Rchr
J-GLOBAL ID：201301034718657426
Update date: Apr. 19, 2024
Wada Akihiko
Wada Akihiko
Research keywords (3)：
Machine Learning
, MRI
, 核磁気共鳴画像
Research theme for competitive and other funds (4)：
- 2022 - 2025 Development of a diagnostic imaging system with abnormality detection by learning "normality" and a " instructive" structure.
- 2018 - 2022 Investigation of the descending pain inhibitory system in the chronic pain using brain network analysis
- 2005 - 2007 Line-Scan法を用いた脳幹部・脊髄のFiber Tracking
- 2001 - 2004 Detection of Early Alzheimer Disease with Automated Brain Volume Measurement Using MR Images
Papers (66)：
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Rukeye Tuerxun, Koji Kamagata, Yuya Saito, Christina Andica, Kaito Takabayashi, Wataru Uchida, Seina Yoshida, Junko Kikuta, Hiroki Tabata, Hitoshi Naito, et al. Assessing interstitial fluid dynamics in type 2 diabetes mellitus and prediabetes cases through diffusion tensor imaging analysis along the perivascular space. Frontiers in Aging Neuroscience. 2024. 16
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Akifumi Hagiwara, Yuji Tomizawa, Yasunobu Hoshino, Kazumasa Yokoyama, Koji Kamagata, Towa Sekine, Kaito Takabayashi, Moto Nakaya, Tomoko Maekawa, Toshiaki Akashi, et al. Glymphatic System Dysfunction in Myelin Oligodendrocyte Glycoprotein Immunoglobulin G Antibody-Associated Disorders: Association with Clinical Disability. AJNR. American journal of neuroradiology. 2023. 45. 1. 66-71
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Yuya Saito, Koji Kamagata, Christina Andica, Norihide Maikusa, Wataru Uchida, Kaito Takabayashi, Seina Yoshida, Akifumi Hagiwara, Shohei Fujita, Toshiaki Akashi, et al. Traveling Subject-Informed Harmonization Increases Reliability of Brain Diffusion Tensor and Neurite Mapping. Aging and disease. 2023
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Akihiko Wada, Toshiaki Akashi, Akifumi Hagiwara, Mitsuo Nishizawa, Keigo Shimoji, Junko Kikuta, Tomoko Maekawa, Katsuhiro Sano, Koji Kamagata, Atsushi Nakanishi, et al. Deep Learning-Driven Transformation: A Novel Approach for Mitigating Batch Effects in Diffusion MRI Beyond Traditional Harmonization. Journal of Magnetic Resonance Imaging. 2023
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Koji Kamagata, Christina Andica, Wataru Uchida, Kaito Takabayashi, Yuya Saito, Matthew Lukies, Akifumi Hagiwara, Shohei Fujita, Toshiaki Akashi, Akihiko Wada, et al. Advancements in Diffusion MRI Tractography for Neurosurgery. Investigative Radiology. 2023
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MISC (201)：
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Tuerxun Rukeye, 鎌形康司, Andica Christina, 内田航, 斎藤勇哉, 高林海斗, 加賀英義, 染谷由希, 明石敏昭, 和田昭彦, et al. ALPS-indexを用いた糖尿病と糖尿病前期の病態におけるGlymphatic systemの評価[大会長賞記録]. 日本磁気共鳴医学会雑誌(Web). 2023. 43. 2
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ザミラ・マハムチ, 吉岡 直紀, 高林 海斗, 和田 昭彦, 原田 顕子, 阿部 正裕, 斎藤 勇哉, 小池 正人, 青木 茂樹. ディープラーニングを用いた、脳標本切片画像の解剖名自動割り当てシステムの開発. 医学教育. 2022. 53. Suppl. 182-182
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赤津 敏哉, 池之内 穣, 鈴木 通真, 高野 直, 和田 昭彦, 新井 晶, 福地 治之, 大石 英則, 近藤 聡英, 青木 茂樹. 脳動脈瘤に対するFlow Diverter留置後評価におけるUltrashort TE 4D-MR Angiographyの有用性. CI研究. 2022. 44. 1. 47-52
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村田 渉, 鈴木 通真, 池之内 穣, 和田 昭彦, 高野 直, 新井 晶, 福永 一星, 大石 英則, 近藤 聡英, 青木 茂樹. 脳動静脈奇形に対するUltrashort TE 4D-MR angiographyを用いた治療効果の評価. CI研究. 2022. 44. 1. 41-46
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赤津敏哉, 赤津敏哉, 池之内穣, 鈴木通真, 高野直, 和田昭彦, 新井晶, 福地治之, 大石英則, 近藤聡英, et al. Usefulness of Ultrashort TE 4D-MR Angiography in the Evaluation of Intracranial Aneurysms after Flow Diverter Implantation. CI研究. 2022. 44. 1
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Association Membership(s) (4)：
欧州神経放射線学会
, 北米放射線学会
, 日本神経放射線学会
, 日本磁気共鳴医学会
