangile, et al.Pageof 1