Yujiro Otsuka

502 total citations
22 papers, 335 citations indexed

About

Yujiro Otsuka is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yujiro Otsuka has authored 22 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Yujiro Otsuka's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced MRI Techniques and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Yujiro Otsuka is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced MRI Techniques and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Yujiro Otsuka collaborates with scholars based in Japan, United States and France. Yujiro Otsuka's co-authors include Shigeki Aoki, Kanako K. Kumamaru, Akifumi Hagiwara, Koji Kamagata, Akihiko Wada, Shohei Fujita, Ryusuke Irie, Christina Andica, Masaaki Hori and Nobutaka Hattori and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and American Journal of Neuroradiology.

In The Last Decade

Yujiro Otsuka

20 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yujiro Otsuka Japan	11	202	55	46	45	44	22	335
Stéren Chabert Chile	10	104 0.5×	31 0.6×	31 0.7×	48 1.1×	39 0.9×	38	332
Qihao Zhang United States	13	154 0.8×	31 0.6×	47 1.0×	21 0.5×	29 0.7×	35	374
Bin Lv China	13	196 1.0×	18 0.3×	51 1.1×	25 0.6×	14 0.3×	43	394
Hyug‐Gi Kim South Korea	10	148 0.7×	12 0.2×	53 1.2×	27 0.6×	42 1.0×	41	386
Annahita Amireskandari United States	13	271 1.3×	25 0.5×	48 1.0×	26 0.6×	11 0.3×	32	484
João Barbosa‐Breda Portugal	17	508 2.5×	19 0.3×	19 0.4×	52 1.2×	19 0.4×	59	728
Farhana Fadzli Malaysia	11	105 0.5×	9 0.2×	56 1.2×	72 1.6×	32 0.7×	31	400
James Warrington Canada	10	64 0.3×	71 1.3×	11 0.2×	75 1.7×	114 2.6×	26	251
M. A. Macleod United Kingdom	12	87 0.4×	29 0.5×	45 1.0×	30 0.7×	52 1.2×	46	377
Katerina Chatzimichail Greece	9	122 0.6×	61 1.1×	299 6.5×	34 0.8×	80 1.8×	15	581

Countries citing papers authored by Yujiro Otsuka

Since Specialization

Citations

This map shows the geographic impact of Yujiro Otsuka'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 Yujiro Otsuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujiro Otsuka more than expected).

Fields of papers citing papers by Yujiro Otsuka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yujiro Otsuka. 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 Yujiro Otsuka. The network helps show where Yujiro Otsuka may publish in the future.

Co-authorship network of co-authors of Yujiro Otsuka

This figure shows the co-authorship network connecting the top 25 collaborators of Yujiro Otsuka. A scholar is included among the top collaborators of Yujiro Otsuka 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 Yujiro Otsuka. Yujiro Otsuka 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

Yamada, Takahiro, et al.. (2025). Development and validation of an improved volumetric breast density estimation model using the ResNet technique. Biomedical Physics & Engineering Express. 11(4). 47002–47002.

Kojima, F., et al.. (2024). Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study. BMJ Open Respiratory Research. 11(1). e002249–e002249. 1 indexed citations

Miyawaki, Taichi, Kazuhiro Suzuki, Yusuke Nakamura, et al.. (2024). Multimodal fully automated predictive model for therapeutic efficacy of first-line cancer immunotherapy based on clinical information and imaging modalities including brain MRI and chest CT images in advanced non-small cell lung cancer.. Journal of Clinical Oncology. 42(16_suppl). 1555–1555. 1 indexed citations

Hasei, Joe, Ryuichi Nakahara, Yujiro Otsuka, et al.. (2024). The Three-Class Annotation Method Improves the AI Detection of Early-Stage Osteosarcoma on Plain Radiographs: A Novel Approach for Rare Cancer Diagnosis. Cancers. 17(1). 29–29. 2 indexed citations

Hasei, Joe, Ryuichi Nakahara, Yujiro Otsuka, et al.. (2024). High‐quality expert annotations enhance artificial intelligence model accuracy for osteosarcoma X‐ray diagnosis. Cancer Science. 115(11). 3695–3704. 11 indexed citations

Tachibana, Yasuhiko, Yujiro Otsuka, Koji Kamagata, et al.. (2023). Noise reduction by multiple path neural network using Attention mechanisms with an emphasis on robustness against Errors: A pilot study on brain Diffusion-Weighted images. Physica Medica. 116. 103176–103176.

Fujita, Shohei, Yujiro Otsuka, Katsutoshi Murata, et al.. (2023). MR fingerprinting and complex-valued neural network for quantification of brain amyloid burden. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations

Tomizawa, Nobuo, Yujiro Otsuka, Chihiro Aoshima, et al.. (2022). Use of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification. The Egyptian Heart Journal. 74(1). 43–43. 4 indexed citations

Hagiwara, Akifumi, Yujiro Otsuka, Christina Andica, et al.. (2021). Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorders by multiparametric quantitative MRI using convolutional neural network. Journal of Clinical Neuroscience. 87. 55–58. 15 indexed citations

10.

Suzuki, Kazuhiro, Yujiro Otsuka, Yukihiro Nomura, et al.. (2020). Development and Validation of a Modified Three-Dimensional U-Net Deep-Learning Model for Automated Detection of Lung Nodules on Chest CT Images From the Lung Image Database Consortium and Japanese Datasets. Academic Radiology. 29. S11–S17. 27 indexed citations

11.

Fujita, Shohei, Akifumi Hagiwara, Yujiro Otsuka, et al.. (2020). Deep Learning Approach for Generating MRA Images From 3D Quantitative Synthetic MRI Without Additional Scans. Investigative Radiology. 55(4). 249–256. 41 indexed citations

12.

Berre, Alice Le, Koji Kamagata, Yujiro Otsuka, et al.. (2019). Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI. Neuroradiology. 61(12). 1387–1395. 30 indexed citations

13.

Hagiwara, Akifumi, Yujiro Otsuka, Masaaki Hori, et al.. (2019). Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation. American Journal of Neuroradiology. 40(2). 224–230. 63 indexed citations

14.

Ohishi, Mitsuru, et al.. (2019). Analysis of antihypertensive treatment using real-world Japanese data—the retrospective study of antihypertensives for lowering blood pressure (REAL) study. Hypertension Research. 42(7). 1057–1067. 26 indexed citations

15.

Kumamaru, Kanako K., Shinichiro Fujimoto, Yujiro Otsuka, et al.. (2019). Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography. European Heart Journal - Cardiovascular Imaging. 21(4). 437–445. 52 indexed citations

16.

Kawaguchi, Yuko, Shinichiro Fujimoto, Kanako K. Kumamaru, et al.. (2018). Abstract 12206: Fully Automated 3D Deep-Learning Analysis of Coronary CT Angiography : Prediction of Fractional Flow Reserve. Circulation. 1 indexed citations

17.

Ogino, Mieko, Izumi Kawachi, Kazuyoshi Otake, et al.. (2016). Current treatment status and medical cost for multiple sclerosis based on analysis of a Japanese claims database. Clinical and Experimental Neuroimmunology. 7(2). 158–167. 14 indexed citations

18.

Hiroi, Shinzo, Yukio Shimasaki, Takashi Kikuchi, et al.. (2016). Analysis of second- and third-line antihypertensive treatments after initial therapy with an angiotensin II receptor blocker using real-world Japanese data. Hypertension Research. 39(12). 907–912. 10 indexed citations

19.

Yamashiro, Y., et al.. (1994). Helicobacter pylori colonization in children with gastritis and peptic ulcer. I. The colonization rate and effects of colonization on mucin content and mucosal inflammation in the antrum. Pediatrics International. 36(2). 167–170. 3 indexed citations

20.

Yamashiro, Y., et al.. (1994). Helicobacter pylori colonization in children with gastritis and peptic ulcer. II. Ultrastructural change of the gastric mucosa. Pediatrics International. 36(2). 171–175. 4 indexed citations

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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