研究業績

著書

    論文

    • Kazuki Fujimori, Bisser Raytchev, Kazufumi Kaneda∗ Yasufumi Yamada, Yu Teshima, Emyo Fujioka, Shizuko Hiryu, Toru Tamaki. Localization of Flying Bats from Multichannel Audio Signals by Estimating Location Map with Convolutional Neural Networks, Journal of Robotics and Mechatronics, Vol. 33 No. 3, pp. 515-525, 2021.online
    • Masuda T, Higaki T, Nakaura T, Funama Y, Matsumoto Y, Sato T, Okimoto T, Gotanda R, Arao K, Imaizumi H, Arao S, Hiratsuka J, Awai K. Usefulness of the patient-specific contrast enhancement optimizer simulation software during the whole-body computed tomography angiography. Heart Vessels. 2022 Jan 13. doi: 10.1007/s00380-022-02024-z. Online ahead of print.
    • Masuda T, Nakaura T, Higaki T, Funama Y, Sato T, Masuda S, Yoshiura T, Arao S, Hiratsuka J , Hirai T, Awai K. Prediction of aortic contrast enhancement on dynamic hepatic CT ? performance comparison of machine-learning methods and simulation software. J Comput Assist Tomogr. 2021; in press.

    解説

    • 檜垣徹，立神史稔，中村優子，粟井和夫．深層学習を応用した画像再構成法． Heart View. Vol.25, No.11, pp.1060-1064, 2021. online
    • 檜垣 徹．被ばく低減画像再構成法の進化．INNERVISION. 2021; 36（別冊付録）: 2-3. online
    • Tatsugami F, Higaki T, Nakamura Y, Honda Y, Awai K. Dual-energy CT: Minimal essentials for radiologists. Jpn J Radiol. 2022 Jan 4. doi: 10.1007/s11604-021-01233-2. Online ahead of print.
    • 檜垣徹．特別企画「My favorite item」Best 7．Rad Fan. 2022; 20(1): 12-13．
    • 檜垣徹．ここが知りたい！CT再入門 -新技術で何がわかる？-. 画像診断. 2022; 42(1): 94-96.
    • 檜垣徹．RSNA2021の動向．Rad Fan．2022; 20(2): 30-32．

    国際学会

    • Masahiro Sakamoto, Kazufumi Kaneda, Raytchev Bisser. Spectral Super-Resolution Using CNN Decomposing a Color Image into Luminance and Chrominance Components, Proceedings of The 7th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2021), Online, Sep. 8-11, 2021.
    • Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fukumoto W, Awai K. Accuracy of CT number on virtual non-contrast enhanced images generated from stochastic material decomposition. 107th Scientific Assembly and Annual Meeting of RSNA, Scientific Paper. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Higaki T, Kondo S, Teramoto F, Tsuchida R, Takahashi I, Yoshida R, Goto T, Nakamura Y, Awai K. Physical characteristics of a new photon-counting detector CT: comparison of the spatial resolution with that on conventional energy-integrated detector CT scans. 107th Scientific Assembly and Annual Meeting of RSNA, Scientific Paper. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Higaki T, Yokomachi K, Fujioka C, Nishimaru E, Nakamura Y, Awai K. Measurement of directional task-based modulation transfer function at abdominal CT: a phantom study. 107th Scientific Assembly and Annual Meeting of RSNA, Scientific Poster. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Higaki T, Kondo S, Yokoi K, Kojima S, Takahashi I, Aoki Y, Watanabe F, Nakamura Y, Awai K. Physical characteristics of a new photon-counting detector CT scanner: comparison of the contrast-to-noise ratio and the noise power spectrum with those on conventional energy-integrated detector CT. 107th Scientific Assembly and Annual Meeting of RSNA, Scientific Poster. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Higaki T, Tatsugami F, Matsuura M, Taguchi H, Tsushima S, Nakamura Y, Awai K. Super-resolution deep learning reconstruction at CT: a phantom study for coronary CT angiography. 107th Scientific Assembly and Annual Meeting of RSNA, Scientific Poster. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Tsushima S, Taguchi H, Matsuura M, Awai K. Various applications of deep learning-based reconstruction at CT: denoise, dual-energy CT, and super-resolution. 107th Scientific Assembly and Annual Meeting of RSNA, Educational Exhibit. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Narita K, Nakamura Y, Higaki T, Kondo S, Honda Y, Kawashita I, Awai K. Deep learning based spectral CT imaging for quantifying contrast medium enhancement and washout in hepatocellular carcinomas: comparison of iodine maps and virtual monochromatic images. 107th Scientific Assembly and Annual Meeting of RSNA 2021. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Kondo S, Higaki T, Nakamura Y, Takahashi I, Goto T, Awai K. Easy introduction of the photon counting detector CT (PCD-CT) for radiologists. 107th Scientific Assembly and Annual Meeting of RSNA, Educational Exhibit. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Sueoka T, Kawashita I, Higaki T, Honda Y, Nishihara T, Tatsugami F, Nakamura Y, Awai K. A new MRI technique for the detailed inspection of compact bone: phantom and preliminary clinical study. 107th Scientific Assembly and Annual Meeting of RSNA 2021. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Tatsugami F, Higaki T, Matsuura M, Taguchi H, Tsushima S, Awai K. Improvement of spatial resolution by using super-resolution deep learning reconstruction at coronary CT angiography. 107th Scientific Assembly and Annual Meeting of RSNA 2021. McCormick Place, Chicago, USA, Nov.28-Dec.2, 2021 (hybrid).
    • Kota Hashimoto, Toru Higaki, Raytchev Bisser Roumenov, Kazufumi Kaneda.Real-time volume rendering running on an AR device in medical applications.Proc. International Workshop on Advanced Image Technology 2022 (IWAIT 2022), pp. 1-6, Hong Kong, Jan. 4-6, 2022 (hybrid).online
    • Yuki Mikamoto, Masahiro Sakamoto, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda. Multiple-Branch Deep Neural Network for Spectral Super-Resolution. Proc. the 28th International Workshop on Frontiers of Computer Vision (IW-FCV 2022), pp. 123-130, Hiroshima Feb. 21-22, 2022 (online).
    • Sora Iwamoto, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda, Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning, Proceedings of 3rd International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE 2021) in conjunction with MICCAI 2021, Springer LNCS, vol. 12959, pp. 34–43, 1 October 2021. online

    研究会・ワークショップ・全国大会

    • 丸山虎実輝, Bisser Raychev, 金田和文, 玉木徹．弱教師ありのアクション区間検出のための プロトタイプを用いた説明可能なネットワーク．第24回 画像の認識・理解シンポジウム (MIRU2021), ポスター, オンライン 2021/7/27-30.
    • 藤井渉, Bisser Raytchev, 金田和文, 玉木徹．動作認識のための時空間特徴における時間的相互作用．第24回 画像の認識・理解シンポジウム (MIRU2021), ポスター, オンライン 2021/7/27-30.
    • 若杉智也, Bisser Raytchev, 金田和文, 馬場雅志. 異なる光源下における水中画像の色調補正に関する検討(続報). 画像電子学会 第299回研究会 in 松山, 予稿 pp. 1-7 (2022.02.27-28) (hybrid).
    • 片山 航輔，檜垣 徹，金田 和文，ビセル ライチェフ，福本 航．散乱と有色な影を考慮したリアリスティックボリュームレンダリング情報処理学会 185回コンピュータグラフィックスとビジュアル情報学研究会online
    • 樫原佑哉, Bisser Raytchev, 金田和文, 檜垣徹,Transformerによる含意生成とその評価，言語処理学会第28回年次大会（NLP2022），PT3-9，(2022年3月14～18日).

    その他

    • 檜垣 徹．被ばく低減画像再構成法の進化．Global Standard CT Symposium 2021 Online, 2021/10/9.online
    • 檜垣 徹．放射線科領域のデジタル機器の進歩 〜CT装置の進歩と様々なAI技術〜．第60回広島県歯科医学会 併催 第105回広島大学歯学会例会，2021.11.14，広島． online
    • 檜垣 徹．Deep Learning Reconstruction のこれまでと新たな可能性．第17回中四国放射線医療技術フォーラム（CSFRT2021）共催セミナー2 2021/12/18， オンライン開催 online