Publication

Journal Paper

1. N. Hashimoto, H. Hanada, H. Miyoshi, M. Nagaishi, K. Sato, H. Hontani, K. Ohshima, and I. Takeuchi, "Multimodal gated mixture of experts using whole slide image and flow cytometry for multiple instance learning classification of lymphoma," Journal of Pathology Informatics, Vol. 15, 100359, Dec. 2023.

2. N. Hashimoto, Y. Takagi, H. Masuda, H. Miyoshi, K. Kohno, M. Nagaishi, K. Sato, M. Takeuchi, T. Furuta, K. Kawamoto, K. Yamada, M. Moritsubo, K. Inoue, Y. Shimasaki, Y. Ogura, T. Imamoto, T. Mishina, K. Tanaka, Y. Kawaguchi, S. Nakamura, K. Ohshima, H. Hontani and I. Takeuchi, "Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning", Medical Image Analysis, Vol. 85, 102752, Apr. 2023.

3. Y. Takagi, N. Hashimoto, H. Masuda, H. Miyoshi, K. Ohshima, H. Hontani and I. Takeuchi, "Transformer-based personalized attention mechanism for medical images with clinical records," Journal of Pathology Informatics, Vol. 14, 100185, Jan. 2023.

4. N. Hashimoto, K. Ko, T. Yokota, K. Kohno, M. Nakaguro, S. Nakamura, I. Takeuchi and H. Hontani, "Subtype classification of malignant lymphoma using immunohistochemical staining pattern," International Journal of Computer Assisted Radiology and Surgery, Vol. 17, No. 7, pp. 1379-1389, Jul. 2022.

5. Y. Hirano, T. Ito, N. Hashimoto, S. Kido and K. Suzuki, "Massive-training artificial neural network deep learning in computer-aided diagnosis for chest and abdomen," Medical Imaging Technology, Vol. 35, No. 4, pp. 194-199, Sept. 2017. (In Japanese)

6. S. Mabu, M. Obayashi, T. Kuremoto, N. Hashimoto, Y. Hirano and S. Kido, "Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns," International Journal of Computer Assisted Radiology and Surgery, Vol. 12, No. 3, pp. 519-528, Aug. 2016.

7. N. Hashimoto, P.A. Bautista, H. Haneishi, M. Snuderl and Y. Yagi, "Development of a 2D image reconstruction and viewing system for histological images from multiple tissue blocks: towards high-resolution whole-organ 3D histological images," Pathobiology, Vol. 83, No. 2-3, pp. 127-139, Apr. 2016.

8. N. Hashimoto, "Practical application of digital images in pathology: toward standardization," IEICE Fundamental Review, Vol. 9, No. 3, pp. 214-218, Jan. 2016. (In Japanese)

9. P.A. Bautista, N. Hashimoto and Y. Yagi, "Color standardization for whole slide imaging using a color calibration slide," Journal of Pathology Informatics, Vol. 5, No. 1, 4, Jan. 2014.

10. N. Hashimoto, Y. Murakami, M. Yamaguchi and N. Ohyama, "A digital H&E staining method for multispectral images of H-only stained tissue specimens and its application," IEICE Transactions on Information and Systems, Vol. J96-D, No. 4, pp. 844-853, Apr. 2013. (In Japanese)

11. N. Hashimoto, P.A. Bautista, M. Yamaguchi, N. Ohyama and Y. Yagi, "Referenceless image quality evaluation for whole slide imaging," Journal of pathology Informatics, Vol. 3, No. 1, 9, Mar. 2012.

12. N. Hashimoto, Y. Murakami, P.A. Bautista, M. Yamaguchi, T. Obi, N. Ohyama, K. Uto and Y. Kosugi, "Multispectral image enhancement for effective visualization," Optics Express, Vol. 19, No. 10, pp. 9315-9329, Apr. 2011.

International Conference

1. N. Hashimoto, D. Fukushima, R. Koga, Y. Takagi, K. Ko, K. Kohno, M. Nakaguro, S. Nakamura, H. Hontani and I. Takeuchi, "Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with unannotated histopathological images," Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3852-3861, June 2020.

2. K. Tanizaki, N. Hashimoto, Y. Inatsu, H. Hontani and I. Takeuchi, "Computing valid p-values for image segmentation by selective inference," Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9553-9562, June 2020.

3. N. Hashimoto, K. Suzuki, J. Liu, Y. Hirano, H. MacMahon and S. Kido, "Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): consolidation, ground-glass opacity (GGO), and normal opacity," Proc. SPIE Medical Imaging, Vol. 10575, 1057536, Feb. 2018.

4. (Invited) N. Hashimoto, P.A. Bautista and Y. Yagi, "Importance of image quality and its standardization in digital pathology," Proc. The 7th International Workshop on Image Media Quality and its Applications, pp. 1-4, Sept. 2014.

5. N. Hashimoto, Y. Murakami, M. Yamaguchi, N. Ohyama, K. Uto and Y. Kosugi, "Application of multispectral color enhancement for remote sensing," Proc. SPIE Remote Sensing, Vol. 8180, 818006, Sept. 2011.

6. N. Hashimoto, Y. Murakami, M. Yamaguchi, T. Obi and N. Ohyama, "Color enhancement of multispectral images for effective visualization," Proc. IS&T 5th European Conference on Colour in Graphics, Imaging and Vision, pp. 282–288, June 2010.

7. N. Hashimoto, S. Imaizumi, M. Fujiyoshi and H. Kiya, "Hierarchical encryption using short encryption keys for scalable access control of JPEG 2000 coded images," Proc. IEEE International Conference on Image Processing, pp. 3116–3119, Oct. 2008.

Preprint

1. Y. Takagi, N. Hashimoto, H. Masuda, H. Miyoshi, K. Ohshima, H. Hontani and I. Takeuchi, "Transformer-based personalized attention mechanism (PersAM) for medical images with clinical records," arXiv, Jun 2022. https://arxiv.org/abs/2206.03003 

2. N. Hashimoto, Y. Takagi, H. Masuda, H. Miyoshi, K. Kohno, M. Nagaishi, K. Sato, M. Takeuchi, T. Furuta, K. Kawamoto, K. Yamada, M. Moritsubo, K. Inoue, Y. Shimasaki, Y. Ogura, T. Imamoto, T. Mishina, K. Tanaka, Y. Kawaguchi, K. Ohshima, H. Hontani and I. Takeuchi, "Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning," arXiv, Jul. 2021. https://arxiv.org/abs/2107.03602 

3. N. Hashimoto, D. Fukushima, R. Koga, Y. Takagi, K. Ko, K. Kohno, M. Nakaguro, S. Nakamura, H. Hontani and I. Takeuchi, "Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with unannotated histopathological images," arXiv, Jan. 2020. (accepted to CVPR2020) https://arxiv.org/abs/2001.01599