Semi-automated color segmentation from a biological cross-sectional image series: follicle segmentation from the equine ovary. - Satoko Takemoto; Taketoshi Mishima; Ryutaro Himeno; Junpei Kimura; Shigehisa Tsumagari; Hideo Yokota; Sakiko Nakamura; Yasuo Nambo (SMC (4), 2004)

Fast and Faithful Geometric Algorithm for Detecting Crest Lines on Meshes. - Shin Yoshizawa 001; Alexander G. Belyaev; Hideo Yokota; Hans-Peter Seidel (PG, 2007)

Simulations of Needle Insertion by Using a Eulerian Hydrocode FEM and the Experimental Validations. - Hiroyuki Kataoka; Shigeho Noda; Hideo Yokota; Shu Takagi; Ryutaro Himeno; Shigenobu Okazawa (MICCAI (2), 2008)

Fast, robust, and faithful methods for detecting crest lines on meshes. - Shin Yoshizawa 001; Alexander G. Belyaev; Hideo Yokota; Hans-Peter Seidel (Comput. Aided Geom. Des., 2008)

Finite element analysis of blood flow and heat transfer in an image-based human finger. - Ying He; Hao Liu 016; Ryutaro Himeno; Junko Sunaga; Nobunori Kakusho; Hideo Yokota (Comput. Biol. Medicine, 2008)

Trial Formation of Artificial Bone by Inkjet Powder-Layered Manufacturing. - Kenji Yamazawa; Masahiro Anzai; Hideo Yokota; Ryutaro Himeno; Hiroshi Suzuki; Hiroyuki Narahara; Shigeki Suzuki (Int. J. Autom. Technol., 2008)

Algorithm Selection for Intracellular Image Segmentation Based on Region Similarity. - Satoko Takemoto; Hideo Yokota (ISDA, 2009)

Intracellular Volume Registration. - Shin Yoshizawa 001; Satoko Takemoto; Miwa Takahashi; Makoto Muroi; Sayaka Kazami; Hiromi Miyoshi; Hideo Yokota (ISDA, 2009)

ProcDef: Local-to-global Deformation for Skeleton-free Character Animation. - Takashi Ijiri; Kenshi Takayama; Hideo Yokota; Takeo Igarashi (Comput. Graph. Forum, 2009)

Contour-based Interface for Refining Volume Segmentation. - Takashi Ijiri; Hideo Yokota (Comput. Graph. Forum, 2010)

Fast Gauss Bilateral Filtering. - Shin Yoshizawa 001; Alexander G. Belyaev; Hideo Yokota (Comput. Graph. Forum, 2010)

Interactive Registration of Intracellular Volumes with Radial Basis Functions. - Shin Yoshizawa 001; Satoko Takemoto; Miwa Takahashi; Makoto Muroi; Sayaka Kazami; Hiromi Miyoshi; Hideo Yokota (Int. J. Comput. Intell. Appl., 2010)

Poisson Image Analogy: Texture-Aware Seamless Cloning. - Shin Yoshizawa 001; Hideo Yokota (Eurographics (Posters), 2013)

Biomedical Image Communication Platform. - Masahiko Morita; Takehiro Tawara; Masaomi Nishimura; Shin Yoshizawa 001; Bukai Chou; Ippei Kuroki; Takashi Ijiri; Yuki Tsujimura; Ryutaro Himeno; Hideo Yokota (CANDAR, 2013)

A Novel Performance Evaluation System for Fluorescent Cell Image Segmentation. - Satoko Takemoto; Shin Yoshizawa 001; Yuki Tsujimura; Hideo Yokota (CANDAR, 2013)

Bilateral Hermite Radial Basis Functions for Contour-based Volume Segmentation. - Takashi Ijiri; Shin Yoshizawa 001; Yu Sato; Masaaki Ito; Hideo Yokota (Comput. Graph. Forum, 2013)

Boundary-representable partition of unity for image magnification. - Yukie Nagai; Yutaka Ohtake; Hideo Yokota; Hiromasa Suzuki (Sci. China Inf. Sci., 2013)

Volume-based shape analysis for internal microstructure of steels. - Norio Yamashita; Shin Yoshizawa 001; Hideo Yokota (ICIP, 2014)

Fast L1 Gaussian convolution via domain splitting. - Shin Yoshizawa 001; Hideo Yokota (ICIP, 2014)

Communication Platform for Image Analysis and Sharing in Biology. - Masahiko Morita; Takehiro Tawara; Masaomi Nishimura; Shin Yoshizawa 001; Bukai Chou; Ippei Kuroki; Takashi Ijiri; Yuki Tsujimura; Ryutaro Himeno; Hideo Yokota (Int. J. Netw. Comput., 2014)

Flower modeling via X-ray computed tomography. - Takashi Ijiri; Shin Yoshizawa 001; Hideo Yokota; Takeo Igarashi (ACM Trans. Graph., 2014)

Fluorescence Microscopy Image Processing and Visualization for Analyzing Cell Kinematics, Proliferation and Attachment in Mouse Embryonic Stem Cell Culture. - Yuan-Hsiang Chang; Hideo Yokota; Kuniya Abe; Chih-Cheng Li; Ming-Dar Tsai (BIBE, 2016)

Detection and localization of mouse induced pluripotent stem cell formation using time-lapse fluorescence microscopy images. - Yuan-Hsiang Chang; Hideo Yokota; Kuniya Abe; Jung Hsien Liu; Ming-Dar Tsai (EMBC, 2016)

3D Segmentation, Visualization and Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells using Time-Lapse Fluorescence Microscopy Images. - Yuan-Hsiang Chang; Hideo Yokota; Kuniya Abe; Chun-Chi Chen; Ming-Dar Tsai (BIBE, 2017)

Human induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks. - Yuan-Hsiang Chang; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Cheng-Yu Lin; Ming-Dar Tsai (EMBC, 2017)

Three-Dimensional Observation of Microstructure of Bone Tissue Using High-Precision Machining. - Naomichi Furushiro; Hideo Yokota; Sakiko Nakamura; Kazuhiro Fujisaki; Yutaka Yamagata; Mitsunori Kokubo; Ryutaro Himeno; Akitake Makinouchi; Toshiro Higuchi (Int. J. Autom. Technol., 2017)

Three-Dimensional Segmentation of Mouse Embryonic Stem Cell Nuclei for Quantitative Analysis of Differentiation Activity Using Time-Lapse Fluorescence Microscopy Images. - Yuan-Hsiang Chang; Hideo Yokota; Kuniya Abe; Ming-Dar Tsai (BIBE, 2018)

Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network. - Yoshimasa Sakai; Satoko Takemoto; Keisuke Hori; Masaomi Nishimura; Hiroaki Ikematsu; Tomonori Yano; Hideo Yokota (EMBC, 2018)

Volume Manipulation Based on 3D Reconstructed Surfaces for Joint Function Evaluation and Surgery Simulation. - Hideo Yokota (EMBC, 2018)

Trimmed Median PCA for Robust Plane Fitting. - Suguru Miyagawa; Shin Yoshizawa 001; Hideo Yokota (ICIP, 2018)

A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Xiong Wei 001; Yen-Wei Chen 001 (ICNC-FSKD, 2018)

A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Wei Xiong 001; Yen-Wei Chen 001 (CoRR, 2018)

Evaluation of laser-induced plasma ablation focusing on the difference in pulse duration. - Kohei Akimoto; Satoki Tsuichihara; Toshihiro Takamatsu; Kohei Soga; Hideo Yokota; Masaaki Ito; Naoto Gotoda; Hiroshi Takemura (EMBC, 2019)

Deep Learning Classification Models Built with Two-step Transfer Learning for Age Related Macular Degeneration Diagnosis. - Guangzhou An; Hideo Yokota; Naohiro Motozawa; Seiji Takagi; Michiko Mandai; Shohei Kitahata; Yasukiko Hirami; Masayo Takahashi; Yasuo Kurimoto; Masahiro Akiba (EMBC, 2019)

Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN. - Yuan-Hsiang Chang; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Slo-Li Chu; Chih-Yung Hsu; Ming-Dar Tsai (EMBC, 2019)

Retinal Thickness Analysis in High Myopia based on Medial Axis Transforms. - Takashi Michikawa; Satoshi Wada; Hideo Yokota; Guangzhou An; Masahiro Akiba; Kazuko Omodaka; Toru Nakazawa (EMBC, 2019)

A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image. - Titinunt Kitrungrotsakul; Yutaro Iwamoto; Xian-Hua Han; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Xiong Wei 001; Yen-Wei Chen 001 (ICASSP, 2019)

ViBrism DB: an interactive search and viewer platform for 2D/3D anatomical images of gene expression and co-expression networks. - Masahiko Morita; Kazuro Shimokawa; Masaomi Nishimura; Sakiko Nakamura; Yuki Tsujimura; Satoko Takemoto; Takehiro Tawara; Hideo Yokota; Shuhei Wemler; Daisuke Miyamoto; Hidetoshi Ikeno; Akira Sato; et al. (Nucleic Acids Res., 2019)

CNN Based iPS Cell Formation Stage Classifier for Human iPS Cell Growth Status Prediction Using Time-lapse Microscopy Images. - Slo-Li Chu; Li-Yu Lin; Ming-Dar Tsai; Kuniya Abe; Kazuhiro Sudo; Yukio Nakamura; Hideo Yokota (BIBE, 2020)

Trend Training Based RNN for Human Induced Pluripotent Stem Cell Reprogramming Prediction Using Time-Lapse Microscopy Images. - Slo-Li Chu; Shao-Yu Sung; Ming-Dar Tsai; Kuniya Abe; Kazuhiro Sudo; Yukio Nakamura; Hideo Yokota (BIBE, 2020)

Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images. - Slo-Li Chu; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Yuan-Hsiang Chang; Liang-Che Fang; Ming-Dar Tsai (EMBC, 2020)

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. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Wei Xiong 001; Yen-Wei Chen 001 (Neural Comput. Appl., 2020)

High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns. - Slo-Li Chu; Kuniya Abe; Hideo Yokota; Dooseon Cho; Yuan-Hao Chen; Ming-Dar Tsai (EMBC, 2021)

Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images. - Hideo Yokota; Kuniya Abe; Yuan-Hsiang Chang; Dooseon Cho; Ming-Dar Tsai; Pin-Han Huang (EMBC, 2021)

Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images. - Titinunt Kitrungrotsakul; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Lanfen Lin; Ruofeng Tong 001; Jingsong Li 001; Yen-Wei Chen 001 (BMC Bioinform., 2021)

Accurate and real-time human-joint-position estimation for a patient-transfer robot using a two-level convolutional neutral network. - Mengqian Chen; Jiang Wu; Shunda Li; Jinyue Liu; Hideo Yokota; Shijie Guo (Robotics Auton. Syst., 2021)

Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging. - Toshihiro Takamatsu; Yuichi Kitagawa; Kohei Akimoto; Ren Iwanami; Yuto Endo; Kenji Takashima; Kyohei Okubo; Masakazu Umezawa; Takeshi Kuwata; Daiki Sato; Tomohiro Kadota; Tomohiro Mitsui; et al. (Sensors, 2021)

A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Wei Xiong 001; Yen-Wei Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments. - Loukas Xanthos; Mehmet Emre Yavuz; Ryutaro Himeno; Hideo Yokota; Fumie Costen (IEEE Trans. Computational Imaging, 2021)

Fast and faithful scale-aware image filters. - Shin Yoshizawa 001; Hideo Yokota (Vis. Comput., 2021)

Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images. - Slo-Li Chu; Kazuhiro Sudo; Kuniya Abe; Hideo Yokota; Yukio Nakamura; Guan-Ting Liou; Ming-Dar Tsai (EMBC, 2022)

U-net structures for segmentation of single mouse embryonic stem cells using three-dimensional confocal microscopy images. - Slo-Li Chu; Hideo Yokota; Kuniya Abe; Dooseon Cho; Ming-Dar Tsai (EMBC, 2022)

Adaptive and Dynamic Regularization for Rolling Guidance Image Filtering. - Miku Fukatsu; Shin Yoshizawa 001; Hiroshi Takemura; Hideo Yokota (PG (Short Papers, Posters, and Work-in-Progress Papers), 2022)

Quantitative Analyses for Early Tempo-spatial Patterning of Differentiated Human Induced Pluripotent Stem Cells on Micropatterns using Time-lapse Bright-field Microscopy Images. - Slo-Li Chu; Kuniya Abe; Kuan-Ting Lin; Hideo Yokota; Dooseon Cho; Ming-Dar Tsai (EMBC, 2023)

Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images. - Slo-Li Chu; Hideo Yokota; Hao-Lun Hsieh; Kuniya Abe; Dooseon Cho; Ming-Dar Tsai (EMBC, 2023)

Hyperspectral imaging and detection mapping of in vivo biological tissues applying near-infrared laparoscope. - Ryodai Fukushima; Toshihiro Takamatsu; Akino Mori; Kounosuke Sato; Kyohei Okubo; Masakazu Umezawa; Nobuyoshi Takeshita; Hiro Hasegawa; Hideo Yokota; Kohei Soga; Hiroshi Takemura (Image-Guided Procedures, 2023)

Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods. - Slo-Li Chu; Kazuhiro Sudo; Hideo Yokota; Kuniya Abe; Yukio Nakamura; Ming-Dar Tsai (Comput. Methods Programs Biomed., 2023)

Volume Manipulations for Assisting Joint Surgery Diagnoses and Simulations. - Ming-Shium Hsieh; Hideo Yokota; Ming-Dar Tsai (J. Inf. Sci. Eng., 2023)

Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy Image. - Slo-Li Chu; Hideo Yokota; Pai-Ting Wang; Kuniya Abe; Yohei Hayashi; Dooseon Cho; Ming-Dar Tsai (EMBC, 2024)

Image Compressed Sensing Based on Vision-Inspired Importance Maps. - Shunra Yoshida; Zhe Sun; Shin Yoshizawa 001; Takashi Michikawa; Shigeho Noda; Ruggero Micheletto; Hideo Yokota (IST, 2024)

Detection of Exposed Nerves in Two Individuals In Vivo and Unexposed Nerves Ex Vivo with Near-Infrared Hyperspectral Laparoscope. - Ryodai Fukushima; Toshihiro Takamatsu; Kounosuke Sato; Abian Hernandez-Guedes; Gustavo M. Callicó; Kyohei Okubo; Masakazu Umezawa; Hideo Yokota; Kohei Soga; Hiroshi Takemura (SII, 2024)

Bilateral Half-Box Image Filtering. - Miku Fukatsu; Shin Yoshizawa 001; Hiroshi Takemura; Hideo Yokota (Int. J. Autom. Technol., 2024)

Topological Delaunay Graph for Efficient 3D Binary Image Analysis. - Shin Yoshizawa 001; Takashi Michikawa; Hideo Yokota (Int. J. Autom. Technol., 2024)