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Hideo Yokota
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2020 – today
- 2024
- [j24]Miku Fukatsu
, Shin Yoshizawa
Bilateral Half-Box Image Filtering. Int. J. Autom. Technol. 18(3): 427-432 (2024) - [j23]Shin Yoshizawa
Topological Delaunay Graph for Efficient 3D Binary Image Analysis. Int. J. Autom. Technol. 18(5): 632-650 (2024) - [c37]Shunra Yoshida, Zhe Sun, Shin Yoshizawa, Takashi Michikawa, Shigeho Noda, Ruggero Micheletto, Hideo Yokota:
Image Compressed Sensing Based on Vision-Inspired Importance Maps. IST 2024: 1-6 - [c36]Ryodai Fukushima, Toshihiro Takamatsu, Kounosuke Sato, Abian Hernandez-Guedes, Gustavo M. Callicó, Kyohei Okubo
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
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
Hyperspectral imaging and detection mapping of in vivo biological tissues applying near-infrared laparoscope. 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
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
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
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
Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging. Sensors 21(8): 2649 (2021) - [j17]Titinunt Kitrungrotsakul
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
Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments. IEEE Trans. Computational Imaging 7: 925-934 (2021) - [j15]Shin Yoshizawa
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
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
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
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
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
Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network. EMBC 2018: 4138-4141 - [c16]Suguru Miyagawa, Shin Yoshizawa
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
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
Flower modeling via X-ray computed tomography. ACM Trans. Graph. 33(4): 48:1-48:10 (2014) - [c10]Shin Yoshizawa
Fast L1 Gaussian convolution via domain splitting. ICIP 2014: 2908-2912 - [c9]Norio Yamashita
Volume-based shape analysis for internal microstructure of steels. ICIP 2014: 4887-4891 - 2013
- [j9]Takashi Ijiri, Shin Yoshizawa
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
Poisson Image Analogy: Texture-Aware Seamless Cloning. Eurographics (Posters) 2013: 5-6 - [c7]Masahiko Morita, Takehiro Tawara, Masaomi Nishimura, Shin Yoshizawa
Biomedical Image Communication Platform. CANDAR 2013: 281-287 - [c6]Satoko Takemoto, Shin Yoshizawa
A Novel Performance Evaluation System for Fluorescent Cell Image Segmentation. CANDAR 2013: 294-299 - 2010
- [j7]Shin Yoshizawa
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
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
ProcDef: Local-to-global Deformation for Skeleton-free Character Animation. Comput. Graph. Forum 28(7): 1821-1828 (2009) - [c5]Shin Yoshizawa
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
Fast, robust, and faithful methods for detecting crest lines on meshes. Comput. Aided Geom. Des. 25(8): 545-560 (2008) - [j2]Ying He
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
Fast and Faithful Geometric Algorithm for Detecting Crest Lines on Meshes. PG 2007: 231-237 - 2004
- [c1]Satoko Takemoto
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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