Chika Iwamoto

According to our database, Chika Iwamoto authored at least 7 papers between 2017 and 2019.

Collaborative distances:

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

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

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

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

Feature extraction and Cluster analysis of Pancreatic Pathological Image Based on Unsupervised Convolutional Neural Network.

Konosuke Asanou, Naoaki Ono, Chika Iwamoto, Kenoki Ohuchida, Koji Shindo, Shigehiko Kanaya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Tissue classification of liver pathological tissue specimens image using spectral features.

Emi Hashimoto, Masahiro Ishikawa, Kazuma Shinoda, Madoka Hasegawa, Hideki Komagata, Naoki Kobayashi, Naoki Mochidome, Yoshinao Oda, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017