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Hidekata Hontani
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Publications
- 2024
- [c41]Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani:
Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. VISIGRAPP (2): VISAPP 2024: 519-527 - [i10]Takanobu Furuhashi, Hidekata Hontani, Tatsuya Yokota:
Adaptive Block Sparse Regularization under Arbitrary Linear Transform. CoRR abs/2401.15292 (2024) - 2023
- [j14]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:
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. Medical Image Anal. 85: 102752 (2023) - [i9]Manabu Mukai, Hidekata Hontani, Tatsuya Yokota:
ADMM-MM Algorithm for General Tensor Decomposition. CoRR abs/2312.11763 (2023) - 2022
- [j13]Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani:
Subtype classification of malignant lymphoma using immunohistochemical staining pattern. Int. J. Comput. Assist. Radiol. Surg. 17(7): 1379-1389 (2022) - [j12]Hiromu Takayama, Qibin Zhao, Hidekata Hontani, Tatsuya Yokota:
Bayesian Tensor Completion and Decomposition with Automatic CP Rank Determination Using MGP Shrinkage Prior. SN Comput. Sci. 3(3): 225 (2022) - [j11]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1022-1036 (2022) - [c40]Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota:
Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. CVPR 2022: 2048-2056 - [i8]Tatsuya Yokota, Hidekata Hontani:
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches. CoRR abs/2203.05134 (2022) - [i7]Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi:
Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records. CoRR abs/2206.03003 (2022) - 2021
- [i6]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:
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. CoRR abs/2107.03602 (2021) - 2020
- [c39]Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi:
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. CVPR 2020: 3851-3860 - [c38]Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid P-Values for Image Segmentation by Selective Inference. CVPR 2020: 9550-9559 - [i5]Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi:
Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. CoRR abs/2001.01599 (2020) - 2019
- [j10]Tatsuya Yokota, Hidekata Hontani:
Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization. IEEE Access 7: 15669-15682 (2019) - [j9]Mauricio Kugler, Yushi Goto, Yuki Tamura, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Akinobu Shimizu, Hidekata Hontani:
Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2047-2055 (2019) - [c37]Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata, Yuichi Kimura, Hidekata Hontani:
Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior. ICCV 2019: 3126-3135 - [c36]Aoi Shinjo, Atsushi Saito, Tetsuya Takakuwa, Shigehito Yamada, Hidekata Hontani, Hiroshi Matsuzoe, Shoko Miyauchi, Ken'ichi Morooka, Akinobu Shimizu:
Spatiotemporal Statistical Model of Anatomical Landmarks on a Human Embryonic Brain. UNSURE/CLIP@MICCAI 2019: 94-103 - [c35]Masayuki Fujitani, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo-Serra, Hirokazu Kobayashi, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani, Hiroshi Ishikawa:
Re-staining Pathology Images by FCNN. MVA 2019: 1-6 - [i4]Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid p-values for Image Segmentation by Selective Inference. CoRR abs/1906.00629 (2019) - [i3]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". CoRR abs/1908.02995 (2019) - 2018
- [j8]Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani:
Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting. Int. J. Biomed. Imaging 2018: 9262847:1-9262847:17 (2018) - [c34]Tatsuya Yokota, Hidekata Hontani:
Tensor Completion with Shift-invariant Cosine Bases. APSIPA 2018: 1325-1333 - [c33]Kazuya Kawai, Hidekata Hontani, Tatsuya Yokota, Muneyuki Sakata, Yuichi Kimura:
Simultaneous PET Image Reconstruction and Feature Extraction Method using Non-negative, Smooth, and Sparse Matrix Factorization. APSIPA 2018: 1334-1337 - [c32]Tatsuya Yokota, Burak Erem, Seyhmus Guler, Simon K. Warfield, Hidekata Hontani:
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space. CVPR 2018: 8251-8259 - [c31]Tomoshige Shimomura, Mauricio Kugler, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani:
Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image. COMPAY/OMIA@MICCAI 2018: 27-34 - [c30]Mauricio Kugler, Yushi Goto, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani:
Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains. COMPAY/OMIA@MICCAI 2018: 35-43 - [c29]Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Hidekata Hontani, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume:
Landmark-based reconstruction of 3D smooth structures from serial histological sections. Medical Imaging: Digital Pathology 2018: 105811E - [i2]Tatsuya Yokota, Hidekata Hontani:
Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization. CoRR abs/1801.03299 (2018) - [i1]Tatsuya Yokota, Burak Erem, Seyhmus Guler, Simon K. Warfield, Hidekata Hontani:
Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space. CoRR abs/1804.01736 (2018) - 2017
- [j7]Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani, Muneyuki Sakata, Yuichi Kimura:
Parametric PET Image Reconstruction via Regional Spatial Bases and Pharmacokinetic Time Activity Model. Entropy 19(11): 629 (2017) - [j6]Masashi Kishimoto, Atsushi Saito, Tetsuya Takakuwa, Shigehito Yamada, Hiroshi Matsuzoe, Hidekata Hontani, Akinobu Shimizu:
A Spatiotemporal Statistical Model for Eyeballs of Human Embryos. IEICE Trans. Inf. Syst. 100-D(7): 1505-1515 (2017) - [c28]Tatsuya Yokota, Hidekata Hontani:
An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization. APSIPA 2017: 973-979 - [c27]Kazuya Kawai, Junya Yamada, Hidekata Hontani, Tatsuya Yokota, Muneyuki Sakata, Yuichi Kimura:
A robust PET image reconstruction using constrained non-negative matrix factorization. APSIPA 2017: 1815-1818 - [c26]Tatsuya Yokota, Hidekata Hontani:
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm. CVPR 2017: 3843-3851 - [c25]Kohei Kawade, Akihiro Wakita, Tatsuya Yokota, Hidekata Hontani, Shigeru Ando:
Restoration of Temporal Image Sequence from a Single Image Captured by a Correlation Image Sensor. VISIGRAPP (6: VISAPP) 2017: 181-191 - 2015
- [c23]Mitsunori Yamada, Hidekata Hontani, Hiroshi Matsuzoe:
A Study on Model Selection from the q-Exponential Distribution for Constructing an Organ Point Distribution Model. PSIVT Workshops 2015: 258-269 - 2013
- [c20]Hidekata Hontani, Kazunari Iwamoto, Yoshitaka Masutani:
A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection. CDMRI/MMBC@MICCAI 2013: 67-79 - [c19]Shun Inagaki, Atsushi Imiya, Hidekata Hontani, Shohei Hanaoka, Yoshitaka Masutani:
Variational Method for Computing Average Images of Biological Organs. SSVM 2013: 440-451 - 2012
- [c18]Keiko Morita, Atsushi Imiya, Tomoya Sakai, Hidekata Hontani, Yoshitaka Masutani:
The Mean Boundary Curve of Anatomical Objects. ACIVS 2012: 313-324 - 2002
- [c10]Hidekata Hontani, Jun Shibata, Akira Kimachi, Shigeru Ando:
Vibratory Image Feature Extraction Based on Local Log-Polar Symmetry. ICPR (3) 2002: 839-842
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