Masahiro Yakami

1.0k citations

32 papers · 756 indexed · h-index 14

Radiology, Nuclear Medicine and Imaging top 5%
Pulmonary and Respiratory Medicine top 10%
Artificial Intelligence top 10%
Biomedical Engineering
Surgery

Co-authors: Kaori Togashi Mizuho Nishio Takeshi Kubo Osamu Sugiyama Koji Fujimoto Tomohiro Kuroda Ryosuke Kojima Mitsuo Nishizawa
Topics: Radiomics and Machine Learning in Medical Imaging (14 papers)Medical Imaging Techniques and Applications (10 papers)AI in cancer detection (7 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Obstetrics and Gynecology
Journals: PLoS ONE Scientific Reports Radiology
Partner nations: Japan United States

In The Last Decade

Masahiro Yakami

30 papers receiving 744 citations

Peers

Countries citing papers authored by Masahiro Yakami

Since Specialization

Citations

This map shows the geographic impact of Masahiro Yakami's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masahiro Yakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Yakami more than expected).

Fields of papers citing papers by Masahiro Yakami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masahiro Yakami. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masahiro Yakami. The network helps show where Masahiro Yakami may publish in the future.

Co-authorship network of co-authors of Masahiro Yakami

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Yakami. A scholar is included among the top collaborators of Masahiro Yakami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masahiro Yakami. Masahiro Yakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Assessment of muscle quality and quantity in individuals with diffuse idiopathic skeletal hyperostosis 2025 ·Modern Rheumatology ·(unknown),Takayoshi Shimizu,(unknown),(unknown),Masahiro Yakami,Takashi Sono,Ryusuke Nakamoto,Koichi Murata,Shuichi Matsuda,Bungo Otsuki	0
2	Performance of dedicated breast PET in breast cancer screening: comparison with digital mammography plus digital breast tomosynthesis and ultrasound 2023 ·Annals of Nuclear Medicine ·(unknown),Kanae K. Miyake,Takayoshi Ishimori,Masako Kataoka,Yoshiaki Matsumoto,Masae Torii,Masahiro Yakami,Hiroyoshi Isoda,K Takakura,Satoshi Morita,Masahiro Takada,Masakazu Toi,Yuji Nakamoto	3
3	Deep learning–based algorithm improved radiologists’ performance in bone metastases detection on CT 2022 ·European Radiology ·(unknown),Mizuho Nishio,Ryo Sakamoto,Masahiro Yakami,Koji Fujimoto,(unknown),Takeshi Kubo,Yoshio Iizuka,(unknown),(unknown),Kiyohide Satoh,Yuji Nakamoto	38
4	Temporal subtraction CT with nonrigid image registration improves detection of bone metastases by radiologists: results of a large-scale observer study 2021 ·Scientific Reports ·(unknown),Masahiro Yakami,Mizuho Nishio,Ryo Sakamoto,(unknown),(unknown),Yoshio Iizuka,Takeshi Kubo,(unknown),(unknown),Kiyohide Satoh,Hiroyuki Yamamoto,Hiroyoshi Isoda,Kaori Togashi	1
5	Visceral fat obesity is the key risk factor for the development of reflux erosive esophagitis in 40–69-years subjects 2021 ·Esophagus ·Shinya Ohashi,Takahisa Maruno,(unknown),Osamu Kikuchi,(unknown),Yuki Kondo,Seiichiro Imai,Aki Matsushima,Kazuyo Suzuki,(unknown),Masahiro Yakami,Atsushi Yamada,Hiroyoshi Isoda,Shigemi Matsumoto,Hiroshi Seno,Manabu Muto,Mayumi Inoue	6
6	Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network 2021 ·Scientific Reports ·Yasuhisa Kurata,Mizuho Nishio,Yusaku Moribata,Aki Kido,Yuki Himoto,Satoshi Otani,Koji Fujimoto,Masahiro Yakami,Sachiko Minamiguchi,Masaki Mandai,Yuji Nakamoto	28
7	Improving breast mass classification by shared data with domain transformation using a generative adversarial network 2020 ·Computers in Biology and Medicine ·Chisako Muramatsu,Mizuho Nishio,(unknown),Mikinao Oiwa,Takako Morita,Masahiro Yakami,Takeshi Kubo,Kaori Togashi,Hiroshi Fujita	44
8	Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques 2020 ·Computers in Biology and Medicine ·(unknown),Mizuho Nishio,Masahiro Yakami,(unknown),Kaori Togashi	80
9	Adaptive Voxel Matching for Temporal CT Subtraction 2020 ·Journal of Digital Imaging ·Toru Tanaka,Ryo Ishikawa,(unknown),(unknown),Kiyohide Satoh,Masahiro Yakami,(unknown),(unknown),Takeshi Kubo,Mizuho Nishio,(unknown),Kaori Togashi	1
10	Temporal subtraction of computed tomography images improves detectability of bone metastases by radiology residents 2019 ·European Radiology ·(unknown),Mizuho Nishio,Masahiro Yakami,Ryo Sakamoto,(unknown),(unknown),Yoshio Iizuka,Takeshi Kubo,(unknown),(unknown),Kiyohide Satoh,Hiroyuki Yamamoto,Hiroyoshi Isoda,Kaori Togashi	2
11	Detection of suspected brain infarctions on CT can be significantly improved with temporal subtraction images 2018 ·European Radiology ·(unknown),Masahiro Yakami,Mizuho Nishio,(unknown),(unknown),(unknown),Yoshio Iizuka,Takeshi Kubo,(unknown),Kiyohide Satoh,Hiroyuki Yamamoto,Kaori Togashi	13
12	Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning 2018 ·PLoS ONE ·Mizuho Nishio,Osamu Sugiyama,Masahiro Yakami,(unknown),Takeshi Kubo,Tomohiro Kuroda,Kaori Togashi	125
13	Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization 2018 ·PLoS ONE ·Mizuho Nishio,Mitsuo Nishizawa,Osamu Sugiyama,Ryosuke Kojima,Masahiro Yakami,Tomohiro Kuroda,Kaori Togashi	98
14	Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region 2017 ·PLoS ONE ·Mizuho Nishio,(unknown),Kazuaki Nakane,Takeshi Kubo,Masahiro Yakami,(unknown),(unknown),(unknown),Kaori Togashi	9
15	Temporal Subtraction of Serial CT Images with Large Deformation Diffeomorphic Metric Mapping in the Identification of Bone Metastases 2017 ·Radiology ·Ryo Sakamoto,Masahiro Yakami,Koji Fujimoto,(unknown),Takeshi Kubo,(unknown),(unknown),(unknown),Hiroyuki Yamamoto,Michael I. Miller,Susumu Mori,Kaori Togashi	29
16	A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists 2017 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown),Bin Chen,Daisuke Furukawa,Hiroyuki Sekiguchi,Koji Sakai,Takeshi Kubo,Masahiro Yakami,Koji Fujimoto,Ryo Sakamoto,(unknown),(unknown),Yoshio Iizuka,(unknown),Hiroyuki Yamamoto,Kaori Togashi	12
17	Optimised paediatric CT dose at a tertiary children's hospital in Japan: a 4-y single-centre analysis 2015 ·Radiation Protection Dosimetry ·(unknown),Mika Fujiwara,Masahiro Yakami,Takashi Yokoyama,(unknown),(unknown),(unknown),Satoshi Obara,Keiichi Akahane,Benjamin J. Blyth,Osamu Miyazaki,Hiroaki Date,(unknown),Akira Hoshioka,Yoshiya Shimada	5
18	Effect of hyoscine butylbromide (HBB) on the uterine corpus: Quantitative assessment with T2‐weighted (T2W) MRI in healthy volunteers 2010 ·Journal of Magnetic Resonance Imaging ·Koji Fujimoto,Asako Nakai,Tomohisa Okada,(unknown),(unknown),(unknown),Masahiro Yakami,Kaori Togashi	5
19	Development of severe complications caused by stent placement followed by definitive radiation therapy for T4 esophageal cancer 2003 ·International Journal of Clinical Oncology ·Masahiro Yakami,Michihide Mitsumori,Heitetsu Sai,Yasushi Nagata,Masahiro Hiraoka,Yasumasa Nishimura	30
20	An End-to-End Secure Patient Information Access Card System 2000 ·Methods of Information in Medicine ·(unknown),Masahiro Yakami,Takashi Takahashi,(unknown)	4

About Masahiro Yakami

Masahiro Yakami is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management and Obstetrics and Gynecology, having authored 32 papers that have together received 756 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (10 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (35 citations), Radiology, Nuclear Medicine and Imaging (469 citations) and Obstetrics and Gynecology (73 citations). Masahiro Yakami has collaborated with scholars based in Japan and United States. Frequent co-authors include Kaori Togashi, Mizuho Nishio, Takeshi Kubo, Mizuho Nishio, Osamu Sugiyama, Koji Fujimoto, Tomohiro Kuroda, Ryosuke Kojima, Mitsuo Nishizawa and Yasuhisa Kurata. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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