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ORCIDHideo Yokota
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2020 – today
- 2024
[j24]Miku Fukatsu
, Shin Yoshizawa, Hiroshi Takemura, Hideo Yokota:
Bilateral Half-Box Image Filtering. Int. J. Autom. Technol. 18(3): 427-432 (2024)- [j23]Shin Yoshizawa, Takashi Michikawa, Hideo Yokota:
Topological Delaunay Graph for Efficient 3D Binary Image Analysis. Int. J. Autom. Technol. 18(5): 632-650 (2024) - [c36]Ryodai Fukushima, Toshihiro Takamatsu, Kounosuke Sato, Abian Hernandez-Guedes, Gustavo Marrero Callicó, Kyohei Okubo, Masakazu Umezawa, Hideo Yokota, Kohei Soga, Hiroshi Takemura:
Detection of Exposed Nerves in Two Individuals In Vivo and Unexposed Nerves Ex Vivo with Near-Infrared Hyperspectral Laparoscope. SII 2024: 19-24 - 2023
- [j22]Slo-Li Chu, Kazuhiro Sudo, Hideo Yokota, Kuniya Abe, Yukio Nakamura, Ming-Dar Tsai:
Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods. Comput. Methods Programs Biomed. 229: 107264 (2023) - [j21]Ming-Shium Hsieh, Hideo Yokota, Ming-Dar Tsai:
Volume Manipulations for Assisting Joint Surgery Diagnoses and Simulations. J. Inf. Sci. Eng. 39(5): 1155-1168 (2023) - [c35]Slo-Li Chu, Kuniya Abe, Kuan-Ting Lin, Hideo Yokota, Dooseon Cho, Ming-Dar Tsai:
Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy Images. EMBC 2023: 1-4 - [c34]Slo-Li Chu, Hideo Yokota, Hao-Lun Hsieh, Kuniya Abe, Dooseon Cho, Ming-Dar 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. EMBC 2023: 1-4 - [c33]Ryodai Fukushima, Toshihiro Takamatsu, Akino Mori, Kounosuke Sato, Kyohei Okubo, Masakazu Umezawa, Nobuyoshi Takeshita, Hiro Hasegawa, Hideo Yokota, Kohei Soga, Hiroshi Takemura:
Hyperspectral imaging and detection mapping of in vivo biological tissues applying near-infrared laparoscope. Medical Imaging: Image-Guided Procedures 2023 - 2022
- [c32]Slo-Li Chu, Hideo Yokota, Kuniya Abe, Dooseon Cho, Ming-Dar Tsai:
U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy images. EMBC 2022: 512-515 - [c31]Slo-Li Chu, Kazuhiro Sudo, Kuniya Abe, Hideo Yokota, Yukio Nakamura, Guan-Ting Liou, Ming-Dar Tsai:
Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images. EMBC 2022: 2029-2032 - [c30]Miku Fukatsu, Shin Yoshizawa, Hiroshi Takemura, Hideo Yokota:
Adaptive and Dynamic Regularization for Rolling Guidance Image Filtering. PG (Short Papers, Posters, and Work-in-Progress Papers) 2022: 43-48 - 2021
- [j20]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei 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 Bioinform. 22(1): 91 (2021) - [j19]Mengqian Chen, Jiang Wu, Shunda Li, Jinyue Liu, Hideo Yokota, Shijie Guo:
Accurate and real-time human-joint-position estimation for a patient-transfer robot using a two-level convolutional neutral network. Robotics Auton. Syst. 139: 103735 (2021) - [j18]Toshihiro Takamatsu, Yuichi Kitagawa, Kohei Akimoto, Ren Iwanami, Yuto Endo, Kenji Takashima, Kyohei Okubo, Masakazu Umezawa, Takeshi Kuwata, Daiki Sato, Tomohiro Kadota, Tomohiro Mitsui, Hiroaki Ikematsu, Hideo Yokota, Kohei Soga, Hiroshi Takemura:
Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging. Sensors 21(8): 2649 (2021) - [j17]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 396-404 (2021) - [j16]Loukas Xanthos, Mehmet Emre Yavuz, Ryutaro Himeno, Hideo Yokota, Fumie Costen:
Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments. IEEE Trans. Computational Imaging 7: 925-934 (2021) - [j15]Shin Yoshizawa, Hideo Yokota:
Fast and faithful scale-aware image filters. Vis. Comput. 37(12): 3051-3062 (2021) - [c29]Hideo Yokota, Kuniya Abe, Yuan-Hsiang Chang, Dooseon Cho, Ming-Dar Tsai, Pin-Han Huang:
Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images. EMBC 2021: 2944-2947 - [c28]Slo-Li Chu, Kuniya Abe, Hideo Yokota, Dooseon Cho, Yuan-Hao Chen, Ming-Dar Tsai:
High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns. EMBC 2021: 3713-3716 - 2020
- [j14]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei 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 Comput. Appl. 32(10): 5669-5679 (2020) - [c27]Slo-Li Chu, Shao-Yu Sung, Ming-Dar Tsai, Kuniya Abe, Kazuhiro Sudo, Yukio Nakamura, Hideo Yokota:
Trend Training Based RNN for Human Induced Pluripotent Stem Cell Reprogramming Prediction Using Time-Lapse Microscopy Images. BIBE 2020: 140-146 - [c26]Slo-Li Chu, Li-Yu Lin, Ming-Dar Tsai, Kuniya Abe, Kazuhiro Sudo, Yukio Nakamura, Hideo Yokota:
CNN Based iPS Cell Formation Stage Classifier for Human iPS Cell Growth Status Prediction Using Time-lapse Microscopy Images. BIBE 2020: 616-621 - [c25]Slo-Li Chu, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, Yuan-Hsiang Chang, Liang-Che Fang, Ming-Dar Tsai:
Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images. EMBC 2020: 1820-1823
2010 – 2019
- 2019
- [j13]Masahiko Morita, Kazuro Shimokawa, Masaomi Nishimura, Sakiko Nakamura, Yuki Tsujimura, Satoko Takemoto, Takehiro Tawara, Hideo Yokota, Shuhei Wemler, Daisuke Miyamoto, Hidetoshi Ikeno, Akira Sato, Teiichi Furuichi, Norio Kobayashi, Yoshihiro Okumura, Yoko Shiraishi-Yamaguchi, Yuko Okamura-Oho:
ViBrism DB: an interactive search and viewer platform for 2D/3D anatomical images of gene expression and co-expression networks. Nucleic Acids Res. 47(Database-Issue): D859-D866 (2019) - [c24]Guangzhou An, Hideo Yokota, Naohiro Motozawa, Seiji Takagi, Michiko Mandai, Shohei Kitahata, Yasukiko Hirami, Masayo Takahashi, Yasuo Kurimoto, Masahiro Akiba:
Deep Learning Classification Models Built with Two-step Transfer Learning for Age Related Macular Degeneration Diagnosis. EMBC 2019: 2049-2052 - [c23]Yuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, Slo-Li Chu, Chih-Yung Hsu, Ming-Dar Tsai:
Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN. EMBC 2019: 2416-2419 - [c22]Takashi Michikawa, Satoshi Wada, Hideo Yokota, Guangzhou An, Masahiro Akiba, Kazuko Omodaka, Toru Nakazawa:
Retinal Thickness Analysis in High Myopia based on Medial Axis Transforms. EMBC 2019: 2805-2808 - [c21]Kohei Akimoto, Satoki Tsuichihara, Toshihiro Takamatsu, Kohei Soga, Hideo Yokota, Masaaki Ito, Naoto Gotoda, Hiroshi Takemura:
Evaluation of laser-induced plasma ablation focusing on the difference in pulse duration. EMBC 2019: 6987-6990 - [c20]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen:
A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image. ICASSP 2019: 1239-1243 - 2018
- [c19]Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Ming-Dar Tsai:
Three-Dimensional Segmentation of Mouse Embryonic Stem Cell Nuclei for Quantitative Analysis of Differentiation Activity Using Time-Lapse Fluorescence Microscopy Images. BIBE 2018: 299-304 - [c18]Hideo Yokota:
Volume Manipulation Based on 3D Reconstructed Surfaces for Joint Function Evaluation and Surgery Simulation. EMBC 2018: 969-972 - [c17]Yoshimasa Sakai, Satoko Takemoto, Keisuke Hori, Masaomi Nishimura, Hiroaki Ikematsu, Tomonori Yano, Hideo Yokota:
Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network. EMBC 2018: 4138-4141 - [c16]Suguru Miyagawa, Shin Yoshizawa, Hideo Yokota:
Trimmed Median PCA for Robust Plane Fitting. ICIP 2018: 753-757 - [c15]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen:
A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images. ICNC-FSKD 2018: 202-205 - [i1]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image. CoRR abs/1806.01018 (2018) - 2017
- [j12]Naomichi Furushiro, Hideo Yokota, Sakiko Nakamura, Kazuhiro Fujisaki, Yutaka Yamagata, Mitsunori Kokubo, Ryutaro Himeno, Akitake Makinouchi, Toshiro Higuchi:
Three-Dimensional Observation of Microstructure of Bone Tissue Using High-Precision Machining. Int. J. Autom. Technol. 11(6): 883-894 (2017) - [c14]Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Chun-Chi Chen, Ming-Dar Tsai:
3D Segmentation, Visualization and Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells using Time-Lapse Fluorescence Microscopy Images. BIBE 2017: 139-144 - [c13]Yuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura, Cheng-Yu Lin, Ming-Dar Tsai:
Human induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks. EMBC 2017: 4058-4061 - 2016
- [c12]Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Chih-Cheng Li, Ming-Dar Tsai:
Fluorescence Microscopy Image Processing and Visualization for Analyzing Cell Kinematics, Proliferation and Attachment in Mouse Embryonic Stem Cell Culture. BIBE 2016: 222-229 - [c11]Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Jung Hsien Liu, Ming-Dar Tsai:
Detection and localization of mouse induced pluripotent stem cell formation using time-lapse fluorescence microscopy images. EMBC 2016: 3914-3917 - 2014
- [j11]Masahiko Morita, Takehiro Tawara, Masaomi Nishimura, Shin Yoshizawa, Bukai Chou, Ippei Kuroki, Takashi Ijiri, Yuki Tsujimura, Ryutaro Himeno, Hideo Yokota:
Communication Platform for Image Analysis and Sharing in Biology. Int. J. Netw. Comput. 4(2): 369-391 (2014) - [j10]Takashi Ijiri, Shin Yoshizawa, Hideo Yokota, Takeo Igarashi:
Flower modeling via X-ray computed tomography. ACM Trans. Graph. 33(4): 48:1-48:10 (2014) - [c10]Shin Yoshizawa, Hideo Yokota:
Fast L1 Gaussian convolution via domain splitting. ICIP 2014: 2908-2912 - [c9]Norio Yamashita, Shin Yoshizawa, Hideo Yokota:
Volume-based shape analysis for internal microstructure of steels. ICIP 2014: 4887-4891 - 2013
- [j9]Takashi Ijiri, Shin Yoshizawa, Yu Sato, Masaaki Ito, Hideo Yokota:
Bilateral Hermite Radial Basis Functions for Contour-based Volume Segmentation. Comput. Graph. Forum 32(2): 123-132 (2013) - [j8]Yukie Nagai, Yutaka Ohtake, Hideo Yokota, Hiromasa Suzuki:
Boundary-representable partition of unity for image magnification. Sci. China Inf. Sci. 56(11): 1-12 (2013) - [c8]Shin Yoshizawa, Hideo Yokota:
Poisson Image Analogy: Texture-Aware Seamless Cloning. Eurographics (Posters) 2013: 5-6 - [c7]Masahiko Morita, Takehiro Tawara, Masaomi Nishimura, Shin Yoshizawa, Bukai Chou, Ippei Kuroki, Takashi Ijiri, Yuki Tsujimura, Ryutaro Himeno, Hideo Yokota:
Biomedical Image Communication Platform. CANDAR 2013: 281-287 - [c6]Satoko Takemoto, Shin Yoshizawa, Yuki Tsujimura, Hideo Yokota:
A Novel Performance Evaluation System for Fluorescent Cell Image Segmentation. CANDAR 2013: 294-299 - 2010
- [j7]Shin Yoshizawa, Alexander G. Belyaev, Hideo Yokota:
Fast Gauss Bilateral Filtering. Comput. Graph. Forum 29(1): 60-74 (2010) - [j6]Takashi Ijiri, Hideo Yokota:
Contour-based Interface for Refining Volume Segmentation. Comput. Graph. Forum 29(7): 2153-2160 (2010) - [j5]Shin Yoshizawa, Satoko Takemoto, Miwa Takahashi, Makoto Muroi, Sayaka Kazami, Hiromi Miyoshi, Hideo Yokota:
Interactive Registration of Intracellular Volumes with Radial Basis Functions. Int. J. Comput. Intell. Appl. 9(3): 207-224 (2010)
2000 – 2009
- 2009
- [j4]Takashi Ijiri, Kenshi Takayama, Hideo Yokota, Takeo Igarashi:
ProcDef: Local-to-global Deformation for Skeleton-free Character Animation. Comput. Graph. Forum 28(7): 1821-1828 (2009) - [c5]Shin Yoshizawa, Satoko Takemoto, Miwa Takahashi, Makoto Muroi, Sayaka Kazami, Hiromi Miyoshi, Hideo Yokota:
Intracellular Volume Registration. ISDA 2009: 1407-1412 - [c4]Satoko Takemoto, Hideo Yokota:
Algorithm Selection for Intracellular Image Segmentation Based on Region Similarity. ISDA 2009: 1413-1418 - 2008
- [j3]Shin Yoshizawa, Alexander G. Belyaev, Hideo Yokota, Hans-Peter Seidel:
Fast, robust, and faithful methods for detecting crest lines on meshes. Comput. Aided Geom. Des. 25(8): 545-560 (2008) - [j2]Ying He, Hao Liu, Ryutaro Himeno, Junko Sunaga, Nobunori Kakusho, Hideo Yokota:
Finite element analysis of blood flow and heat transfer in an image-based human finger. Comput. Biol. Medicine 38(5): 555-562 (2008) - [j1]Kenji Yamazawa, Masahiro Anzai, Hideo Yokota, Ryutaro Himeno, Hiroshi Suzuki, Hiroyuki Narahara, Shigeki Suzuki:
Trial Formation of Artificial Bone by Inkjet Powder-Layered Manufacturing. Int. J. Autom. Technol. 2(3): 156-161 (2008) - [c3]Hiroyuki Kataoka, Shigeho Noda, Hideo Yokota, Shu Takagi, Ryutaro Himeno, Shigenobu Okazawa:
Simulations of Needle Insertion by Using a Eulerian Hydrocode FEM and the Experimental Validations. MICCAI (2) 2008: 560-568 - 2007
- [c2]Shin Yoshizawa, Alexander G. Belyaev, Hideo Yokota, Hans-Peter Seidel:
Fast and Faithful Geometric Algorithm for Detecting Crest Lines on Meshes. PG 2007: 231-237 - 2004
- [c1]Satoko Takemoto, Taketoshi Mishima, Ryutaro Himeno, Junpei Kimura, Shigehisa Tsumagari, Hideo Yokota, Sakiko Nakamura, Yasuo Nambo:
Semi-automated color segmentation from a biological cross-sectional image series: follicle segmentation from the equine ovary. SMC (4) 2004: 3076-3081
Coauthor Index
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last updated on 2024-10-23 21:21 CEST by the dblp team
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