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Image Processing Research Team, Center for Advanced Photonics, RIKEN

Publication and Presentation List

Remarks

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• International Journal Papers:

  2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004

• International Conference Papers (Refereed Paper):

  2024 2023 2022 2021 2020 2019 2018 2017 2016 2014 2013 2012 2010 2009 2008 2007 2004 2003

• International Invited Talks, Conferences, Symposiums, and Workshops:

  2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004

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International Journal Papers

• 2024:
  • S. Yoshizawa and H. Yokota, "Topological Delaunay Graph for Efficient 3D Binary Image Analysis", International Journal of Automation Technology, Vol. 18(5):632-650, 2024.
  • S. Kawasaki, N. Yamashita, S. Morita, and H. Yokota, "Observation of chip-producing behavior in ultraprecision diamond cutting of additively manufactured Alloy 718 utilizing ultrasonic elliptical vibration", Journal of Advanced Mechanical Design, Systems and Manufacturing, Vol. 18(4):23-00545, 2024.
  • T. Uematsu, T. Tsuboi, K. Hiraga, D. Tamakoshi, T. Fukushima, M. Sato, K. Nishida, H. Yokota, and M. Katsuno, "Differential impact of fixation characteristics on 3D perception via texture gradient recognition in Parkinson's disease", Parkinsonism & Related Disorders, vol. 128: 107116, 2024.
  • T. Takamatsu, R. Fukushima, K. Sato, M. Umezawa, H. Yokota, K. Soga, A. Hernandez-Guedes, G. Callico, and H. Takemura, "Development of a visible to 1600 nm hyperspectral imaging rigid-scope system using supercontinuum light and an acousto-optic tunable filter", Optics Express, Vol. 32(9): 16090-16102, 2024.
  • S. Chu, K. Abe, H. Yokota, D. Cho, Y. Hayashi, M.-D. Tsai, "Deep learning for quantifying spatial patterning and formation process of early differentiated human-induced pluripotent stem cells with micropattern images", Journal of Microscopy, Vol. XXX: 1-15, 2024.
  • M. Fukatsu, S. Yoshizawa, H. Takemura, and H. Yokota, "Bilateral Half-box Image Filtering", International Journal of Automation Technology, Letter, Vol. 18(3):427-432, 2024.
  • S. Sasaki, T.Mori, H. Enomoto, S. Nakamura, H. Yokota, H. Yamashita, and N. Goto-Inoue, "Assessing Molecular Localization of Symbiont Microalgae in Coral Branches Through Mass Spectrometry Imaging", Mar. Biotechnol., Vol. 26: 223-229, 2024.
• 2023:
  • J. Wang, E. Maeda, Y. Tsujimura, T. Abe, H. Kiyonari, T. Kitaguchi, H. Yokota, and T. Matsumoto, “In situ FRET measurement of cellular tension using conventional confocal laser microscopy in newly established reporter mice expressing actinin tension sensor”, Scientific Reports, 13: 22729, 2023.
  • S. Takemoto, K. Hori, S. Yoshimasa, M. Nishimura, K. Nakajo, A. Inaba, M. Sasabe, N. Aoyama, T. Watanabe, N. Minakata, H. Ikematsu, H. Yokota, and T. Yano, "Computer-aided demarcation of early gastric cancer: a pilot comparative study with endoscopists", J Gastroenterol, Vol. 58(8):741-750, 2023.
  • T. Mitsui, A. Mori, T. Takamatsu, T. Kadota, K. Sato, R. Fukushima, K. Okubo, M. Umezawa, H. Takemura, H. Yokota, T. Kuwata, T. Kinoshita, H. Ikematsu, T. Yano, S. Maeda, and K. Soga, "Evaluating the identification of the extent of gastric cancer by over-1000 nm near-infrared hyperspectral imaging using surgical specimens", Journal of Biomedical Optics, Vol. 28(8): 086001, 2023.
  • M. Umebayashi, S. Takemoto, L. Reymond, M. Sundukova, R. Hovius, A. Bucci, P. Heppenstall, H. Yokota, K. Johnsson, and H. Riezman, "A covalently-linked probe to monitor local membrane properties surrounding plasma membrane proteins", Journal of Cell Biology, Vol. 222(3): e202206119, 2023.
  • S.-L. Chu, K. Sudo, H. Yokota, K. Abe, Y. Nakamura, and M.-D. Tsai, "Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods", Computer Methods and Programs in Biomedicine, Vol. 229, 107264, 2023.
  • M.-S. Hsieh, H. Yokota, and M.-D. Tsai, "Volume Manipulations for Assisting Joint Surgery Diagnoses and Simulations", Journal of Information Science and Engineering, Vol. 39(5):1155-1168, 2023.
  • R. Hu, V. Monebhurrun, R. Himeno, H. Yokota, and F. Costen, "An Uncertainty Analysis on Finite Difference Time-Domain Computations With Artificial Neural Networks: Improving accuracy while maintaining low computational costs", IEEE Antennas and Propagation Magazine, Vol. 65(1): 60-70, 2023.
• 2022:
  • P. Jing, S. Ii, X. Wang, K. Sugiyama, S. Noda, and X. Gong, "Effects of fluid–cell–vessel interactions on the membrane tensions of circulating tumor cells in capillary blood flows", Physics of Fluids, Vol. 34, 031904, 2022.
  • N. Ando, T. Kono, N. Ogihara, S. Nakamura, H. Yokota, and R. Kanzaki, "Modeling musculoskeletal system of insect thorax for flapping flight", Bioinspiration & Biomimetics, 2022.
  • N. Yamashita, T. Matsuno, D. Maeda, M. Kikuzuki, and H. Yokota, "Efficient 3D observation of steel microstructure using serial sectioning with precision cutting and on-site etching", Precision Engineering, Vol. 75: 37-45, 2022.
  • N. Tamura, S. Goto, H. Yokota, and S. Goto, "Contributing role of mitochondrial energy metabolism on platelet adhesion, activation and thrombus formation under blood flow conditions", Platelets, Vol. 33(7):1083-1089, 2022.
  • T. Furukawa, S. Oyama, H. Yokota, Y. Kondoh, K. Kataoka, T. Johkoh, J. Fukuoka, N. Hashimoto, K. Sakamoto, Y. Shiratori, and Y. Hasegawa, "A comprehensible machine learning tool to differentially diagnose idiopathic pulmonary fibrosis from other chronic interstitial lung diseases", Respirology, Vol. 27(9):739-746, 2022.
  • M. Takematsu, M. Umezawa, T. Sera, Y. Kitagawa, H. Kurahashi, S. Yamada, K. Okubo, M. Kamimura, H. Yokota, and K. Soga, "Influence of the difference in refractive index on the interface of an object and the surroundings in near-infrared fluorescence tomography", Applied Optics, Vol. 61(2): 638-644, 2022.
  • S.-L. Chu,K. Abe, H. Yokota, and M.-D. Tsai, "RECURRENT NEURAL NETWORK FOR MONITORING MOUSE EMBRYONIC STEM CELL COLONY IN VITRO USING TIME-LAPSE FLUORESCENCE MICROSCOPY IMAGES", Biomedical Engineering: Applications, Basis and Communications, 2022.
  • R. Hu, V. Monebhurrun, R. Himeno, H. Yokota, and F. Costen, "A General Framework for Building Surrogate Models for Uncertainty Quantification in Computational Electromagnetics", IEEE Transactions on Antennas and Propagation, vol. 70(2): 1402-1414, 2022.
• 2021:
  • S. Yoshizawa and H. Yokota, "Fast and Faithful Scale-Aware Image Filters", The Visual Computer, vol. 37(12): 3051-3062, 2021.
  • T. Michikawa, T. Yoshida, S. Kuroki, T. Ishikawa, S. Kakei, R. Kimizuka, A. Saito, H. Yokota, A. Shimizu, S. Itohara, and A. Miyawaki, "Distributed sensory coding by cerebellar complex spikes in units of cortical segments", Cell Reports, Vol. 37(6):109966, 2021.
  • L. Xanthos, M. E. Yavuz, R. Himeno, H. Yokota, and F. Costen, "Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments", IEEE Transactions on Computational Imaging, vol. 7: 925-934, 2021.
  • K. Hori, H. Ikematsu, Y. Yamamoto, H. Matsuzaki, N. Takeshita, K. Shinmura, Y. Yoda, T. Kiuchi, S. Takemoto, H. Yokota, T. Yano, "Detecting colon polyps in endoscopic images using artificial intelligence constructed with automated collection of annotated images from an endoscopy reporting system", Digestive endoscopy, Vol. 34(5): 1021-1029, 2021.
  • S. Sonoda, H. Shiihara, H. Terasaki, N. Kakiuchi, R. Funatsu, M. Tomita, Y. Shinohara, E. Uchino, T. Udagawa, G. An, M. Akiba, H. Yokota, and T. Sakamoto, "Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence", PLoS ONE, Vol. 16, No. 5, e0251553, 2021.
  • G. An, M. Akiba, K. Omodaka, T. Nakazawa, and H. Yokota, "Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images", Scientific Reports, Vol. 11, Article number: 4250, 2021.
  • M. Yamamoto, S. Oyama, S. Otsuka, Y. Murakami, H. Yokota, and H. Hirata, "Author Correction: Experimental pilot study for augmented reality-enhanced elbow arthroscopy", Scientific Reports, Vol. 11, Article number: 10708, 2021.
  • R. Ando, T. Matsuno, T. Matsuda, N. Yamashita, H. Yokota, K. Goto, and I. Watanabe, "Analysis of Nano-hardness Distribution Near the Ferrite-martensite Interface in a Dual Phase Steel with Factorization of Its Scattering Behavior", ISIJ International, Vol. 61(1): 473-480, 2021.
  • T. Kitrungrotsakul, X.-X Han, Y. Iwamoto, S. Takemoto, H. Yokota, S. Ipponjima, T. Nemoto, X. Wei, and Y.-W. Chen, "A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 2, pp. 396-404, 2021.
  • A. Alkandari, J.-P. Berenger, R. Himeno, H. Yokota, and F. Costen, "Maloney and Smith Method for Modeling Debye-Media Thin Sheets in the FDTD Grid", IEEE Transactions on Antennas and Propagation, Vol. 69, No. 4, pp. 2209-2217, 2021.
  • T. Kitrungrotsakul, Y. Iwamoto, S. Takemoto, H. Yokota, S. Ipponjima, T. Nemoto, L. Lin, R. Tong, J. Li, and Y.-W. Chen, "Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images", BMC Bioinformatics Vol. 22, Article number: 91, 2021.
  • T. Takamatsu, Y. Kitagawa, K. Akimoto, R. Iwanami, Y. Endo, K. Takashima, K. Okubo, M. Umezawa, T. Kuwata, D. Sato, T. Kadota, T. Mitsui, H. Ikematsu, H. Yokota, K. Soga, and H. Takemura, "Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging", Sensors, Vol. 21, No. 8, 2649, 2021.
  • T. Funai, H. Kataoka, H. Yokota, and T. Suzuki, "Proposal and validation of polyconvex strain-energy function for biological soft tissues", Bio-Medical Materials and Engineering, Vol. 32, No. 3, pp. 131-144, 2021.
  • K. Akimoto, R. Ike, K. Maeda, N. Hosokawa, T. Takamatsu, K. Soga, H. Yokota, D. Sato, T. Kuwata, H. Ikematsu, and H. Takemura, "Wavelength Bands Reduction Method in Near-Infrared Hyperspectral Image based on Deep Neural Network for Tumor Lesion Classification", European Journal of Applied Sciences, Vol. 9, No. 1, pp. 273–281, 2021.
  • A. Yahata, H. Takemura, R. Iwanami, M. Umezawa, K. Okubo, K. Soga, T. Takamatsu, T. Mitsui, T. Kadota, T. Kuwata, H. Ikematsu, and H. Yokota, "Gastric Cancer Detection by Two-step Learning in Near-Infrared Hyperspectral Imaging", Journal of Information and Communication Engineering, Vol. 7 (2): 467-473, December 31, 2021
  • K. Fujisaki, N. Yamashita, and H. Yokota, "Multipoint indentation for material identification in three-dimensional observation based on serial sectioning", Precision Engineering, Vol. 69: 62-67, 2021.
• 2020:
  • R. Sakaguchi, T. Shiraiwa, P. Chivavibul, T. Kasuya, M. Enoki, N. Yamashita, H. Yokota, Y. Matsui, A. Kazama, K. Ozaki, H. Takamatsu, "Multiscale Analysis of MnS Inclusion Distributions in High Strength Steel", ISIJ International, Vol. 60(8): 1714-1723, 2020.
  • T. Matsuno, R. Ando, N. Yamashita, H. Yokota, K. Goto, and I. Watanabe, "Analysis of preliminary local hardening close to the ferrite-martensite interface in dual-phase steel by a combination of finite element simulation and nanoindentation test", International Journal of Mechanical Sciences, Vol. 180(15): 105663, 2020.
  • T. Kitrungrotsakul, X.-X Han, Y. Iwamoto, S. Takemoto, H. Yokota, S. Ipponjima, T. Nemoto, X. Wei, and Y.-W. Chen, "An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs", Neural Computing and Applications, Vol. 32, pp. 5669–5679, 2020.
  • K. Omodaka, S. Fujioka, G. An, T. Udagawa, S. Tsuda, Y. Shiga, S. Morishita, T. Kikawa, K. Pak, M. Akiba, H. Yokota, and T. Nakazawa, "Structural Characterization of Glaucoma Patients with Low Ocular Blood Flow", Current Eye Research, 2020.
  • N. Yamashita, M. Morita, H. Yokota, and Y. Mimori-Kiyosue, "Digital Spindle: A New Way to Explore Mitotic Functions by Whole Cell Data Collection and a Computational Approach", Cells, Vol. 9(5), 1255, 2020.
  • M. Umezawa, T. Sera, H. Yokota, M. Takematsu, M. Morita, G. Yeroslavsky, M. Kamimura, and K. Soga, "Computed tomography for in vivo deep over‐1000 nm near‐infrared fluorescence imaging", Journal of Biophotonics, 2020.
  • D. Sato, T. Takamatsu, M. Umezawa, Y. Kitagawa, K. Maeda, N. Hosokawa, K. Okubo, M. Kamimura, T. Kadota, T. Akimoto, T. Kinoshita, T. Yano, T. Kuwata, H. Ikematsu, H. Takemura, H. Yokota, and K. Soga, "Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging", Scientific Reports, Vol. 10, Article number: 21852, 2020.
  • T. Sera, S. Higa, Y. Zeshu, K. Takahi, S. Miyamoto, T. Fujiwara, H. Yokota, S. Sasaki, and S. Kudo, "A metabolic reaction-diffusion model for PKCα translocation via PIP2 hydrolysis in an endothelial cell", Biochemical Journal, Vol. 477, No. 20, pp. 4071–4084, 2020.
  • J. Inoue, M. Okada, H. Nagao, H. Yokota, and Y. Adachi, "Development of Data-Driven System in Materials Integration", MATERIALS TRANSACTIONS, Vol. 61, Issue 11, pp. 2058-2066, 2020.
  • T. Furukawa, S. Oyama, H. Yokota, Y. Kondoh, Y. Shiratori, and Y. Hasegawa, "Development Of A Machine Learning Combination With Deep Learning For Diagnosing Idiopathic Pulmonary Fibrosis In Chronic Interstitial Lung Disease", European Respiratory Journal, Vol. 56, 808, 2020.
• 2019:
  • S. Inagaki, M. Agetsuma, S. Ohara, T. Iijima, H. Yokota, T. Wazawa, Y. Arai, and T. Nagai, "Imaging local brain activity of multiple freely moving mice sharing the same environment", Scientific Reports, Vol 9, pp. 7460:1-9, 2019.
  • S. Takagi, S. Kudo, H. Yokota, M. Akiba, M. Mandai, Y. Hirami, M. Takahashi, Y. Kurimoto, and M. Ishida, "Assessment of the deformation of the outer nuclear layer in the Epiretinal membrane using spectral-domain optical coherence tomography", BMC Ophthalmology, Vol. 19, pp. 113:1-7, 2019.
  • S. Goto, H. Oka, K. Ayabe, H. Yabushita, M. Nakayama, T. Hasebe, H. Yokota, S. Takagi, M. Sano, and A. Tomita, S. Goto, "Prediction of binding characteristics between von Willebrand factor and platelet glycoprotein Ibα with various mutations by molecular dynamic simulation", Thrombosis Research, Vol. 184, pp. 129-135, 2019.
  • N. Motozawa, G. An, S. Takagi, S. Kitahata, M. Mandai, Y. Hirami, H. Yokota, M. Akiba, A. Tsujikawa, M. Takahashi, and Y. Kurimoto, "Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes", Ophthalmology and Therapy, Vol. 8, pp. 527–539, 2019.
  • T. Sera, H. Kuninaga, K. Fukasaku, H. Yokota, and M. Tanaka, "The effectiveness of an averaged airway model in predicting the airflow and particle transport through the airway, Journal of Aerosol Medicine and Pulmonary Drug Delivery, Vol. 32, No. 5, pp. 278-292, 2019.
  • S. Kimura, T. Sakamoto, T. Sera, H. Yokota, K. Ono, D. Doorly, R. Schroter, and G. Tanaka, "Voxel-based modeling of airflow in the human nasal cavity", Computer Methods in Biomechanics and Biomedical Engineering, vol. 22, No. 3, pp. 331-339, 2019.
  • R. Hu, V. Monebhurrun, R. Himeno, H. Yokota, and F. Costen, "A Statistical Parsimony Method for Uncertainty Quantification of FDTD Computation Based on the PCA and Ridge Regression", IEEE Transactions on Antennas and Propagation, vol. 67, no. 7, pp. 4726-4737, 2019.
  • R. Sakaguchi, T. Shiraiwa, P. Chivavibul, T. Kasuya, M. Enoki, N. Yamashita, H. Yokota, Y. Matsui, A. Kazama, K. Ozaki, and H. Takamatsu, "Multiscale Analysis of MnS Inclusion Distributions in High Strength Steel", ISIJ International, 2019.
  • M. Morita, K. Shimokawa, M. Nishimura, S. Nakamura, Y. Tsujimura, S. Takemoto, T. Tawara, H. Yokota, S. Wemler, D. Miyamoto, H. Ikeno, A. Sato, T. Furuichi, N. Kobayashi, Y. Okumura, Y. Yamaguchi, Y. Okamura-Oho, "ViBrism DB: an interactive search and viewer platform for 2D/3D anatomical images of gene expression and co-expression networks", Nucleic Acids Research, Vol. 47, issue D1, pp. D859-D866, 2019.
  • G. An, K. Omodaka, K. Hashimoto, S. Tsuda, Y. Shiga, N. Takada, T. Kikawa, H. Yokota, M. Akiba, T. Nakazawa, "Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images", Journal of Healthcare Engineering, Vol. 2019, pp. 4061313:1-9, 2019.
  • P. Jing, X. Wang, S. Noda, and X. Gong, "Numerical Analysis of Motion and Stress Distribution of Circulating Tumor Cells in Micro Vessels", Molecular & Cellular Biomechanics, 16(Suppl.2): 36–37, 2019.
• 2018:
  • R. Togashi, H. Tanaka, S. Nakamura, H. Yokota, K.Tange, Y. Nakai, H. Yoshioka, H. Hatarhima, H. Akita, "A hepatic pDNA delivery system based on an intracellular environment sensitive vitamin E-scaffold lipid-like material with the aid of an anti-inflammatory drug", Journal of Controlled Release, Vol. 279(10): 262-270, 2018.
  • G. An, K. Omodaka, S. Tsuda, Y. Shiga, N. Takada, T. Kikawa, T. Nakazawa, H. Yokota, and M. Akiba, "Comparison of Machine-Learning Classification Models for Glaucoma Management", Journal of Healthcare Engineering, Vol. 2018, Article ID 6874765, 2018.
  • B. Abdulkareem, J.-P. Berenger, F. Costen, R. Himeno, and H. Yokota, "An Operator Absorbing Boundary Condition for the Absorption of Electromagnetic Waves in Dispersive Media", IEEE Transactions on Antennas and Propagation, Vol. 66(4): 2147-2150, 2018.
  • R. Hu, V. Monebhurrn, R. Himeno, H. Yokota, F. Costen, "An Adaptive Least Angle Regression Method for Uncertainty Quantification in FDTD Computation", IEEE Transactions on Antennas and Propagation, vol. 66(12): 7188-7197, 2018.
  • A. Sakane, S. Yoshizawa, H. Yokota, and T. Sasaki, "Dancing Styles of Collective Cell Migration: Image-Based Computational Analysis of JRAB/MICAL-L2", Frontiers in Cell and Developmental Biology, Vol. 6, Article 4: 1-7, 2018.
  • T. Sera, S. Komine, M. Arai, Y. Sunaga, H. Yokota, and S. Kudo, "Three-dimensional model of intracellular and intercellular Ca2+ waves propagation in endothelial cells", Biochemical and Biophysical Research Communications, Vol. 505, Issue 3, pp. 781-786, 2018.
  • K. Hori, H. Ikematsu, K. Shinmura, Y. Yoda, Y. Oono, S. Takemoto, H. Yokota, T. Yano, "The Diagnostic Artificial Intelligence (AI) System for Detection of Colon Polyps with High Efficiency of Deep Learning", Gastrointestinal Endoscopy, Vol. 87, Issue 6, pp. AB:240-241, 2018.
• 2017:
  • D. Bashkirova, S. Yoshizawa, R. Latypov, and H. Yokota, "Fast L1 Gauss Transforms for Edge-Aware Image Filtering", Proceedings of the Institute for System Programming of the Russian Academy of Sciences, Vol. 29(4): 55-72, 2017.
  • Y. Mimura, S. Takemoto, T. Tachibana, Y. Ogawa, M. Nishimura, H. Yokota, and N. Imamoto, "A statistical image analysis framework for pore-free islands derived from heterogeneity distribution of nuclear pore complexes", Scientific Reports, Vol. 7, Article number: 16315, 2017.
  • H. Saito, H. Nishizumi, S. Suzuki, H. Matsumoto, N. Ieki, T. Abe, H. Kiyonari, M. Morita, H. Yokota, N. Hirayama, T. Yamazaki, T. Kikusui, K. Mori, and H. Sakano, "Immobility responses are induced by photoactivation of single glomerular species responsive to fox odour TMT", Nature Communications, Vol. 8, Article number: 16011, 2017.
  • V. Odedo, M. Yavuz, F. Costen, R. Himeno, and H. Yokota, "Time Reversal Technique based on Spatio-Temporal Windows for Through the Wall Imaging", IEEE Transactions on Antennas and Propagation Vol. 65(6): 3065–3072, 2017.
  • A. M. Abduljabbar, M. E. Yavuz, F. Costen, R. Himeno, and H. Yokota, "Continuous Wavelet Transform-Based Frequency Dispersion Compensation Method for Electromagnetic Time-Reversal Imaging", IEEE Transactions on Antennas and Propagation, Vol. 65(3): 1321-1329, 2017.
  • Y.-H. Chang, H. Yokota, K. Abe, C.-T. Tang, and M.-D. Tasi, "Automated Detection and Tracking of Cell Clusters in Time-Lapse Fluorescence Microscopy Images", Journal of Medical and Biological Engineering, Vol. 37(1): 18–25, 2017.
  • K. Tekbas, F. Costen, J.-P. Berenger, R. Himeno, and H. Yokota, "Subcell Modeling of Frequency-Dependent Thin Layers in the FDTD Method", IEEE Transactions on Antennas and Propagation, Vol. 65(1): 269-277, 2017.
  • K. Omodaka, G. An, S. Tsuda, Y. Shiga, N. Takada, T. Kikawa, H. Takahashi, H. Yokota, M. Akiba, and T. Nakazawa, "Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters", PLoS One, Vol. 12(12): 1-10, 2017.
  • N. Furushiro, H. Yokota, S. Nakamura, K. Fujisaki, Y. Yamagata, M. Kokubo, R. Himeno, A. Makinouchi, and T. Higuchi, "Three-Dimensional Observation of Microstructure of Bone Tissue Using High-Precision Machining", International Journal of Automation Technology, Vol. 11(6): 883-894, 2017.
• 2016:
  • A. Sakane, S. Yoshizawa, M. Nishimura, Y. Tsuchiya, N. Matsushita, K. Miyake, K. Horikawa, I. Imoto, C. Mizuguchi, H. Saito, T. Ueno, S. Matsushita, H. Haga, S. Deguchi, K. Mizuguchi, H. Yokota, and T. Sasaki, "Conformational plasticity of JRAB/MICAL-L2 provides "law and order" in collective cell migration", Molecular Biology of The Cell, Vol. 27(20):3095-3108, 2016.
  • A. M. Abduljabbar, M. E. Yavuz, F. Costen, R. Himeno, and H. Yokota, "Frequency Dispersion Compensation Through Variable Window Utilization in Time-Reversal Techniques for Electromagnetic Waves", IEEE Transactions on Antennas and Propagation, vol. 64(8):3636-3639, 2016.
  • B. Abdulkareem, J.-P. Berenger, R. Himeno, and H. Yokota, "Huygens Excitation in Debye Media in the FDTD Method", IEEE Transactions on Antennas and Propagation, vol. 64(8):3632-3635, 2016.
• 2015:
  • N. Yamashita, M. Morita, W. R. Legant, B.-C. Chen, E. Betzig, H. Yokota, and Y. Mimori-Kiyosue, "Three-dimensional tracking of plus-tips by lattice light-sheet microscopy permits the quantification of microtubule growth trajectories within the mitotic apparatus", Journal of Biomedical Optics, Vol. 20(10):101206:1-18, 2015.
  • M. Ono, H. Akuzawa, Y. Nambo, Y. Hirano, J. Kimura, S. Takemoto, S. Nakamura, H.Yokota, R. Himeno, T Higuchi, T. Ohtaki, and S. Tsumagari, "Analysis of the equine ovarian structure during the first twelve months of life by three-dimensional internal structure microscopy", Journal of Veterinary Medical Science, jvms.14-0539, 2015.
  • T. Sera, K. Uesugi, N. Yagi, and H. Yokota, "Numerical simulation of airflow and microparticle deposition in a synchrotron micro-CT-based pulmonary acinus model", Computer Methods in Biomechanics and Biomedical Engineering, Vol. 18(13), pp. 1427-1435, 2015.
  • T. Matsumoto, N. Tabata, H. Tamaki, T. Shibasaki, S. Seino, Y. Sunaga, H. Yokota, and M. Fukushima, "Simulation Model of Insulin Granule Dynamics in Pancreatic Beta Cell", IEEJ Transactions on Electronics Information and Systems, Vol. 135(8), pp. 963-970, 2015.
  • H. Li, H. Ohta, Y. Tahara, S. Nakamura, K. Taguchi, M. Nakagawa, Y. Oishi, Y. Goto, K. Wada, M. Kaga, M. Inagaki, M. Otagiri, H. Yokota, S. Shibata, H. Sakai, K. Okamura, and N. Yaegashi, "Artificial oxygen carriers rescue placental hypoxia and improve fetal development in the rat pre-eclampsia model", Scientific Reports, Vol. 5:15271, 2015.
  • N. Masaki, I. Ishizaki, T. Hayasaka, G. Fisher, N. Sanada, H. Yokota, and M. Setou, "Three-Dimensional Image of Cleavage Bodies in Nuclei Is Configured Using Gas Cluster Ion Beam with Time-of-Flight Secondary Ion Mass Spectrometry", Scientific Reports, 5:10000, 2015.
  • T. Oda, T. Hisano, D. Hay, R. Kinugasa, N. Yamamura, T. Komatsu, H. Yokota, and S. Takagi, "Anatomical Geometry and Thickness of Aponeuroses in Human Cadaver Triceps Surae Muscles", Advanced Biomedical Engineering, Vol. 4, pp.12-15, 2015.
• 2014:
  • T. Ijiri, S. Yoshizawa, H. Yokota, and T. Igarashi, "Flower Modeling via X-ray Computed Tomography", ACM Transactions on Graphics, Vol. 33(4):48:1-10, (Proc. of SIGGRAPH'14), 2014.
  • Y. Okamura-Oho, K. Shimokawa, M. Nishimura, S. Takemoto, A. Sato, T. Furuichi, and H. Yokota, "Broad Integration of Expression Maps and Co-Expression Networks Compassing Novel Gene Functions in the Brain", Scientific Reports, Vol. 4, 6969:1-11, 2014.
  • M. Morita, T. Tawara, M. Nishimura, S. Yoshizawa, B. Chou, I. Kuroki, T. Ijiri, Y. Tsujimura, R. Himeno, and H. Yokota, "Communication Platform for Image Analysis and Sharing in Biology", International Journal of Networking and Computing, Vol. 4, No. 2, pp. 369-391, 2014.
  • D. Ueno, K. Makiyama, H. Yamanaka, T. Ijiri, H. Yokota, and Y. Kubota, "Prediction of open urinary tract in laparoscopic partial nephrectomy by virtual resection plane visualization", BMC Urology, Vol. 14(1):47, 2014.
  • E. A. Susaki, K. Tainaka, D. Perrin, F. Kishino, T. Tawara, T. M. Watanabe, C. Yokoyama, H. Onoe, M. Eguchi, S. Yamaguchi, T. Abe, H. Kiyonari, Y. Shimizu, A. Miyawaki, H. Yokota, and H. R. Ueda, "Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis", Cell, Vol. 157(3), pp. 726-739, 2014.
  • E. Chikayama, Y. Sunaga, S. Noda, and H. Yokota, "Solvable model for chemical oscillations", Journal of Mathematical Chemistry, Vol. 52(2), pp. 399-406, 2014.
  • T. Hemmi, F. Costen, S. Garcia, R. Himeno, H. Yokota, and M. Mustafa, "Efficient Parallel LOD-FDTD Method for Debye-Dispersive Media", IEEE Transactions on Antennas and Propagation, Vol. 62(3), pp. 1330-1338, 2014.
• 2013:
  • S. Yoshizawa and A. Belyaev, "Möbius-invariant curve and surface energies and their applications", Science China Information Sciences, Vol. 56(9), pp. 1-10, 2013.
  • T. Ijiri, S. Yoshizawa, Y. Sato, M. Ito, and H. Yokota, "Bilateral Hermite Radial Basis Functions for Contour-based Volume Segmentation", Computer Graphics Forum: The International Journal of Eurographics Association (Proc. of EUROGRAPHICS), Vo. 32(2), pp. 123-132, 2013.
  • Y. Nagai, Y. Ohtake, H. Yokota, and H. Suzuki, "Boundary-representable partition of unity for image magnification", Science China Information Sciences, 56(11), pp. 1-12, 2013.
  • T. Sera, H. Yokota, R. Himeno, and G. Tanaka, "Gas dispersion of oscillatory flow in expanding and contracting multi-branching airways", International Journal of Heat and Mass Transfer, Vol. 65, pp. 627–634, 2013.
  • T. Sera, H. Yokota, G. Tanaka, K. Uesugi, N. Yagi, and R. C. Schroter, "Murine pulmonary acinar mechanics during quasi-static inflation using synchrotron refraction-enhanced computed tomography", Journal of Applied Physiology, Vol. 115(2), pp. 219-228, 2013.
• 2012:
  • S. Yoshizawa, A. Belyaev, and H. Yokota, "Shape and Image Interrogation with Curvature Extremalities", Journal for Geometry and Graphics, Vo. 16(1), pp. 81-95, 2012.
  • M. Abalenkovs, F, Costen, J.-P. Berender, R. Himeno, H. Yokota, and M. Fujii, "Huygens Subgridding for 3-D Frequency-Dependent Finite-Difference Time-Domain Method", IEEE Trans. on Antennas and Propagation, Vol. 60(9), pp. 4336-4344, 2012.
  • K. Fujisaki, N. Yamashita, and H. Yokota, "An automated three-dimensional internal structure observation system based on high-speed serial sectioning of steel materials", Precision Engineering, Vo. 36(2), pp. 315-321, 2012.
  • S. Hihara, C.-G. Pack, K. Kaizu, T. Tani, T. Hanafusa, T. Nozaki, S. Takemoto, T. Yoshimi, H. Yokota, N. Imamoto, Y. Sako, M. Kinjo, K. Takahashi, T. Nagai, and K. Maeshima, "Local Nucleosome Dynamics Facilitate Chromatin Accessibility in Living Mammalian Cells", Cell Reports, Vol. 2(6), pp. 1645-1656, 2012.
  • T. Ijiri, T. Ashihara, N. Umetani, T. Igarashi, R. Haraguchi, and H. Yokota, "A Kinematic Approach for Efficient and Robust Simulation of the Cardiac Beating Motion", PLoS One, Vol. 7(5), pp. e36706:1-9, 2012.
  • Y. Oho, K. Shimokawa, S. Takemoto, A. Hirakiyama, S. Nakamura, Y. Tsujimura, M. Nishimura, T. Kasukawa, K. Masumoto, I. Nikaido, Y. Shigeyoshi, H. Ueda, G. Song, J. Gee, R. Himeno, and H. Yokota, "Transcriptome tomography for brain analysis in the web-accessible anatomical space", PLoS One, Vol. 7(9), e45373:1-10, 2012.
  • K. Kominami, T. Nagai, T. Sawasaki, Y. Tsujimura, K. Yashima, Y. Sunaga, M. Tsuchimochi, J. Nishimura, K. Chiba, J. Nakabayashi, K. Koyamada, Y. Endo, H. Yokota, A. Miyawaki, N. Manabe, and K. Sakamaki, "In Vivo Imaging of Hierarchical Spatiotemporal Activation of Caspase-8 during Apoptosis", PLoS One, Vol. 7(11), e50218:1-18, 2012.
  • T. Sera, H. Yokota, K. Uesugi, and N. Yagi, "Airway distension during lung inflation in healthy and allergic-sensitised mice in vivo", Respir. Physiol. Neurobiol., Vol. 185(3), pp. 639-646, 2012.
  • K. Kominami, J. Nakabayashi, T. Nagai, Y. Tsujimura, K. Chiba, H. Kimura, A. Miyawaki, T. Sawasaki, H. Yokota, N. Manabe, and K. Sakamaki, "The molecular mechanism of apoptosis upon caspase-8 activation: quantitative experimental validation of a mathematical model", Biochim. Biophys. Acta, Vol. 1823(10), pp. 1825-1840, 2012.
• 2011:
  • K. Fujisaki, H. Yokota, N. Furushiro, S. Komatani, S. Ohzawa, Y. Sato, D. Matsunaga, R. Himeno, T. Higuchi, and A. Makinouchi, "Three-Dimensional Microscopic Elemental Analysis Using an Automated High-Precision Serial Sectioning System", Microscopy and Microanalysis, Vol. 17(2), pp. 246-251, 2011.
  • T. Sera, H. Yokota, S. Nakamura, K. Uesugi, M. Hoshino, N. Yagi, T. Ito, K. Hikishima, and H. Okano, "Synchrotron Refraction Enhanced Tomography of an Intact Common Marmoset (Callithrix jacchus)", Open Journal of Radiology, Vol. 1(2), pp. 28-37, 2011.
  • F. Liang, K. Fukasaku, S. Takagi, and H. Liu, "A computational model study of the influence of the anatomy of the circle of Willis on cerebral hyperperfusion following carotid artery surgery", Biomedical Engineering Online, Vol. 10, pp. 1-22, 2011.
  • M. Kanamori, A. Kaiho, Y. Ishizu, Y. Oho, O. Hino, M. Abe, T. Kishimoto, H. Sekihara, Y. Nakamura, H. Suzuki, A. Forrest, and Y. Hayashizaki, "LRRN4 and UPK3B are markers of primary mesothelial cells", PLoS One, Vol. 6(10), pp. e25391:1-8, 2011.
• 2010:
  • S. Yoshizawa, S. Takemoto, M. Takahashi, M. Muroi, S. Kazami, H. Miyoshi, and H. Yokota, "Interactive Registration of Intracellular Volumes with Radial Basis Functions", International Journal of Computational Intelligence and Applications, Vol. 9(3), pp. 207-224, 2010.
  • K. Maeshima, H. Iino, S. Hihara, T. Funakoshi, A. Watanabe, M. Nishimura, R. Nakatomi, K. Yahata, F. Imamoto, T. Hashikawa, H. Yokota, and N. Imamoto, "Nuclear pore formation but not nuclear growth is governed by cyclin-dependent kinases (Cdks) during interphase", Nature Structural & Molecular Biology, Vol. 17, pp. 1065–1071, 2010.
  • T. Ijiri and H. Yokota, "Contour-based Interface for Refining Volume Segmentation", Computer Graphics Forum: The International Journal of Eurographics Association (Proc. of Pacific Graphics), Vol. 29(7), pp. 2153-2160, 2010.
  • J. Nakanishi, Y. Kikuchi, Y. Tsujimura, H. Nakayama, S. Kaneko, T. Shimizu, K. Yamaguchi, H. Yokota, Y. Yoshida, T. Takarada, M. Maeda, and Y. Horiike, "Precise patterning of photoactivatable glass coverslip for fluorescence observation of shape-controlled cells", Supramolecular Chemistry, Vol.22(7), pp. 396-405, 2010.
  • S. Yoshizawa, A. Belyaev, and H. Yokota, "Fast Gauss Bilateral Filtering", Computer Graphics Forum: The International Journal of Eurographics Association, Vol.29(1), pp. 60-74, 2010.
  • K. Fujisaki, H. Yokota, N. Hiroki, Y. Yamagata, T. Nishikawa, T. Udagawa, and A. Makinouchi, "Observation of three-dimensional internal structure of steel materials by means of serial sectioning with ultrasonic elliptical vibration cutting", Journal of Microscopy, Vol.237(1), pp. 89-95, 2010.
  • Y. Endo, J. Sakamoto, Y. Kashiwano, H. Yokota, S. Nakamura, and E. Kinoshita, "A biomechanical study on burst mechanisms of plant fruit: stress analysis of pericarps before bursting", Journal of the Mechanical Behavior of Biomedical Materials, Vol. 3(7), pp. 512-519, 2010.
• 2009:
  • M. Takahashi and T. Kobayashi, "Cholesterol regulation of rab-mediated sphingolipid endocytosis", Glycoconjugate Journal Vol. 26(6), pp. 705-710, 2009.
  • J. Kimura, N. Kakusho, K. Yamazawa, Y. Hirano, Y. Nambo, H. Yokota, and R. Himeno, "Stereolithographic biomodeling of equine ovary based on 3D serial digitizing device", Journal of Veterinary Science, Vol.10(2), pp. 161-163, 2009.
  • T. Ijiri, K. Takayama, H. Yokota, and T. Igarashi, "ProcDef: Local-to-global Deformation for Skeleton-free Character Animation", Computer Graphics Forum: The International Journal of Eurographics Association (Proc. of Pacific Graphics), Vol.28(7), pp. 1821-1828, 2009.
  • K. Fujisaki, H. Yokota, N. Furushiro, Y. Yamagata, T. Taniguchi, R. Himeno, A. Makinouchi, and T. Higuchi, "Development of ultra-fine-grain binderless cBN tool for precision cutting of ferrous materials", Journal of Materials Processing Technology, Vol.209(15-16), pp. 5646-5652, 2009.
  • Y. Hirano, J. Kimura, Y. Nambo, H. Yokota, S. Nakamura, S. Takemoto, R. Himeno, T. Mishima, M. Matsui, and Y.-I. Miyake, "Population of Follicles and Luteal Structures during the Oestrous Cycle of Mares Detected by Three-Dimensional Internal Structure Microscopy", Anatomia, Histologia, Embryologia, Vol. 38(3), pp. 214–218, 2009.
• 2008:
  • H. Nishida, T. Suzuki, Y. Tsujimura, S. Komatsu, and Y. Hayashizaki, "An epigenetic aberration increased in intergenic regions of cloned mice", Mammalian Genome, Vol.19, pp. 667-674, 2008.
  • T. Sera, H. Yokota, K. Fujisaki, H. Tachibana, K. Uesugi, N. Yagi, and R. Himeno, "Development of high resolution 4D in vivo-CT for visualization of cardiac and respiratory deformations of small animals", Physics in Medicine and Biology, Vol.53(16), pp. 4285-4301, 2008.
  • S. Yoshizawa, A. Belyaev, H. Yokota, and H.-P. Seidel, "Fast, Robust, and Faithful Methods for Detecting Crest Lines on Meshes", Computer Aided Geometric Design, Vol.25(8), pp. 545-560, 2008.
  • K. Yamazawa, M. Anzai, H. Yokota, R. Himeno, H. Suzuki, H. Narahara, and S. Suzuki, "Trial Formation of Artificial Bone by Inkjet Powder-Layered Manufacturing", International Journal of Automation Technology, Vol.2(3), pp. 156-161, 2008.
  • M. Ichikawa, Y. Oho, K. Shimokawa, S. Kondo, S. Nakamura, H. Yokota, R. Himeno, K. Lesch, and Y. Hayashizaki, "Expression analysis for inverted effects of serotonin transporter inactivation", Biochemical and Biophysical Research Communications, Vol.368, pp. 43-49, 2008.
  • Y. He, R. Himeno, H. Liu, H. Yokota, and G. Zhi, "Finite element numerical analysis of blood flow and temperature distribution in three-dimensional image-based finger model", International Journal of Numerical Methods for Heat & Fluid Flow, Vol.18(7), pp. 932-953, 2008.
  • M. Rajendra, A. Yamamoto, T. Oda, H. Kataoka, H. Yokota, R. Himeno, and T. Higuchi, "Motion generation in MR environment using electrostatic film motor for motion triggered cine-MRI", IEEE/ASME Transactions on Mechatronics, Vol.13(3), pp. 278-285, 2008.
• 2007:
  • S. Yoshizawa, A. Belyaev, and H. Seidel, "Skeleton-based variational mesh deformations", Computer Graphics Forum: The International Journal of Eurographics Association (Proc. of EUROGRAPHICS), Vol.26(3), pp. 255-264, 2007.
  • M. Takahashi, M. Murate, M. Fukuda, S. Sato, O. Akinori, and T. Kobayashi, "Cholesterol controls lipid endocytosis through rab11", Molecular Biology of the Cell, Vol.18(7), pp. 2667-2677, 2007.
• 2006:
  • Y. Hirano, J. Kimura, Y. Nambo, H. Yokota, S. Nakamura, S. Takemoto, R. Himeno, T. Mishima, M. Matsui, and Y. Miyake, "Observation of ovarian internal structures during the estrous cycle of mares", Animal Reproduction Science, Vol.94, pp. 210-214, 2006.
• 2005:
  • J. Kimura, Y. Hirano, S. Takemoto, Y. Nambo, T. Ishinazaka, T. Mishima, S. Tsumagari, and H. Yokota, "Three-Dimensional Reconstruction of the Equine Ovary", Anatomia, Histologia, Embryologia, Vol.34, pp. 48-51, 2005.
  • K. Sakamaki, C. Takagi, J. Yoshino, H. Yokota, S. Nakamura, K. Kominami, A. Hyodo, K. Takamune, M. Yuge, and N. Ueno, "Transgenic frogs expressing the highly fluorescent protein venus under the control of a strong mammalian promoter suitable for monitoring living cells", Developmental Dynamics, Vol. 233(2), pp. 562–569, 2005.
• 2004:
  • T. Sera, H. Fujioka, H. Yokota, A. Makinouchi, R. Himeno, R. Schroter, and K. Tanishita, "Localized compliance of small airways in excised rat lungs using microfocal X-ray computed tomography", J. Appl. Physiol., Vol. 96(5), pp. 1665-1673, 2004.

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International Conference Papers (Refereed Paper)

• 2024:
  • S. Yoshizawa and H. Yokota, "Scale-aware Volume Filtering by Splitting Transformed Voxel-Domains", International Conference on Precision Engineerin (ICPE), pp. OS19-08:1-6, Sendai, Japan, 2024.
  • Y. Aida, N. Yamashita, S. Morita, T. Shiraiwa, M. Enoki, N. Kiyokane, K. Yamazaki, S. Kaneko, and H. Yokota, "3D microstructure imaging of dual-phase steels with different carbon contents and thermal histories using a 3D internal structure microscope", International Conference on Precision Engineerin (ICPE), pp. OS05-12:1-4, Sendai, Japan, 2024.
  • S. Yoshida, Z. Sun, S. Yoshizawa, T. Michikawa, S. Noda, R. Micheletto, and H. Yokota, "Image compressed sensing based on vision-inspired importance maps", IEEE International Conference on Imaging Systems and Techniques (IEEE IST), pp. 1-6, Tokyo, Japan, 2024.
  • R. Fukushima, T. Takamatsu, K. Sato, A. Hernandez-Guedes, G. Callico, K. Okubo, M. Umezawa, H. Yokota, K. Soga, and H. Takemura, "Detection of Exposed Nerves in Two Individuals In Vivo and Unexposed Nerves Ex Vivo with Near-Infrared Hyperspectral Laparoscope", IEEE/SICE International Symposium on System Integration (SII), pp. 19-24, 2024.
  • T. Takamatsu, R. Fukushima, H. Yokota, H. Ikematsu, K. Soga, and H. Takemura, "Detection of deep lesion in resected stomach by near-infrared hyperspectral imaging", Proc. SPIE (Medical Imaging) Vol. 12927, 129271R, 2024.
• 2023:
  • R. Fukushima, T. Takamatsu, A. Mori, K. Sato, K. Okubo, M. Umezawa, N. Takeshita, H. Hasegawa, H. Yokota, K. Soga, and H. Takemura, "Hyperspectral imaging and detection mapping of in vivo biological tissues applying near-infrared laparoscope", Proc. SPIE (Medical Imaging), Vol. 12466, 124662K, 2023.
  • S. -L. Chu, K. Abe, K. -T. Lin, H. Yokota, D. Cho, and M. -D. Tsai, "Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy Images", International Conference of the IEEE Engineering in Medicine & Biology Society, 2023.
  • S. -L. Chu, H. Yokota, H. -L. Hsieh, K. Abe, D. Cho and M. -D. Tsai, "Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images", International Conference of the IEEE Engineering in Medicine & Biology Society, 2023.
• 2022:
  • M. Fukatsu, S. Yoshizawa, H. Takemura, and H. Yokota, "Adaptive and Dynamic Regularization for Rolling Guidance Image Filtering", Pacific Graphics, Short Paper, pp. 43-48, 2022.
  • S.-L. Chu, H. Yokota, K. Abe, D. Cho, and M.-D. Tsai, "U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy images", International Conference of the IEEE Engineering in Medicine & Biology Society, pp. 512-515, 2022.
  • S.-L. Chu, K. Sudo, K. Abe, H. Yokota, Y. Nakamura, G.-T. Lion, and, M.-D. Tsai, "Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images", International Conference of the IEEE Engineering in Medicine & Biology Society, pp. 2029-2032. 2022.
• 2021:
  • A. Yahata, H. Takemura, T. Takamatsu, H. Yokota, R. Iwanami, M. Umezawa, K. Okubo, K. Soga, T. Mitsui, T. Kadota, T. Kuwata, H. Ikematsu, "Wavelength Selection of Near-Infrared Hyperspectral Imaging for Gastric Cancer Detection", International Conference on Intelligent Informatics and Biomedical Sciences, pp. 219-223, 2021.
  • H. Yokota, K. Abe, Y. -H. Chang, D. Cho, M.-D. Tsai, and P.-H. Huang, "Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images", International Conference of the IEEE Engineering in Medicine & Biology Society, pp. 2944-2947, 2021.
  • S.-L. Chu, K. Abe, H. Yokota, D. Cho, Y.-H. Chen, and M. -D. Tsai, "High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns", International Conference of the IEEE Engineering in Medicine & Biology Society, pp. 3713-3716, 2021.
• 2020:
  • S.-L. Chu, S.-Y. Sung, M.-D, Tsai, K. Abe, K. Sudo, Y. Nakamura, and H. Yokota, "Trend Training Based RNN for Human Induced Pluripotent Stem Cell Reprogramming Prediction Using Time-Lapse Microscopy Images", IEEE International Conference on Bioinformatics and Bioengineering, pp. 140-146, 2020.
  • S.-L. Chu, L.-Y. Lin, M.-D, Tsai, K. Abe, K. Sudo, Y. Nakamura, and H. Yokota, "CNN Based iPS Cell Formation Stage Classifier for Human iPS Cell Growth Status Prediction Using Time-lapse Microscopy Images", IEEE International Conference on Bioinformatics and Bioengineering, pp. 616-621, 2020.
  • S.-L. Chu, K. Abe, H. Yokota, K. Sudo, Y. Nakamura, Y.-H. Chang, L.-C. Fang, and M.-D, Tsai, "Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images", IEEE International Conference on Bioinformatics and Bioengineering, pp. 1820-1823, 2020.
• 2019:
  • T. Michikawa, S. Wada, H. Yokota, G. An, M. Akiba, K. Omodaka, and T. Nakazawa, "Retinal Thickness Analysis in High Myopia based on Medial Axis Transforms", Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2805-2808, Berlin, Germany, 2019
  • G. An, H. Yokota, N. Motozawa, S. Takagi, M. Mandai, S. Kitahata, Y. Hirami, M. Takahashi, Y. Kurimoto, and M. Akiba, "Deep Learning Classification Models Built with Two-step Transfer Learning for Age Related Macular Degeneration Diagnosis", Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2049-2052, Berlin, Germany, 2019.
  • Y.-H. Chang, K. Abe, H. Yokota, K. Sudo, Y. Nakamura, S. Chu, C. Hsu, and M.-D. Tsai, "Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN", Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2416-2419, Berlin, Germany, 2019.
  • K. Akimoto, S. Tsuichihara, T. Takamatsu, K. Soga, H. Yokota, M. Ito, N. Gotoda, and H. Takemura., "Evaluation of laser-induced plasma ablation focusing on the difference in pulse duration", Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6987-6990, Berlin, Germany, 2019.
  • T. Kitrungrotsakul, X.-X Han, Y. Iwamoto, S. Takemoto, H. Yokota, S. Ipponjima, T. Nemoto, X. Wei, and Y.-W. Chen, "A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image", IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1239-1243, Brighton, UK, 2019.
• 2018:
  • S. Miyagawa, S. Yoshizawa, and H. Yokota, "Trimmed Median PCA for Robust Plane Fitting", Proc. of IEEE International Conference on Image Processing, pp. 753-757, Athens, Greece, 2018.
  • Y. Sakai, S. Takemoto, K. Hori, M. Nishimura, H. Ikematsu, T. Yano, and H. Yokota, "Automatic Detection of Early Gastric Cancer in Endoscopic Images Using a Transferring Convolutional Neural Network", Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4138-4141, Honolulu, USA, 2018.
  • Y.-H. Chang, H. Yokota, K. Abe, and M.-D. Tsai, "Three-Dimensional Segmentation of Mouse Embryonic Stem Cell Nuclei for Quantitative Analysis of Differentiation Activity Using Time-Lapse Fluorescence Microscopy Images", Proc. of IEEE International Conference on Bioinformatics and Bioengineering, pp. 299-304, Taichung, 2018.
• 2017:
• D. Bashkirova, S. Yoshizawa, R. Latypov, and H. Yokota, "Fast L1 Gauss 2D Image Transforms", Proc. of Spring/Summer Young Researchers' Colloquium on Software Engineering, pp. 145-149, Innopolis, Russia, 2017.
• Y.-H. Chang, H. Yokota, K. Abe, C.-C. Chen, M.-D. Tsai, "3D Segmentation,Visualization and Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells using Time-Lapse Fluorescence Microscopy Images", Proc. of International Conference on Bioinformatics and Bioengineering, pp. 139-144, Washington, USA, 2017.
• Y.-H. Chang, K. Abe, H. Yokota, K. Sudo, Y. Nakamura, C.-Y. Lin, M.-D. Tsai, "Human induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks", Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4058-4061, Jeju, Korea, 2017.
• 2016:
• Y.-H. Chang, H. Yokota, K. Abe, J. H. Liu, and M.-D. Tsai, "Detection and Localization of Mouse Induced Pluripotent Stem Cell Formation Using Time-Lapse Fluorescence Microscopy Images", Proc. of International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3914-3917, Orlando, FL, US, 2016.
• Y.-H. Chang, H. Yokota, K. Abe, C.-C. Li, and M.-D. Tsai, "Fluorescence Microscopy Image Processing and Visualization for Analyzing Cell Kinematics, Proliferation and Attachment in Mouse Embryonic Stem Cell Culture", Proc. of IEEE International Conference on Bioinformatics and Bioengineering, pp. 222-229, Taichung Taiwan, 2016.
• 2014:
• S. Yoshizawa and H. Yokota, "Fast L1 Gaussian Convolution via Domain Splitting", Proc. of IEEE International Conference on Image Processing, pp. 2908-2912, Paris, France, 2014.
• N. Yamashita, S. Yoshizawa and H. Yokota, "Volume-based Shape Analysis for Internal Microstructure of Steels", Proc. of IEEE International Conference on Image Processing, pp. 4887-4891, Paris, France, 2014. Top 10% Paper Award.
• T. Ijiri et al., ACM SIGGRAPH, 2014.
• 2013:
• S. Takemoto, S. Yoshizawa, Y. Tsujimura, and H. Yokota, "A novel performance evaluation system for fluorescent cell image segmentation", Proc. of International Symposium on Computing and Networking, pp. 294-299, (BIR'13: Int. Workshop on BioImage Recognition), Matsuyama, Japan, 2013.
• M. Morita, T. Tawara, M. Nishimura, S. Yoshizawa, B. Chou, I. Kuroki, T. Ijiri, Y. Tsujimura, R. Himeno, and H. Yokota, "Biomedical Image Communication Platform", Proc. of International Symposium on Computing and Networking, pp. 281-287, (BIR'13: Int. Workshop on BioImage Recognition), Matsuyama, Japan, 2013.
• S. Yoshizawa and A. Belyaev, "Möbius-invariant surface energies and ridges", The Mathematics of Surfaces XIV, pp. 109-125, Birmingham, UK, 2013.
• T. Ijiri et al., EUROGRAPHICS, 2013.
• 2012:
• S. Yoshizawa and A. Belyaev, "Conformally Invariant Energies and Minimum Variation Surfaces", Proceedings of Geometric Computing and CAD Workshop, Asian Conference on Design and Digital Engineering, pp. 20:1-20:9, Niseko, Japan, 2012.
• Y. Nagai, Y. Ohtake, H. Yokota, and H. Suzuki, "Boundary Representable Partition of Unity for Image Zooming", Proceedings of Geometric Computing and CAD Workshop, Asian Conference on Design and Digital Engineering, pp. 60:1-60:9, Niseko, Japan, 2012.
• 2010:
• T. Ijiri et al., Pacific Graphics, 2010.
• Y. Nagai, Y. Ohtake, H. Suzuki, and H. Yokota, "Outlier/Noise-robust Partition of Unity Implicit Surface Reconstruction", Proceedings of Geometric Computing Workshop, Asian Conference on Design and Digital Engineering, pp.454-460, Jeju, Korea, 2010.
• S. Yoshizawa, A. Belyaev, and H. Yokota, "Curvature Extremalities for Intelligent Shape and Image Interrogation", Proceedings of International Conference on Geometry and Graphics, Japan, Kyoto, pp. 242:1-242:10, 2010.
• 2009:
  • S. Takemoto, and H. Yokota, "Algorithm Selection for Intracellular Image Segmentation based on Region Similarity", Proceedings of International Conference on Intelligent Systems Design and Applications, IEEE Computer Society, Italy, Pisa, pp. 1413-1418, 2009.
  • S. Takemoto, H. Yokota, T. Mishima, and R. Himeno, "Segmentation of Anatomical Structure by Using a Local Classifier Derived from Neighborhood Information", Advances in Soft Computing: Human-Computer Systems Interaction, Vol.60, pp. 171-180, 2009.
  • S. Yoshizawa, S. Takemoto, M. Takahashi, M. Muroi, S. Kazami, H. Miyoshi, and H. Yokota, "Intracellular Volume Registration", Proceedings of International Conference on Intelligent Systems Design and Applications, IEEE Computer Society, Italy, Pisa, pp. 1407-1412, 2009.
  • T. Ijiri et al., Pacific Graphics, 2009.
• 2008:
  • S. Takemoto, H. Yokota, R. Himeno, and T. Mishima, "Segmentation of Anatomical Structure by Using a Local Classifier Derived from Neighborhood Information", IEEE International Conference on Human System Interaction, Krakow, Poland, pp. 726-730, 2008.
  • H. Kataoka, S. Noda, H. Yokota, S. Takagi, R. Himeno, and S. Okazawa, "Simulations of needle insertion using Eulerian hydrocode FEM and experimental validations", Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention, New York, USA, pp. 560-568, 2008.
• 2007:
  • T. Sera, K. Uesugi, N. Yagi, H. Yokota, K. Fujisaki, K. Fukasaku, and R. Himeno, "In vivo-CT system with respiratory and cardiac gating using synchrotron radiation", Proceedings of SPIE-The International Society for Optical Engineering, Vol.6511, pp. 651103-1-651103-9, 2007.
  • S. Yoshizawa et al., EUROGRAPHICS, 2007.
  • S. Yoshizawa, A. Belyaev, H. Yokota, and H.-P. Seidel, "Fast and faithful geometric algorithm for detecting crest lines on meshes", Proceedings of Pacific Graphics, IEEE Computer Society, USA Maui, pp. 231-237, 2007.
• 2004:
  • S. Takemoto, H. Yokota, Y. Hirano, S. Nakamura, J. Kimura, Y. Nambo, S. Tsumagari, R. Himeno, and T. Mishima, "Semi-automated color segmentation from a biological cross-sectional image series: Follicle segmentation from the equine ovary", IEEE International Conference on Systems, Man and Cybernetics, Hague, Netherlands, Vol. 4, pp. 3076-3081, 2004.
• 2003:
  • S. Takemoto, H. Yokota, R. Himeno, A. Makinouchi, and T. Mishima, "Bi-directional segmentation from the color image sequence for in-vivo visualization", Proceedings of International Technical Conference on Circuits/Systems, Computers and Communications, Phoenix park, Korea, pp. 651-654, 2003.

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International Invited Talks, Conferences, Symposiums, and Workshops

• 2024:
  • S. Yoshizawa and H. Yokota, ICPE, 2024.
  • Y. Aida et al., ICPE, 2024.
  • S. Yoshida et al., IEEE IST, 2024.
  • T. Michikawa, N. Yamashita, Z. Sun, S. Yoshizawa, M. Morita, T. Nakamura, Y. Aida, S. Morita, T. Hara, M. Inomoto, M. Okazaki, and H. Yokota, "Image Processing Technology toward Multi-Modal Analysis of Steels", International Conference on the Physical Properties and Application of Advanced Materials (ICPMAT), Refereed, Abstract Book: pp. 42-43, Brno, Czech Republic, 2024.
  • T. Hara, H. Nishikawa, T/ Michikawa, H. Yokota, "Application of FIB-SEM Serial-Sectioning Technique on Structural Materials", International Conference on the Physical Properties and Application of Advanced Materials (ICPMAT), Invited Talk, Abstract Book: pp. 7, Brno, Czech Republic, 2024.
  • R. Fukushima, T. Takamatsu, K. Sato, K. Okubo, M. Umezawa, N. Takeshita, H. Hasegawa, H. Yokota, K. Soga, and H. Takemura, "Non-invasive imaging of exposed nerves in vivo with near-infrared hyperspectral laparoscopic devices", Proc. SPIE (Medical Imaging), poster, Vol. 12928, 129281X, 2024.
  • Y. Aida, R. Suzumura, N. Yamashita, S. Morita, T. Hara, T. Osada, and H. Yokota, "Three-dimensional observation and morphological analysis of inclusions in a Ni-Co-based superalloy using the serial sectioning method", poster, Euspen, Dublin, IE, 2024.
• 2023:
  • Nao Yokokawa, Shinichi Fukushige, and Takashi Michikawa, "Multi-image-based digital representation of disassembly information for wasted products", International Symposium on Environmentally Conscious Design and Inverse Manufacturing, Nara, Japan, 2023.
• 2022:
  • M. Fukatsu et al., Pacific Graphics, 2022.
  • S. Kawasaki, N. Yamashita, S. Mizuno, S. Morita, and H. Yokota, "Automated serial-sectioning method using electrolytic etching and precision cutting for 3D microstructure observation of additively manufactured Alloy 718", International Congress on 3D Materials Science, Washinton DC, US, 2022.
  • M. Nakayama, S. Goto, S. Takemoto, H. Oka, H. Yokota, S. Takagi, and S. Goto, "Impact of Coagulation Factor XI (FXI) on the Binding of Platelet Glycoprotein Ibα to the von Willebrand Factor A1 Domain", poster, ISTH 2022 Congress, London, UK, 2022.
  • P. Jing, S. Ii, X. Wang, K. Sugiyama, S. Noda, and X. Gong, "A Numerical Investigation of the Membrane Tensions and Motional Behaviors of Circulating Tumor Cells in Microvessels", World Congress on Computational Mechanics, Yokohama Virtual, Japan, 2022.
  • X. Wang, S. Ii, K. Sugiyama, S. Noda, Shigeho, P. Jing, D. Liu, and X. Gong, "Numerical analysis of equilibrium state and lateral migration of erythrocytes in 3D cylindrical microchannel", World Congress on Computational Mechanics, Yokohama Virtual, Japan, 2022.
• 2021:
  • N. Takagi, T. Michikawa, N. Yamashita, S. Yoshizawa, H. Takemura, T. Shiraiwa, M. Enoki, K. Yamazaki, and H. Yokota, "A simple framework for texture analysis of steel microstructure images and its application to correlation analysis with steel properties", Refereed, Material Research Meeting (MRM 2021), Pacifico Yokohama, Japanm 2021.
  • R. Suzumura, N. Yamashita, T. Michikawa, S. Morita, M. Inomoto, Y. Okazaki, and H. Yokota, "3D Shape Evaluation of Martensite-Austenite Constituents in High Tensile Steel using a 3D Internal Structure Microscope", Refereed, Material Research Meeting (MRM 2021), Pacifico Yokohama, Japanm 2021.
  • T. Michikawa, S. Yoshizawa, N. Yamashita, T. Hara, M. Inomoto, Y. Okazaki, and H. Yokota, "Image registration of steel images acquired by optical microscope and SEM using phase-only correlation", Refereed poster, Material Research Meeting (MRM 2021), Pacifico Yokohama, Japanm 2021.
  • S. Yoshizawa and H. Yokota, "Fast and Faithful Scale-Aware Image Filters", Invited Talk, Workshop in Homage to Professor T. L. Kunii, Computer Graphics International, Online, 2021.
  • N. Takagi, N. Yamashita, Y. Tsujimura, H.Takemura, S. Chee, K. Suzuki, Y. Kubota, and H. Yokota, "Compact-sized Cutting System for a Serial-block-face Scanning Electron Microscopy", Refereed poster, Microscopy and Microanalysis, Vol. 27(S1): 3176-3177, 2021.
• 2020:
  • T. Takanashi, S. Noda, M. Tamura, and Y. Otake, "Novel CT reconstruction results of neutron and x-ray based on exact solution method", International Symposium on Advanced Measurement Analysis and Control for Energy and Environment, online, 2020.
• 2019:
  • S. Yoshizawa, "Edge-aware Image Filters via Domain Splitting L1 Gaussian Convolutions", Invited Minisymposia Talk, International Congress on Industrial and Applied Mathematics, Valencia University, Valencia, Spain, 2019.
  • H. Nishikido, N. Yamashita, S. Morita, and H. Yokota, "Development of three-dimensional observation method with electrolytic etching for microstructure of stainless steel manufactured by additive manufacturing", Refereed poster, Microscopy and Microanalysis, Vol. 26(S2): 2232-2234, 2020.,
  • M. Morita, S. Takemoto, M. Nishimura, Y. Morii, M. Maeda, Y. Okumura, Y. Yamaguchi, and H. Yokota, "A cloud-based communication platform for image-based brain research", poster, International Symposium of Brain/MINDS ISBM2019, Tokyo University, Tokyo, 2019.
  • H. Yokota, S. Yoshizawa, S. Takemoto, M. Morita, T. Sera, M. Nishimura, Y. Tsujimura, S. Nakamura, and T. Michikawa, "Bioimage Processing", Resonance Bio International Symposium, Tokyo Univ. of Science, Japan, 2019.
  • S. Shimozono, S. Nakamura, H. Yokota, and A. Miyawaki, "RAome - omics of RA", Resonance Bio International Symposium, poster, Tokyo Univ. of Science, Japan, 2019.
  • M. Umezawa, T. Sera, H. Yokota, M. Kamimura, and K. Soga, "Computed Tomography for In Vivo Deep Over-Thousand-Nanometer Near-Infrared (OTN-NIR) Fluorescence Imaging", Resonance Bio International Symposium, poster, Tokyo Univ. of Science, Japan, 2019.
  • S. Yoshizawa, S. Miyagawa, and H. Yokota, "Trimmed Median PCA", Resonance Bio International Symposium, poster, Tokyo Univ. of Science, Japan, 2019.
  • M. Morita, M. Nishimura, S. Takemoto, Y. Tsujimura, and H. Yokota, "Cloud-based image processing system: RBICP", Resonance Bio International Symposium, poster, Tokyo Univ. of Science, Japan, 2019.
  • Y.-W. Chen, T. Kitrungrotsakul, X.-H. Han, Y. Iwamoto, J. Liu, S. Takemoto, H. Yokota, S. Ipponjima, and T. Nemoto, "An End-to-end CNN and CLSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Images", Resonance Bio International Symposium, poster, Tokyo Univ. of Science, Japan, 2019.
  • M. Umebayashi, S. Takemoto, L. Reymond, M. Sundukova, A. Bucci, P.A. Heppenstall, H. Yokota, K. Johnsson, H. Riezman, "Receptor-linked environment-sensitive probe reveals the heterogeneity of local-membrane environment surrounding the insulin receptor", International Conference on the Bioscience of Lipids, 2019.
• 2018:
  • Y. Okamura-Oho, D. Miyamoto, H. Ikeno, M. Morita, H. Yokota, S. Wemler, A. Sato, T. Furuichi, Y. Okumura, and Y. Yamaguchi, "2D/3D image integration on the BAH viewer", poster, Neuroscience 2018, San Diego, CA, 2018.
  • M. Morita, "ViBrism DB and the 2D/3D viewer, BAH Viewer", demonstration, Neuroscience 2018, San Diego, CA, 2018.
  • S. Yoshizawa, "Fast and accurate edge-aware image filters", Invited Talk, ABiS-GBI-OIST-RB Joint Symposium: Frontiers in Bioimaging, Okinaka, Japan, 2018.
  • S. Yoshizawa, S. Nakamura, and H. Yokota, "3D Beef Marbling Extraction", poster, International Meeting on Bioimaging for Young Researchers, Okinaka, Japan, 2018.
  • M. Watanabe, Y. Tsujimura, S. Oyama, K. Yamazawa, and H. Yokota, "Development of new binder jetting process for fabricating bone regeneration implants", poster, Society For Biomaterials Annual Meeting, Atlanta, US, 2018.
  • S. Oyama, M. Watanabe, Y. Tsujimura, K. Yamazawa, and H. Yokota, "In Vivo Study of Stable Alpha-TCP Scaffolds Fabricated by Modified Binder Jetting", Society For Biomaterials Annual Meeting, Atlanta, US, 2018.
  • S. Otsuka, M. Yamamoto, S. Oyama, H. Hirata, H. Mizoguchi, and H. Yokota, "Quantitative Analysis of Arthroscopic Operation in Elbow Arthroscopy", Refereed poster, International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, USA, 2018.
  • A. Alkandari, F. Costen, J.-P. Berenger, R. Himeno, and H. Yokota, "Comparison of Implementations of Thin Layers in the FDTD Grid", IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Boston, US, 2018.
  • K. Hori, H. Ikematsu, K. Shinmura, Y. Yoda, Y. Oono, S. Takemoto, H. Yokota, and T. Yano, "The Diagnostic artificial Intelligence (AI) System for Detection of Colon Polyps with High Efficiency of Deep Learning", Digestive Disease Week, Washington, US: Gastrointestinal Endoscopy, Vol. 87(6), Supplement, pp. AB240-AB241, 2018.
  • K. Hori, S. Takemoto, Y. Sakai, K. Shinmura, Y. Yoda, Y. Ohno, H. Ikematsu, H. Yokota, T. Yano, "Automatic Detection of Early Gastric Cancer in Endoscopic Images Using a Transferring Convolutional Neural Network", United European Gastroenterology Week, 2018.
• 2017:
  • H. Yokota, "Patient Specific Surgical Simulation achieved by Multi Dimensional Medical Imaging Processing", Intelligent Functional Reconstruction of the Hand, p22, Nagoya, 2017.
  • H. Yokota, "Bioimage processing", International Symposium on Imaging Frontier 2017, Tokyo University of Science, Tokyo, 2017.
  • S. Takemoto, M. Umebayashi, M. Morita, H. Riezman, and H. Yokota, "Sommelier: A system for performance evaluation of image segmentation methods toward better objectivity of cell image analysis", Taiwan-Japan Joint Meeting on Bioimaging for Young Researchers, poster, Academia Sinica, Taipei, 2017.
  • M. Morita, G. Masumoto, M. Nishimura, Y. Tsujimura, S Takemoto, S. Yoshizawa, R. Himeno, and H. Yokota,　"Cloud computing system for image processing and sharing in 4D Cell project", Taiwan-Japan Joint Meeting on Bioimaging for Young Researchers, poster, Academia Sinica, Taipei, 2017.
  • D. Bashkirova, S. Yoshizawa, and H. Yokota, "Fast Image Filtering with L1 Gauss Transform", International Computer Vision Summer School (ICVSS), poster, Sicily, Italy, 2017.
  • S. Takemoto, "Performance evaluation of image segmentation methods for better objectivity of cell image analysis", Invited, NCCR Special Lecture series, Geneva Univ., Geneva, Switzerland, 2017.
  • M. Yamamoto, T. Tawara, S. Oyama, Y. Murakami, H. Yokota, and H. Hirata, "Augmented Reality-enhanced Elbow Arthroscopy: N/A - not a clinical study", Annual Meeting of the American Society for Surgery of the Hand: Evolution, Exploration, Empowerment, San Francisco, US: The Journal of Hand Surgery, Vol. 42(9), Supplement, pp. S51-S52,2017.
  • T. Sakamoto, S. Kimura, T. Sera, H. Yokota, K. Ono, and G. Tanaka, "Transitional Flow in the Nasal Cavity", JSME-KSME Thermal and Fluids Engineering Conference, Okinawa, Japan, 2017.
  • K. Shimokawa, M. Morita, M. Nishimura, H. Yokota, S. Wemler, Y. Okumura, Y. Yamaguchi, Y. Okamura-Oho, "ViBrism database for gene expression maps and co-expression networks analysis on the 3D brain", Neuroscience, 2017.
  • Y. Nakagawa, A. Saito, J. Hata, S. Takemoto, Y. Komaki, E. Sasaki, H. Okano, H. Yokota, and A. Shimizu, "MRI Image Segmentation of Marmoset Brain Using Prediction of Shape Development by Gaussian Process", International Forum on Medical Imaging in Asia, 2017.
• 2016:
  • T. Sera, H. Kuninaga, K. Fukasaku, H. Yokota, and M. Tanaka, "Influence of Standardization of Airway Geometry on Airflow and Particle Transport", Summer Biomechanics, Bioengineering, and Biotransport Conference, 2016.
  • Y. Okamura-Oho, K. Shimokawa, M. Morita, M. Nishimura, and H. Yokota, "Anatomical and topological expression analysis of the mouse transcriptome in the virtual 3D MRI image spaces of the postnatal brain stages", Neuroinformatics, 2016.
• 2015:
  • H. Kuninaga, T. Sera, K. Fukasaku, H. Yokota, and M. Tanaka, "Effect of heterogeneous ventilation on the airway flow and particle deposition in human lung", Asian Pacific Conference on Biomechanics, 2015.
• 2014:
  • G. Tanaka, F. Araki, S. Shimizu, T. Sera, H. Yokota, and K. Ono, "Voxel-Based Simulation of Air-Conditioning in the Human Nasal Cavity", International Heat Transfer Conference, Kyoto, Japan, 2014.
  • F. Costen, H. Almeer, J.-P. Berenger, R. Himeno, and H. Yokota, "Huygens Absorbing Boundary Condition", IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Memphis, Tennessee, USA, 2014.
  • F. Costen, J.-P. Berenger, R. Himeno, and H. Yokota, "Scaling the Huygens Absorbing Boundary Condition code on shared memory architecture", International Conference on Computation in Electromagnetics, Imperial College London, UK, 2014.
  • T. Kai, T. Shinohara, K. Oikawa, M. Segawa, H. Iikura, M. Harada, T. Nakatani, M. Ooi, H. Sato, T. Kamiyama, H. Yokota, T. Sera, K. Mochiki, and Y. Kiyanagi, "Progress of Constructing Energy-Resolved Neutron Imaging System at J-PARC MLF", International Workshop on Neutron Wavelength Dependent Imaging, Technische Universitaut Munchen, Garching, Germany, 2014.
• 2013:
  • S. Yoshizawa and H. Yokota, "Filtering and Registration of Cell and Intracellular Images", Invited, SEP: School of Engineering & Physical Sciences Seminar, Heriot-Watt University, Edinburgh, UK, 2013
  • S. Yoshizawa, "Shape Aesthetics and Features via Möbius Invariants", Invited, Institute of Perception, Action and Behaviour Seminar, Edinburgh University, Edinburgh, UK, 2013.
  • S. Yoshizawa and H. Yokota, "Poisson Image Analogy: Texture-Aware Seamless Cloning", EUROGRAPHICS, Refereed poster, Poster Proc. pp. 5-6, Girona, Spain, 2013. Springer Prize for the Best Eurographics Poster 2013.
  • K. Fukasaku, M. Negoro, H. Yokota, T. Sera, Y. Yamagata, Y. Ootake, K. Hirota, K. Yamazawa, S. Morita, K. Fukui, Y. Konishi, I. Nara, and S. Shiokawa, "Three dimensional structure of detached coils in aneurysm by neutron beam CT", the 12th Congress of the WFITN, Buenos Aires, Argentina, 2013.
  • K. Fukasaku, M. Negoro, H. Yokota, S. Nakamura, T. Ijiri, M. Morita, I. Nara, Y. Konishi, Y. Shiokawa, Y. Konishi, I. Nara, and S. Shiokawa, "Fine structure at the tail of detachable coils", the 12th Congress of the WFITN, Buenos Aires, Argentina, 2013.
  • M. Negoro, K. Fukasaku, A. Miyazaki, T. Tanaka, and K. Irie, "Hyperperfusion Sunfrome after Coil Embolization of Cerebral Aneurysms", the 12th Congress of the WFITN, Buenos Aires, Argentina, 2013.
  • M. Negoro, F. Arai, T. Fukuda, K. Fukasaku, I. akahashi, and K. Irie, "In vitro Evaluation of Vascular Stress During Aneurysm Embolization", the 12th Congress of the WFITN, Buenos Aires, Argentina, 2013.
• 2012:
  • Y. Sato, K. Akita, T. Ijiri, T. Yuichiro, M. Ito, H. Yokota, and N. Saito, "The diversity of pelvic floor by MRI image analysis and histologic reevaluation of its anatomy", The 1st Congress of the Asian Association of Clinical Anatomists, poster, Busan, Korea, 2012.
• 2011:
  • S. Yoshizawa, T. Fujiwara, M. Fukuda, and H. Yokota, "Tracking Melanosomes via Particle Filter with Lloyd Partitioning", International Conference on Systems Biology, Refereed, poster, Mannheim, Germany, 2011.
  • T. Ijiri, T. Ashihara, N. Umetani, R. Haraguchi, H. Yokota, T. Igarashi, and K. Nakazawa, "An Efficient, Robust Framework For Simulating the Beating Heart", 23rd Conference of the Society for Medical Innovation and Technology, Tel Aviv, Israel, 2011.
  • Y. Sato, T. Ijiri, T. Kobayashi, H. Yokota, and M. Ito, "Semi-automatic Segmentation Tool for Anal Sphincter Muscles", 23rd Conference of the Society for Medical Innovation and Technology, Tel Aviv, Israel, 2011.
  • K. Hirota, Y. Yamagata, Y. Otake, S. Morita, J. Ju, S. Wang, H. Yokota, T. Sera, and Y. Iwashita, "Development of imaging detector for low neutron flux", 2nd Meeting of The Union for Compact Accelerator-driven Neutron Sources (UCANS-II)", Bloomington, USA, 2011.
  • K. Hirota, Y. Yamagata, Y. Otake, S. Morita, J. Ju, S. Wang, H. Yokota, and T. Sera, "Neutron radiography for industrial materials measurement and development of imaging detector for low neutron flux", 1st Asia-Oceania Conference on Neutron Scattering (1st AOCNS), Tsukuba, Japan, 2011.
• 2010:
  • S. Takemoto and H. Yokota, "A Supervised Evaluation System of Intracellular Image Segmentation", Invited, Institute of Perception, Action and Behaviour Seminar, Edinburgh University, Edinburgh, UK, 2010.
  • S. Yoshizawa, A. Belyaev, and H. Yokota, "Curvature-based Multidimensional Image Creases", Invited, Institute of Perception, Action and Behaviour Seminar, Edinburgh University, Edinburgh, UK, 2010.
  • T. Koyama, N. Honda, S. Yoshizawa, Y. Sunaga, S. Noda, S. Ishii, and H. Yokota, "Cell Simulations with Complex 3D Shapes", International Conference on Systems Biology, Refereed, poster, Edinburgh, UK, 2010.
  • S. Takemoto, S. Yoshizawa, and H. Yokota, "A Performance Prediction System for Automatic Intracellular Image Quantization", International Conference on Systems Biology, Refereed, poster, Edinburgh, UK, 2010.
  • Y. Sunaga, S. Yoshizawa, S. Noda, T. Koyama, Y. Tsujimura, and H. Yokota, "A novel simulation platform for cell biochemical reactions, diffusions, and membrane functions", International Conference on Systems Biology, Refereed, poster, Edinburgh, UK, 2010.
  • S. Yoshizawa, A. Belyaev, and H. Yokota, "Feature-Preserving Filters for Biomedical Image Denoising and Clustering", International Conference on Systems Biology, Refereed, poster, Edinburgh, UK, 2010.
  • S. Morita, Y. Yamagata, K. Hirota, S. Mihara, D. T. Dung, H. Sunaga, T. Sera, H. Yokota, T. Shinohara, N. Metoki, and A. Makinouchi, "Neutron radiography for the structural simulation using VCAD system", 19th Meeting of the International Collaboration on Advanced Neutron Sources, poster, Grindelwald, Switzerland, 2010.
  • Y. Nagai, Y. Ohtake, and H. Suzuki, "Differential Operators on Arbitrary Dimensional PU Spherical Covers", International Conference on Curves and Surfaces, Avignon, France, 2010.
  • T. Sakata, G. Tanaka, T. Sera, N. Kakusho, H. Yokota, K. Ono, and S. Takagi, "Voxel-based modeling of flow in the nasal cavities", Computer Methods in Biomechanics and Biomedical Engineering, Valencia, Spain, 2010.
  • S. Oota, A. Yoshiki, H. Yokota, Y. Obata, Y. Nakamura, R. Himeno, "Of Mice and Men: Biomechanical Modeling as a Tool to Translate Bone Biology Research into Clinical Practice", World Congress on Biomechanics (WCB2010), Singapore Singapore, 2010.
  • S. Oota, N. Kakusho, Y. Ikegami, K. Mekada, K. Ayusawa, H. Imagawa, Y. Obata, R. Himeno, H. Yokota, Y. Nakamura, and A. Yoshiki, "Homology Mapping: Development of the Mouse Hindlimb Musculoskeletal Model Using the Human Musculoskeletal Model and Scleraxis(SCX)-GFP Mouse", 24th International Mammalian Genome Conference (IMGC2010), Crete, Greece, 2010.
  • S. Morita, Y. Yamagata, K. Hirota, S. Mihara, T. Dinh, H. Sunaga, T. Sera, H. Yokota, T. Shinohara, N. Metoki, A. Makinouchi, "Thermal neutron radiography and structural simulation using VCAD system software", 1st Meeting of The Union for Compact Accelerator-driven Neutron Sources (UCANS-I), Beijing, China, 2010.
• 2009:
  • S. Takemoto and H. Yokota, "Parallelized Performance Evaluation of Image Segmentation Algorithm by using the Linux Cluster on RICC", Supercomputing, poster, Oregon, USA, 2009.
  • H. Yokota, K. Fujisaki, N. Furushiro, Y. Yamagata, and N. Yamashita, "Three-dimensional internal structure observation for industrial materials by means of high precision serial sectioning system", Invited, Eighteenth International Conference on Processing and Fabrication of Advanced Materials, Sendai, Japan, 2009.
  • S. Yoshizawa, A. Belyaev, and H. Yokota, "Fast Bilateral Image and Volume Processing", Invited, ERPem: Signal and Image Processing Joint Seminar, Heriot-Watt University, Edinburgh, UK, 2009.
  • S. Yoshizawa, A. Belyaev, H. Yokota, and H. Seidel, "On surface ridges and their use for shape analysis", Invited, Institute of Perception, Action and Behaviour Seminar, Edinburgh University, Edinburgh, UK, 2009.
  • S. Yoshizawa, A. Belyaev, and H. Yokota, "A Novel Approach for Fast and Accurate Bilateral Filtering", Invited, CG Lunch Talk, Max-Planck-Institut fuer Informatik, Saarbruecken, Germany, 2009.
  • A. Waggoner, T. Oda, R. Kinugasa, K. Ueno, K. Cheng, H. Yokota, and R. Himeno, "DTI based muscle fiber tractography in humans at 4 Tesla using stimulated-echos", ISMRM 17th Annual Meeting and Exhibition, Honolulu, USA, 2009.
• 2008:
  • S. Yoshizawa and H. Yokota, "Image & Geometry Processing for Cell Biology", Invited, ERPem: Signal and Image Processing Joint Seminar, Heriot-Watt University, Edinburgh, UK, 2008.
  • S. Yoshizawa, and H. Yokota, "Volume Processing for Cell Biology", Invited, Interactive Media Technology Group Seminar, Durham University, Durham, UK, 2008.
  • S. Yoshizawa, A. Belyaev, and H.-P. Seidel, "Natural-Looking Variational Mesh Deformations", Invited, Journal Club: Vision, Image & Signal Processing Group Seminar, Heriot-Watt University, Edinburgh, UK, 2008.
• 2007:
  • M. Takahashi, M. Murate, M. Fukuda, S. Sato, O. Akinori, T. Kobayashi, "Cholesterol controls lipid endocytosis through rab11", International Symposium on Membrane Traffic, Awaji, Japan 2007.
  • H. Yokota, N. Kakusho, K. Mekada, A. Murakami, S. Nakamura, M. Ito, K. Kase, S. Oota, K. Fukami, H. Masuya, S. Wakana, K. Moriwaki, T. Shiroishi, R. Himeno, Y. Obata, and A. Yoshiki, "High-Resolution full color digital mouse anatomy by three-dimensional internal structure microscopy", 21st International Mammalian Genome Conference, Kyoto, Japan, 2007.
  • K. Fujisaki, H. Yokota, N. Furushiro, S. Komatani, S. Ohzawa, Y. Sato, R. Himeno, T. Higuchi, and A. Makinouchi, "Three-dimensional Microscopic Elemental Analyses based on X-ray Fluorescence Analysis combined with NC High-precision Machining Process", 19th International Congress on X-Ray Optics and Microanalysis, Kyoto, Japan, 2007.
• 2006:
  • H. Yokota, M. Nishimura, K. Fukasaku, S. Noda, H. Shimai, S. Nakamura, R. Himeno, and A. Makinouchi, "Construction of Integrated Mechanical Simulation Model of Whole Body for Alive Human", World Congress on Medical Physics and Biomedical Engineering, Seoul Korea, 2006.
  • D. Kobayashi, H. Yokota, S. Morishita, S. Nakamura, R. Himeno, T. Mishima, and K. Fukasaku, "Quantitative Representation of Cerebral Aneurysm by Tree Graph", 31st Congress & 15th Advanced Course and 3rd International Intracranial Stent Meeting, Geneva, Switzerland, 2006.
• 2005:
  • M. Takeuchi, H. Yokota, F. Raible, M. Brand, H. Okamoto, and I. Masai, "Vax transcription factory control cell movement of optic stalk and formation of optic cup", 4th European Zebrafish Genetics and Development Meeting, Dresden, Germany, 2005.
• 2004:
  • H. Yokota, S. Nakamura, N. Kakusho, R. Kawaguchi, H. Yabe, A. Makinouchi, R. Himeno, and T. Higuchi, "New anatomy with three dimension internal structure microscope device", 16th International Congress of the IFAA: Anatomical Science from Gene to Body, Kyoto, Japan, 2004.
  • J. Kimura, Y. Hirano, S. Takemoto, Y. Nanbo, G. Ishinazaka, R. Himeno, T. Mishima, S. Tumagari, and H. Yokota, "Three-dimensional reconstruction of the equine ovary", 16th International Congress of the IFAA: Anatomical Science from Gene to Body, Kyoto, Japan, 2004.

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Remarks: the following list includes the part of international publications and presentations, where their authors or presenters are/were the members of "Image Processing Research Team", "Bio-research Infrastructure Construction Team", or "VCAT Development Team". Here the domestic publications and presentations are excluded. See also the author's/presenter's own pages for their complete lists of publications and presentations.

(C) 2008~ Image Processing Research Team, RIKEN, Japan. All rights reserved.