Hidekata Hontani

According to our database, Hidekata Hontani authored at least 61 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma.

Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Adaptive Block Sparse Regularization Under Arbitrary Linear Transform.

Takanobu Furuhashi, Hidekata Hontani, Tatsuya Yokota

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.

Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Ken Tanaka, Yoshino Kawaguchi, Shigeo Nakamura, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi

Medical Image Anal., April, 2023

ADMM-MM Algorithm for General Tensor Decomposition.

Manabu Mukai, Hidekata Hontani, Tatsuya Yokota

CoRR, 2023

2022

Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior.

Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki

IEEE Trans. Neural Networks Learn. Syst., 2022

Bayesian Tensor Completion and Decomposition with Automatic CP Rank Determination Using MGP Shrinkage Prior.

Hiromu Takayama, Qibin Zhao, Hidekata Hontani, Tatsuya Yokota

SN Comput. Sci., 2022

Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records.

Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi

CoRR, 2022

Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches.

Tatsuya Yokota, Hidekata Hontani

CoRR, 2022

Subtype classification of malignant lymphoma using immunohistochemical staining pattern.

Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani

Int. J. Comput. Assist. Radiol. Surg., 2022

Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space.

Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.

Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi

CoRR, 2021

2020

Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images.

Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi

CoRR, 2020

Computing Valid P-Values for Image Segmentation by Selective Inference.

Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images.

Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior".

Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki

CoRR, 2019

Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation.

Mauricio Kugler, Yushi Goto, Yuki Tamura, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Akinobu Shimizu, Hidekata Hontani

Int. J. Comput. Assist. Radiol. Surg., 2019

Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization.

Tatsuya Yokota, Hidekata Hontani

IEEE Access, 2019

Re-staining Pathology Images by FCNN.

Masayuki Fujitani, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo-Serra, Hirokazu Kobayashi, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani, Hiroshi Ishikawa

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Spatiotemporal Statistical Model of Anatomical Landmarks on a Human Embryonic Brain.

Aoi Shinjo, Atsushi Saito, Tetsuya Takakuwa, Shigehito Yamada, Hidekata Hontani, Hiroshi Matsuzoe, Shoko Miyauchi, Ken'ichi Morooka, Akinobu Shimizu

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior.

Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata, Yuichi Kimura, Hidekata Hontani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting.

Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani

Int. J. Biomed. Imaging, 2018

Landmark-based reconstruction of 3D smooth structures from serial histological sections.

Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Hidekata Hontani, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image.

Tomoshige Shimomura, Mauricio Kugler, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains.

Mauricio Kugler, Yushi Goto, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space.

Tatsuya Yokota, Burak Erem, Seyhmus Guler, Simon K. Warfield, Hidekata Hontani

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Tensor Completion with Shift-invariant Cosine Bases.

Tatsuya Yokota, Hidekata Hontani

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Simultaneous PET Image Reconstruction and Feature Extraction Method using Non-negative, Smooth, and Sparse Matrix Factorization.

Kazuya Kawai, Hidekata Hontani, Tatsuya Yokota, Muneyuki Sakata, Yuichi Kimura

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

A Spatiotemporal Statistical Model for Eyeballs of Human Embryos.

Masashi Kishimoto, Atsushi Saito, Tetsuya Takakuwa, Shigehito Yamada, Hiroshi Matsuzoe, Hidekata Hontani, Akinobu Shimizu

IEICE Trans. Inf. Syst., 2017

Parametric PET Image Reconstruction via Regional Spatial Bases and Pharmacokinetic Time Activity Model.

Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani, Muneyuki Sakata, Yuichi Kimura

Entropy, 2017

Restoration of Temporal Image Sequence from a Single Image Captured by a Correlation Image Sensor.

Kohei Kawade, Akihiro Wakita, Tatsuya Yokota, Hidekata Hontani, Shigeru Ando

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm.

Tatsuya Yokota, Hidekata Hontani

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization.

Tatsuya Yokota, Hidekata Hontani

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

A robust PET image reconstruction using constrained non-negative matrix factorization.

Kazuya Kawai, Junya Yamada, Hidekata Hontani, Tatsuya Yokota, Muneyuki Sakata, Yuichi Kimura

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

A New Parametric Description for Line Structures in 3D Medical Images by Means of a Weighted Integral Method.

Hidetoshi Goto, Takumi Naito, Hidekata Hontani

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

2015

A Study on Model Selection from the q-Exponential Distribution for Constructing an Organ Point Distribution Model.

Mitsunori Yamada, Hidekata Hontani, Hiroshi Matsuzoe

Proceedings of the Image and Video Technology - PSIVT 2015 Workshops, 2015

2014

Local Estimation of High Velocity Optical Flow with Correlation Image Sensor.

Hidekata Hontani, Go Oishi, Tomohiro Kitagawa

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

A Weighted Integral Method for Parametrically Describing Local Image Appearance.

Hidetoshi Goto, Hidekata Hontani

IPSJ Trans. Comput. Vis. Appl., 2013

Variational Method for Computing Average Images of Biological Organs.

Shun Inagaki, Atsushi Imiya, Hidekata Hontani, Shohei Hanaoka, Yoshitaka Masutani

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection.

Hidekata Hontani, Kazunari Iwamoto, Yoshitaka Masutani

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model.

Hidekata Hontani, Yuto Tsunekawa, Yoshihide Sawada

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model.

Yoshihide Sawada, Hidekata Hontani

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Robust nonrigid ICP using outlier-sparsity regularization.

Hidekata Hontani, Takamiti Matsuno, Yoshihide Sawada

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

The Mean Boundary Curve of Anatomical Objects.

Keiko Morita, Atsushi Imiya, Tomoya Sakai, Hidekata Hontani, Yoshitaka Masutani

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2012

2011

A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image.

Yoshihide Sawada, Hidekata Hontani

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2010

Point-based non-rigid surface registration with accuracy estimation.

Hidekata Hontani, Wataru Watanabe

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Improvement of Vehicle Positioning Using Car-to-Car Communications in Consideration of Communication Delay.

Hidekata Hontani, Yuya Higuchi

IEICE Trans. Commun., 2008

Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images.

Hidekata Hontani, Yoshihide Sawada

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2005

Self-similar Expanding Solutions in a Sector for a Crystalline Flow.

Mi-Ho Giga, Yoshikazu Giga, Hidekata Hontani

SIAM J. Math. Anal., 2005

Expanding selfsimilar solutions of a crystalline flow with applications to contour figure analysis.

Hidekata Hontani, Mi-Ho Giga, Yoshikazu Giga, Koichiro Deguchi

Discret. Appl. Math., 2005

A Scale-Space Analysis of a Contour Figure Using a Crystalline Flow.

Hidekata Hontani, Yu Suzuki, Yoshikazu Giga, Mi-Ho Giga, Koichiro Deguchi

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

2003

A Computation of a Crystalline Flow Starting from Non-admissible Polygon Using Expanding Selfsimilar Solutions.

Hidekata Hontani, Mi-Ho Giga, Yoshikazu Giga, Koichiro Deguchi

Proceedings of the Discrete Geometry for Computer Imagery, 11th International Conference, 2003

2002

Detection and enhancement of line structures in an image by anisotropic diffusion.

Koichiro Deguchi, Tadahiro Izumitani, Hidekata Hontani

Pattern Recognit. Lett., 2002

Scale-Based Corner Extraction of a Contour Figure Using a Crystalline Flow.

Hidekata Hontani, Koichiro Deguchi

Proceedings of the Geometry, 2002

Vibratory Image Feature Extraction Based on Local Log-Polar Symmetry.

Hidekata Hontani, Jun Shibata, Akira Kimachi, Shigeru Ando

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000

Primitive Curve Generation Based on Multiscale Contour Figure Approximation.

Hidekata Hontani, Koichiro Deguchi

Proceedings of the 15th International Conference on Pattern Recognition, 2000

3D Fundus Pattern Reconstruction and Display from Multiple Fundus Images.

Koichiro Deguchi, Junko Noami, Hidekata Hontani

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

An Adaptive Local Smoothing for Contour Figure Approximation.

Hidekata Hontani, Koichiro Deguchi

Proceedings of the Scale-Space Theories in Computer Vision, 1999

1998

3D Fundus Shape Reconstruction and Display From Stereo Fundus Images.

Koichiro Deguchi, Daisuke Kawamata, Kanae Mizutani, Hidekata Hontani, Kiwa Wakabayashi

Proceedings of IAPR Workshop on Machine Vision Applications, 1998

Multi-scale image analysis for detection of characteristic component figure shapes and sizes.

Hidekata Hontani, Koichiro Deguchi

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997

Multi-Scale Detection of Characteristic Figure Structures Using Principal Curvatures of Image Gray-Level Profile.

Hidekata Hontani, Koichiro Deguchi

Proceedings of the Scale-Space Theory in Computer Vision, First International Conference, 1997

1995

Character detection based on multi-scale measurement.

Hidekata Hontani, Shigeyoshi Shimotsuji

Proceedings of the Third International Conference on Document Analysis and Recognition, 1995