Mizuho Nishio - RankMe

28 papers B 2Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	RadVLM: A Multitask Conversational Vision-Language Model for Radiology. CoRR 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, Christian Blüthgen, Farhad Nooralahzadeh, Michael Krauthammer
2024	B	`conf`	Automatic Structuring of Radiology Reports of Chest X-Ray Images Using Large Language Model. COMPSAC Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga
2024	J	`jnl`	Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging. CoRR Hidetoshi Matsuo, Mizuho Nishio, Takaaki Matsunaga, Koji Fujimoto, Takamichi Murakami
2024	J	`jnl`	Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model. PeerJ Comput. Sci. Mizuho Nishio, Eiji Ota
2023	—	`conf`	Boosting Radiology Report Generation by Infusing Comparison Prior. BioNLP@ACL Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer
2023	J	`jnl`	Boosting Radiology Report Generation by Infusing Comparison Prior. CoRR Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi, Michael Krauthammer
2023	—	`conf`	Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask. NTCIR Koji Fujimoto, Mizuho Nishio, Chikako Tanaka, Morteza Rohanian, Farhad Nooralahzadeh, Michael Krauthammer, Fabio Rinaldi
2023	J	`jnl`	Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance. PeerJ Comput. Sci. Mizuho Nishio, Eiji Ota, Hidetoshi Matsuo, Takaaki Matsunaga, Aki Miyazaki, Takamichi Murakami
2023	J	`jnl`	Development of pericardial fat count images using a combination of three different deep-learning models. CoRR Takaaki Matsunaga, Atsushi K. Kono, Hidetoshi Matsuo, Kaoru Kitagawa, Mizuho Nishio, Hiromi Hashimura, Yu Izawa, Takayoshi Toba, Kazuki Ishikawa, Akie Katsuki, Kazuyuki Ohmura, Takamichi Murakami
2023	J	`jnl`	Radiology-Aware Model-Based Evaluation Metric for Report Generation. CoRR Amos Calamida, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Michael Krauthammer
2023	—	`conf`	Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC. NTCIR Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga, Koji Fujimoto, Morteza Rohanian, Farhad Nooralahzadeh, Fabio Rinaldi, Michael Krauthammer
2022	—	`conf`	Approach for Named Entity Recognition and Case Identification Implemented by ZuKyo-JA Sub-team at the NTCIR-16 Real-MedNLP Task. NTCIR Koji Fujimoto, Mizuho Nishio, Osamu Sugiyama, Kana Ichikawa, Joseph Cornelius, Oscar Lithgow-Serrano, Vani Kanjirangat, Fabio Rinaldi, Aron N. Horvath, Farhad Nooralahzadeh, Michael Krauthammer
2022	—	`conf`	Leveraging Token-Based Concept Information and Data Augmentation in Few-Resource NER: ZuKyo-EN at the NTCIR-16 Real-MedNLP task. NTCIR Joseph Cornelius, Oscar Lithgow-Serrano, Vani Kanjirangat, Fabio Rinaldi, Koji Fujimoto, Mizuho Nishio, Osamu Sugiyama, Kana Ichikawa, Farhad Nooralahzadeh, Aron N. Horvath, Michael Krauthammer
2021	J	`jnl`	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. Mizuho Nishio, Koji Fujimoto, Hidetoshi Matsuo, Chisako Muramatsu, Ryo Sakamoto, Hiroshi Fujita
2021	J	`jnl`	Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning. Int. J. Imaging Syst. Technol. Mizuho Nishio, Koji Fujimoto, Kaori Togashi
2021	J	`jnl`	Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks. CoRR Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, Feibi Zeng, Takako Kurimoto, Sandeep Kaushik, Florian Wiesinger, Atsushi K. Kono, Takamichi Murakami
2020	J	`jnl`	Adaptive Voxel Matching for Temporal CT Subtraction. J. Digit. Imaging Toru Tanaka, Ryo Ishikawa, Keita Nakagomi, Kazuhiro Miyasa, Kiyohide Satoh, Masahiro Yakami, Thai Akasaka, Koji Onoue, Takeshi Kubo, Mizuho Nishio, Yutaka Emoto, Kaori Togashi
2020	J	`jnl`	Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network. Comput. Biol. Medicine Mizuho Nishio, Chisako Muramatsu, Shunjiro Noguchi, Hirotsugu Nakai, Koji Fujimoto, Ryo Sakamoto, Hiroshi Fujita
2020	J	`jnl`	Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods. CoRR Mizuho Nishio, Shunjiro Noguchi, Hidetoshi Matsuo, Takamichi Murakami
2020	J	`jnl`	Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model. Comput. Methods Programs Biomed. Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh
2020	J	`jnl`	Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model. CoRR Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh
2020	J	`jnl`	Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques. Comput. Biol. Medicine Shunjiro Noguchi, Mizuho Nishio, Masahiro Yakami, Keita Nakagomi, Kaori Togashi
2020	J	`jnl`	Improving breast mass classification by shared data with domain transformation using a generative adversarial network. Comput. Biol. Medicine Chisako Muramatsu, Mizuho Nishio, Takuma Goto, Mikinao Oiwa, Takako Morita, Masahiro Yakami, Takeshi Kubo, Kaori Togashi, Hiroshi Fujita
2019	—	`conf`	A case study regarding clinical performance evaluation method of medical device software for approval. Image Perception, Observer Performance, and Technology Assessment Koji Shimizu, Gakuto Aoyama, Mizuho Nishio, Masahiro Yakami, Takeshi Kubo, Yutaka Emoto, Tatsuya Ito, Tomohiro Kuroda, Hiroyoshi Isoda
2019	J	`jnl`	Automatic segmentation of the uterus on MRI using a convolutional neural network. Comput. Biol. Medicine Yasuhisa Kurata, Mizuho Nishio, Aki Kido, Koji Fujimoto, Masahiro Yakami, Hiroyoshi Isoda, Kaori Togashi
2019	J	`jnl`	Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning. CoRR Mizuho Nishio, Koji Fujimoto, Kaori Togashi
2017	J	`jnl`	Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. CoRR Mizuho Nishio, Mitsuo Nishizawa, Osamu Sugiyama, Ryosuke Kojima, Masahiro Yakami, Tomohiro Kuroda, Kaori Togashi
2015	B	`conf`	Tumor segmentation on FDG-PET: usefulness of locally connected conditional random fields. Image Processing Mizuho Nishio, Atsushi K. Kono, Hisanobu Koyama, Tatsuya Nishii, Kazuro Sugimura