Japan Society for Promotion of Science   Researcher

2000.1 - 2001.7

RIKEN   Biomimetic Control Center   Researcher

1999.4 - 1999.12

Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning Invited Reviewed

Patterns     2023.12

Multimodal gated mixture of experts using whole slide image and flow cytometry for multiple instance learning classification of lymphoma Reviewed

Noriaki Hashimoto, Hiroyuki Hanada, Hiroaki Miyoshi, Miharu Nagaishi, Kensaku Sato, Hidekata Hontani, Koichi Ohshima, Ichiro Takeuchi.

Journal of Pathology Informatics     2023.12

Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications Reviewed

Hanada H., Hashimoto N., Taji K. and Takeuchi I.

Neural Computation     2023.11

Deep learning based identification of pituitary adenoma on surgical endoscopic images: a pilot study Invited Reviewed

Neurosurgical Review     2023.11

Drawing A Materials Map with An Autoencoder for Lithium Ionic Conductors Reviewed

Yamaguchi Y., Atsumi T., Kanamori K., Tanibata N., Takeda H., Nakayama M., Karasuyma M., Takeuchi I.

Scientific Reports     2023.11

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping Reviewed

Butke J., Hashimoto N., Takeuchi I., Miyoshi H., Oshima K., Sakuma J.

Machine Learning in Medical Imaging (MLMI)     2023.10

Valid P-Value for Deep Learning-driven Salient Region Reviewed

Miwa D., Duy V.N.L., Takeuchi I.

Proceedings of The International Conference on Learning Representation (ICLR)     2023.5

A Stopping Criterion for Bayesian Optimization by The Gap of Expected Minimum Simple Regrets Reviewed

Ishibashi H., Karasuyama M., Takeuchi I., Hino H.

Proceedings of The International Conference on AI and Statistics (AISTATS)     2023.4

Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning Reviewed

Hashimoto N., Takagi Y., Masuda H., Miyoshi H., Kohno K., Nagaishi M., Sato K., Takeuchi M., Furuta T., Kawamoto K., Yamada K., Moritsubo M., Inoue K., Shimasaki Y., Ogura Y., Imamoto T., Mishina T., Tanaka K., Kawaguchi Y., Nakamura S., Ohshima K., Hontani H., Takeuchi I.

Medical Image Analysis     2023.4

Novel Machine Learning Method AllerStat Identifies Statistically Significant Allergen-Specific Patterns in Protein Sequences Reviewed

Goto K., Tamehiro N., Yoshida T., Hanada H., Sakuma T., Adachi R., Kondo K., Takeuchi I.

Journal of Biological Chemistry     2023.4

Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening Reviewed

Kato H., Hanada H., Takeuchi I.

IEEE Transactions on Pattern Analysis and Machine Intelligence     2023.2

Multi-objective Bayesian Optimization with Active Preference Learning Reviewed

Ozaki R., Ishikawa K., Kanzaki Y., Takeno S., Takeuchi I., Karasuyama M.

Proceedings of AAAI Conference on Artificial Intelligence (AAAI)     2023.2

Graph neural network for identification of malignant lymphoma subtypes and class activation visualization of cell tissue anomality Reviewed

Tanaka H., Hashimoto N., Yokota T., Kugler M., Ohshima K., Miyoshi H., Nagaishi M., Takeuchi I., Hontani H.

Proceedings of The International Forum on Medical Imaging in Asia (IFMIA)     2023.1

Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records Reviewed

Takagi Y., Hashimoto N., Masuda H., Miyoshi H., Ohshima K., Hontani H., Takeuchi I.

Journal of Pathology Informatics     2023.1

Generation of Counterfactual Images to Construct Criteria for Quantitatively Evaluating Subtypes in Malignant Lymphoma Reviewed

Koga R., Kugler M., Yokota T., Ohshima K., Miyoshi H., Nagaishi M., Hashimoto N., Takeuchi I., Hontani H.

Proceedings of The International Forum on Medical Imaging in Asia (IFMIA)     2023.1

Construction of Classifier for malignant lymphoma nuclei using label propagation Reviewed

Koide S., Kugler M., Yokota T., Ohshima K., Miyoshi H., Nagaishi M., Hashimoto N., Takeuchi I., Hontani H.

Proceedings of The International Forum on Medical Imaging in Asia (IFMIA)     2023.1

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference Reviewed

Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS)     2022.12

Bayesian Optimization for Cascade-Type Multistage Processes. Reviewed

Kusakawa S, Takeno S, Inatsu Y, Kutsukake K, Iwazaki S, Nakano T, Ujihara T, Karasuyama M, Takeuchi I

Neural Computation     2022.11

More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Reviewed

Duy V.N.L., Takeuchi I.

Journal of Machine Learning Research     2022.11

Root-finding Approaches for Computing Conformal Prediction Set Reviewed International coauthorship

Ndiaye E., Takeuchi I.

Machine Learning     2022.11

SMG6 Regulates DNA Damage and Cell Survival in Hippo Pathway Kinase LATS2-Inactivated Malignant Mesothelioma Reviewed

Suzuki K., Tange M., Yamaguchi R., Hanada H., Mukai S., Sato T., Tanaka T., Akashi T., Kadomatsu K., Miida T., Takeuchi I., Sekido Y., Murakami-Tonami Y.

Cell Death Discovery     2022.11

Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries Reviewed

Takeno Shion, Fukuoka Hitoshi, Tsukada Yuhki, Koyama Toshiyuki, Shiga Motoki, Takeuchi Ichiro, Karasuyama Masayuki

RSC Advances     2022.10

Pelagic seabirds reduce risk by flying into the eye of the storm Reviewed International coauthorship

Lempidakis E., Shepard E.L.C, Ross A.N., Matsumoto S., Koyama S., Takeuchi I., Yoda K.

Proceedings of National Academy of Science (PNAS)     2022.10

Na Superionic Conductor-Type LiZr2(PO4)3 as a Promising Solid Electrolyte for Use in All-Solid-State Li Metal Batteries Reviewed

Nakayama M., Nakano K., Harada M., Tanibata N., Takeda H., Noda Y., Kobayashi R., Karasuyama M., Takeuchi I., Kotobuki M.

Chemical Communications     2022.9

A Generalized Framework of Multi-fidelity Max-value Entropy Search through Joint Entropy Reviewed

Takeno S., Fukuoka H., Tsukada Y., Koyama T., Shiga M., Takeuchi I., Karasuyama M.

Neural Computation     2022.9

Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation Reviewed

Tsukurimichi Toshiaki, Inatsu Yu, Vo Nguyen Le Duy, Takeuchi Ichiro

Annals of The Institute of Statistical Mathematics     2022.8

Bayesian Optimization for Distributionally Robust Chance-constrained Problem Reviewed

Duy V.N.L., Iwazaki S., Takeuchi I.

Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS2022)     2022.7

Exact statistical inference for the Wasserstein distance by selective inference Selective Inference for the Wasserstein Distance Reviewed

Le Duy Vo Nguyen, Takeuchi Ichiro

Annals of The Institute of Statistical Mathematics     2022.6

Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson's disease Reviewed

Ohno K., Nishiwaki H., Ito M., Hamaguchi T., Maeda T., Kashihara K., Tsuboi Y., Ueyama J., Yoshida T., Hanada H., Takeuchi I., Katsuno M., hirayama M.

npj Parkinson's Disease     2022.6

Chemical Composition Data-Driven Machine-Learning Prediction for Phase Stability and Materials Properties of Inorganic Crystalline Solids Reviewed

Atsumi T., Sato K., Yamaguchi Y., Hamaie M., Yasuda R., Tanibata N., Takeda H., Nakayama M., Karasuyama M., Takeuchi I.

Physica Status Solidi (B) Basic Research     2022.2

Subtype classification of malignant lymphoma using immunohistochemical staining pattern Reviewed

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

International Journal of Computer Assisted Radiology and Surgery     2022.2

Fast and More Powerful Selective Inference for Sparse High-order Interaction Model Reviewed

Proceedings of AAAI Conference on Artificial Intelligence (AAAI)     2022.2

Development of crystal growth technology by communication between AI and operators

2020.4

New Energy and Industrial Technology Development Organization (NEDO)