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Copy file name to clipboardExpand all lines: src/pages/index.astro
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<h2>研究</h2>
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<p>主に統計や AI をやっています。</p>
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<ul>
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<li>Atsushi Komaba, Hisashi Johno, and Kazunori Nakamoto (2023). A novel statistical approach for two-sample testing based on the overlap coefficient. <i>Journal of Mathematical Sciences, The University of Tokyo</i>, 30(2):205–240.</li>
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<li>Ryota Tozuka, Hisashi Johno, Akitomo Amakawa, Junichi Sato, Mizuki Muto, Shoichiro Seki, Atsushi Komaba, and Hiroshi Onishi (2024). Application of NotebookLM, a large language model with retrieval‑augmented generation, for lung cancer staging. <i>Japanese Journal of Radiology</i>, 43:706–712.</li>
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<li>Hisashi Johno, Yuki Johno, Akitomo Amakawa, Junichi Sato, Ryota Tozuka, Atsushi Komaba, Hiroaki Watanabe, Hiroki Watanabe, Chihiro Goto, Hiroyuki Morisaka, Hiroshi Onishi and Kazunori Nakamoto (2026). Enhancing pancreatic cancer staging with large language models: the role of retrieval-augmented generation. <i>Radiological Physics and Technology</i>, 19:593–603.</li>
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<li>Atsushi Komaba, Hisashi Johno, and Kazunori Nakamoto (2026). Extension of the one-sample Kolmogorov-Smirnov test. <i>Journal of Mathematical Sciences, The University of Tokyo</i>, 33(2):127–160.</li>
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<li><spanclass="underline">Atsushi Komaba</span>, Hisashi Johno, and Kazunori Nakamoto (2023). A novel statistical approach for two-sample testing based on the overlap coefficient. <i>Journal of Mathematical Sciences, The University of Tokyo</i>, 30(2):205–240.</li>
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<li>Ryota Tozuka, Hisashi Johno, Akitomo Amakawa, Junichi Sato, Mizuki Muto, Shoichiro Seki, <spanclass="underline">Atsushi Komaba</span>, and Hiroshi Onishi (2024). Application of NotebookLM, a large language model with retrieval‑augmented generation, for lung cancer staging. <i>Japanese Journal of Radiology</i>, 43:706–712.</li>
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<li>Hisashi Johno, Yuki Johno, Akitomo Amakawa, Junichi Sato, Ryota Tozuka, <spanclass="underline">Atsushi Komaba</span>, Hiroaki Watanabe, Hiroki Watanabe, Chihiro Goto, Hiroyuki Morisaka, Hiroshi Onishi, and Kazunori Nakamoto (2026). Enhancing pancreatic cancer staging with large language models: the role of retrieval-augmented generation. <i>Radiological Physics and Technology</i>, 19:593–603.</li>
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<li><spanclass="underline">Atsushi Komaba</span>, Hisashi Johno, and Kazunori Nakamoto (2026). Extension of the one-sample Kolmogorov-Smirnov test. <i>Journal of Mathematical Sciences, The University of Tokyo</i>, 33(2):127–160.</li>
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<li>Hisashi Johno, Akitomo Amakawa, <spanclass="underline">Atsushi Komaba</span>, Ryota Tozuka, Yuki Johno, Junichi Sato, Kentaro Yoshimura, Kazunori Nakamoto, and Shintaro Ichikawa (2026). Open-source offline-deployable retrieval-augmented large language model for assisting pancreatic cancer staging. <i>Japanese Journal of Radiology</i>.</li>
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