Papers - KAMATA Kosuke
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Dismal Outcome of EBV-Positive Nodal T/NK-Cell Lymphoma: A Multicenter Retrospective Study
Ichikawa, S; Fukuhara, N; Katsuoka, Y; Ishizawa, Y; Kamata, K; Fukatsu, M; Nagao, T; Murai, K; Yokoyama, H; Tamai, Y; Ikezoe, T; Ichinohasama, R; Ito, S; Takahashi, N; Harigae, H
CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 26 ( 3 ) e376 - e384 2026.3
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Differentiation performance of artificial intelligence models using deep learning in lymphocyte morphology recognition: Potential of artificial intelligence in lymphocytosis analysis
NOZAKA Hiroyuki, KUSHIBIKI Mihoko, OGASAWARA Shu, KAWASHIMA Kentaro, ISHIYAMA Masahiro, UENO Hiroki, KAMATA Kosuke, YAMAGATA Kazufumi
Japanese Journal of Medical Technology 74 ( 2 ) 293 - 303 2025.4
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APPROACH TO DIFFERENTIATION OF LYMPHOCYTOSIS USING ENSEMBLE AI MODELS IN PERIPHERAL BLOOD SMEAR SCREENING
Nozaka, H; Tamazawa, M; Sato, S; Kushibiki, M; Ogasawara, S; Ishiyama, M; Kamata, K; Yamagata, K
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY 46 75 - 76 2024.12
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DIFFERENTIATION OF MYELOMA CELLS IN BONE MARROW SMEAR USING CONVOLUTIONAL NEURAL NETWORKS
Yamagata, K; Oka, M; Kudo, S; Kushibiki, M; Ogasawara, S; Ishiyama, M; Kamata, K; Nozaka, H
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY 46 117 - 117 2024.12
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APPROACH TO RECOGNITION OF IMMATURE GRANULOCYTES USING ENSEMBLE AI MODELS IN PERIPHERAL BLOOD SMEAR SCREENING
Nozaka, H; Tamazawa, M; Sato, S; Kushibiki, M; Ogasawara, S; Ishiyama, M; Kamata, K; Yamagata, K
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY 46 76 - 76 2024.12
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An experience of pola-R-CHP regimen for DLBCL patients at our hospital
Takahata, T; Sato, E; Tsurumoto, T; Yamashita, S; Ebina, T; Tachita, T; Kamata, K; Yamagata, K; Tamai, Y; Sakuraba, H
ANNALS OF ONCOLOGY 35 S1365 - S1365 2024.10
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初回寛解導入療法前から抗HPA-5a同種抗体による血小板輸血不応状態を認めた 急性骨髄性白血病の1例
山口公平、間山 恒、石黒 陽、鎌田耕輔、櫻庭裕丈、久保恒明、玉井佳子
日本輸血細胞治療学会誌 70 ( 4 ) 509 - 514 2024.8
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Approach to Recognition of Immature Granulocytes Using Deep Learning in Peripheral Blood Smear Screening
H Nozaka, M Kushibiki, K Kamata, K Yamagata
Japanese Journal of Medical Technology 73 ( 1 ) 69 - 77 2024.1
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Approach to recognition of immature granulocytes using deep learning in peripheral blood smear screening: The potential of AI models using a convolution neural network for blood cell morphology classification
NOZAKA Hiroyuki, KUSHIBIKI Mihoko, KAMATA Kosuke, YAMAGATA Kazufumi
Japanese Journal of Medical Technology 73 ( 1 ) 69 - 77 2024.1
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Influence of CYP3A5 and ABCB1 polymorphisms on the pharmacokinetics of vincristine in adult patients receiving CHOP therapy
Junichi Nakagawa, Takenori Takahata, Yu Chen, Kensuke Saito, Kosuke Kamata, Takuto Tachita , Satoru Yamashita, Keigo Saito, Kayo Ueno, Atsushi Sato, Hirotake Sakuraba, Takenori Niioka
Cancer chemotherapy and pharmacology 92 ( 5 ) 391 - 398 2023.11
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APPROACH TO DETECTION OF ATYPICAL LYMPHOCYTES WITH DEEP LEARNING IN PERIPHERAL BLOOD SMEAR SCREENING CLINICAL APPLICATION POTENTIAL OF HEMATOLOGICAL MORPHOLOGY CLASSIFICATION AI MODEL
Nozaka, H; Souma, S; Hirano, S; Nakano, M; Fujioka, M; Kushibiki, M; Ogasawara, S; Ishiyama, M; Kamata, K; Yamagata, K
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY 45 85 - 86 2023.9
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APPROACH TO DETECTION OF ABNORMAL LYMPHOCYTE WITH DEEP LEARNING IN PERIPHERAL BLOOD SMEAR SCREENING THE POTENTIAL OF AI TECHNOLOGY FOR ACUTE LYMPHOCYTIC LEUKEMIA IN HEMATOLOGICAL MORPHOLOGY ANALYSIS
Nozaka, H; Souma, S; Hirano, S; Nakano, M; Fujioka, M; Kushibiki, M; Ogasawara, S; Ishiyama, M; Kamata, K; Yamagata, K
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY 45 86 - 87 2023.9
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The Effectiveness of Data Augmentation for Mature White Blood Cell Image Classification in Deep Learning — Selection of an Optimal Technique for Hematological Morphology Recognition —
NOZAKA Hiroyuki, KAMATA Kosuke, YAMAGATA Kazufumi
IEICE Transactions on Information and Systems E106.D ( 5 ) 707 - 714 2023.5
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The effectiveness of data augmentation for mature white blood cell image classification in deep learning – Selection of optimal technique in hematological morphology recognition -.
H Nozaka, K Kamata, K Yamagata
IEICE TRANSACTIONS on Information and Systems 2023.5
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Newly diagnosed extranodal NK/T-cell lymphoma, nasal type, at the injected left arm after BNT162b2 mRNA COVID-19 vaccination
Takuto Tachita, Takenori Takahata, Satoru Yamashita, Toru Ebina, Kosuke Kamata, Kazufumi Yamagata, Yoshiko Tamai, Hirotake Sakuraba
International Journal of Hematology 118 ( 4 ) 503 - 507 2023.4
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Classifying Microscopic Images of Reactive Lymphocytosis Using Two-Step Tandem AI Models
H Nozaka, M Kushibiki, K Kamata, K Yamagata
Applied Sciences 13 ( 9 ) 5296 2023.4
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Classifying Microscopic Images of Reactive Lymphocytosis Using Two-Step Tandem AI Models
Nozaka, H; Kushibiki, M; Kamata, K; Yamagata, K
APPLIED SCIENCES-BASEL 13 ( 9 ) 2023.4
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APPROACH TO AUTOMATED DETECTION OF ATYPICAL LYMPHOCYTES IN PERIPHERAL BLOOD SMEAR SCREENING - THE POTENTIAL OF HYBRID AI MODELS FOR HEMATOLOGICAL MORPHOLOGY DIFFERENTIATION -
Nozaka, H; Kaga, S; Sakaiya, N; Kimura, S; Kushibiki, M; Ogasawara, S; Ishiyama, M; Nakano, M; Fujioka, M; Kamata, K; Yamagata, K
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY 45 129 - 130 2023.1
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APPROACH TO IMMATURE GRANULOCYTES DISCRIMINATION WITH CONVOLUTIONAL NEURAL NETWORK IN PERIPHERAL BLOOD SMEAR SCREENING
Nozaka, H; Kimura, S; Kaga, S; Sakaiya, N; Kushibiki, M; Ogasawara, S; Ishiyama, M; Nakano, M; Fujioka, M; Kamata, K; Yamagata, K
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY 45 130 - 131 2023.1
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Clinicopathological feature of T-cell lymphoma in our institute
Takahata, T; Tachita, T; Yamashita, S; Ebina, T; Kamata, K; Chen, Y; Saito, K; Sato, A; Yamagata, K; Tamai, Y; Fukuda, S
ANNALS OF ONCOLOGY 33 S537 - S537 2022.7