Nested Joint Probability Model for Morphological Analysis and its Grid Pruning. - Koji Fujimoto; Nobuo Inui; Yoshiyuki Kotani (AAAI/IAAI, 1998)

Learning Parameters with Nested Joint Probability Model. - Koji Fujimoto; Nobuo Inui; Yoshiyuki Kotani (Applied Informatics, 1999)

Restoration from multiframe blurred images based on stochastic image models. - Koji Fujimoto; Kazuhiro Fujita; Yasuo Yoshida (Syst. Comput. Jpn., 2000)

Comparative study of side-wall roughness effects on leakage currents in through-silicon via interconnects. - Tomoji Nakamura; Hideki Kitada; Yoriko Mizushima; Nobuhide Maeda; Koji Fujimoto; Takayuki Ohba (3DIC, 2011)

Negation Naive Bayes for Categorization of Product Pages on the Web. - Kanako Komiya; Naoto Sato; Koji Fujimoto; Yoshiyuki Kotani (RANLP, 2011)

The Transliteration from Alphabet Queries to Japanese Product Names. - Rieko Tsuji; Yoshinori Nemoto; Wimvipa Luangpiensamut; Yuji Abe; Takeshi Kimura; Kanako Komiya; Koji Fujimoto; Yoshiyuki Kotani (PACLIC, 2012)

Chinese Morphological Analysis Using Morpheme and Character Features. - Kanako Komiya; Haixia Hou; Kazutomo Shibahara; Koji Fujimoto; Yoshiyuki Kotani (PRICAI, 2012)

Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume. - Keita Nakagomi; Akinobu Shimizu; Hidefumi Kobatake; Masahiro Yakami; Koji Fujimoto; Kaori Togashi (Medical Image Anal., 2013)

Impact of Thermomechanical Stresses on Ultra-thin Si Stacked Structure. - Yoriko Mizushima; Young-Suk Kim; Tomoji Nakamura; Shoichi Kodama; Nobuhide Maeda; Koji Fujimoto; Takayuki Ohba (3DIC, 2014)

Review of wafer-level three-dimensional integration (3DI) using bumpless interconnects for tera-scale generation. - Takayuki Ohba; Young-Suk Kim; Yoriko Mizushima; Nobuhide Maeda; Koji Fujimoto; Shoichi Kodama (IEICE Electron. Express, 2015)

A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists. - Masami Kawagishi; Bin Chen; Daisuke Furukawa; Hiroyuki Sekiguchi; Koji Sakai; Takeshi Kubo; Masahiro Yakami; Koji Fujimoto; Ryo Sakamoto; Yutaka Emoto; Gakuto Aoyama; Yoshio Iizuka; et al. (Int. J. Comput. Assist. Radiol. Surg., 2017)

Automatic segmentation of the uterus on MRI using a convolutional neural network. - Yasuhisa Kurata; Mizuho Nishio; Aki Kido; Koji Fujimoto; Masahiro Yakami; Hiroyoshi Isoda; Kaori Togashi (Comput. Biol. Medicine, 2019)

Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network. - Mizuho Nishio; Chisako Muramatsu; Shunjiro Noguchi; Hirotsugu Nakai; Koji Fujimoto; Ryo Sakamoto; Hiroshi Fujita 001 (Comput. Biol. Medicine, 2020)

Progressive Transformer-Based Generation of Radiology Reports. - Farhad Nooralahzadeh; Nicolas Perez Gonzalez; Thomas Frauenfelder; Koji Fujimoto; Michael Krauthammer (EMNLP (Findings), 2021)

Prior ensemble learning. - Nanako Kubota; Yufu Kasahara; Ken Harada; Koji Fujimoto; Tomohisa Okada; Masato Inoue (Int. J. Comput. Assist. Radiol. Surg., 2021)

Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network. - Mizuho Nishio; Koji Fujimoto; Hidetoshi Matsuo; Chisako Muramatsu; Ryo Sakamoto; Hiroshi Fujita 001 (Frontiers Artif. Intell., 2021)

Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning. - Mizuho Nishio; Koji Fujimoto; Kaori Togashi (Int. J. Imaging Syst. Technol., 2021)

Leveraging Token-Based Concept Information and Data Augmentation in Few-Resource NER: ZuKyo-EN at the NTCIR-16 Real-MedNLP task. - Joseph Cornelius; Oscar Lithgow-Serrano; Vani Kanjirangat; Fabio Rinaldi 001; Koji Fujimoto; Mizuho Nishio; Osamu Sugiyama; Kana Ichikawa; Farhad Nooralahzadeh; Aron N. Horvath; Michael Krauthammer (NTCIR, 2022)

Approach for Named Entity Recognition and Case Identification Implemented by ZuKyo-JA Sub-team at the NTCIR-16 Real-MedNLP Task. - Koji Fujimoto; Mizuho Nishio; Osamu Sugiyama; Kana Ichikawa; Joseph Cornelius; Oscar Lithgow-Serrano; Vani Kanjirangat; Fabio Rinaldi 001; Aron N. Horvath; Farhad Nooralahzadeh; Michael Krauthammer (NTCIR, 2022)

Boosting Radiology Report Generation by Infusing Comparison Prior. - Sanghwan Kim; Farhad Nooralahzadeh; Morteza Rohanian; Koji Fujimoto; Mizuho Nishio; Ryo Sakamoto; Fabio Rinaldi 001; Michael Krauthammer (BioNLP@ACL, 2023)

Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask. - Koji Fujimoto; Mizuho Nishio; Chikako Tanaka; Morteza Rohanian; Farhad Nooralahzadeh; Michael Krauthammer; Fabio Rinaldi 001 (NTCIR, 2023)

Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC. - Mizuho Nishio; Hidetoshi Matsuo; Takaaki Matsunaga; Koji Fujimoto; Morteza Rohanian; Farhad Nooralahzadeh; Fabio Rinaldi 001; Michael Krauthammer (NTCIR, 2023)

Radiology-Aware Model-Based Evaluation Metric for Report Generation. - Amos Calamida; Farhad Nooralahzadeh; Morteza Rohanian; Koji Fujimoto; Mizuho Nishio; Michael Krauthammer (CoRR, 2023)

Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs. - Maina Sogabe; Kaoru Ishikawa; Toshihiro Takamatsu; Koh Takeuchi 001; Takahiro Kanno; Koji Fujimoto; Tetsuro Miyazaki; Toshihiro Kawase; Toshihiko Sato; Kenji Kawashima (Array, 2023)

Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging. - Hidetoshi Matsuo; Mizuho Nishio; Takaaki Matsunaga; Koji Fujimoto; Takamichi Murakami (CoRR, 2024)

NTCIR-18 RadNLP 2024 Overview: Dataset and Solutions forAutomated Lung Cancer Staging. - Yuta Nakamura; Koji Fujimoto; Jonas Kluckert; Michael Krauthammer; Jun Kanzawa; Akira Katayama; Tomohiro Kikuchi; Ryo Kurokawa; Wataru Gonoi; Yuki Tashiro; Shouhei Hanaoka; Shuntaro Yada; et al. (NTCIR, 2025)

RadVLM: A Multitask Conversational Vision-Language Model for Radiology. - Nicolas Deperrois; Hidetoshi Matsuo; Samuel Ruipérez-Campillo; Moritz Vandenhirtz; Sonia Laguna; Alain Ryser; Koji Fujimoto; Mizuho Nishio; Thomas M. Sutter; Julia E. Vogt; Jonas Kluckert; Thomas Frauenfelder; et al. (CoRR, 2025)