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Koji Fujimoto
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Publications
- 2023
- [c9]Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer:
Boosting Radiology Report Generation by Infusing Comparison Prior. BioNLP@ACL 2023: 50-61 - [i4]Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer:
Boosting Radiology Report Generation by Infusing Comparison Prior. CoRR abs/2305.04561 (2023) - [i3]Amos Calamida, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Michael Krauthammer:
Radiology-Aware Model-Based Evaluation Metric for Report Generation. CoRR abs/2311.16764 (2023) - 2021
- [j9]Nanako Kubota, Yufu Kasahara, Ken Harada, Koji Fujimoto, Tomohisa Okada, Masato Inoue:
Prior ensemble learning. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1937-1945 (2021) - [j8]Mizuho Nishio, Koji Fujimoto, Hidetoshi Matsuo, Chisako Muramatsu, Ryo Sakamoto, Hiroshi Fujita:
Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network. Frontiers Artif. Intell. 4: 694815 (2021) - [j7]Mizuho Nishio, Koji Fujimoto, Kaori Togashi:
Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning. Int. J. Imaging Syst. Technol. 31(2): 1002-1008 (2021) - [c8]Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, Michael Krauthammer:
Progressive Transformer-Based Generation of Radiology Reports. EMNLP (Findings) 2021: 2824-2832 - [i2]Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, Michael Krauthammer:
Progressive Transformer-Based Generation of Radiology Reports. CoRR abs/2102.09777 (2021) - 2020
- [j6]Mizuho Nishio, Chisako Muramatsu, Shunjiro Noguchi, Hirotsugu Nakai, Koji Fujimoto, Ryo Sakamoto, Hiroshi Fujita:
Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network. Comput. Biol. Medicine 126: 104032 (2020) - 2019
- [j5]Yasuhisa Kurata, Mizuho Nishio, Aki Kido, Koji Fujimoto, Masahiro Yakami, Hiroyoshi Isoda, Kaori Togashi:
Automatic segmentation of the uterus on MRI using a convolutional neural network. Comput. Biol. Medicine 114 (2019) - [i1]Mizuho Nishio, Koji Fujimoto, Kaori Togashi:
Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning. CoRR abs/1908.07704 (2019) - 2017
- [j4]Masami Kawagishi, Bin Chen, Daisuke Furukawa, Hiroyuki Sekiguchi, Koji Sakai, Takeshi Kubo, Masahiro Yakami, Koji Fujimoto, Ryo Sakamoto, Yutaka Emoto, Gakuto Aoyama, Yoshio Iizuka, Keita Nakagomi, Hiroyuki Yamamoto, Kaori Togashi:
A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists. Int. J. Comput. Assist. Radiol. Surg. 12(5): 767-776 (2017) - 2013
- [j2]Keita Nakagomi, Akinobu Shimizu, Hidefumi Kobatake, Masahiro Yakami, Koji Fujimoto, Kaori Togashi:
Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume. Medical Image Anal. 17(1): 62-77 (2013)
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