Hirokazu Nosato

517 total citations
54 papers, 347 citations indexed

About

Hirokazu Nosato is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Hirokazu Nosato has authored 54 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 11 papers in Surgery. Recurrent topics in Hirokazu Nosato's work include AI in cancer detection (15 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Hirokazu Nosato is often cited by papers focused on AI in cancer detection (15 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Hirokazu Nosato collaborates with scholars based in Japan, United States and India. Hirokazu Nosato's co-authors include Hidenori Sakanashi, Masahiro Murakawa, Atsushi Ikeda, Hiroyuki Nishiyama, Takahiro Kojima, Nobuyuki Hiruta, Koji Kawai, Eiichi Takahashi, Tetsuaki Matsunawa and Hiromitsu Negoro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Urology.

In The Last Decade

Hirokazu Nosato

47 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hirokazu Nosato Japan 9 107 105 99 95 79 54 347
Xiaoda Jiang China 12 218 2.0× 126 1.2× 108 1.1× 63 0.7× 21 0.3× 23 468
Yoko Kominami Japan 8 256 2.4× 115 1.1× 95 1.0× 64 0.7× 48 0.6× 20 379
Silvia Delsanto Italy 12 136 1.3× 161 1.5× 54 0.5× 72 0.8× 53 0.7× 27 436
Avi Ben-Cohen Israel 8 34 0.3× 262 2.5× 53 0.5× 209 2.2× 100 1.3× 10 594
Liyan Lin China 11 39 0.4× 155 1.5× 51 0.5× 60 0.6× 79 1.0× 27 366
Tahir Mahmood South Korea 13 60 0.6× 342 3.3× 46 0.5× 232 2.4× 192 2.4× 30 620
Henry Córdova Spain 12 241 2.3× 111 1.1× 259 2.6× 56 0.6× 37 0.5× 59 523
Sung-Bum Kang South Korea 9 38 0.4× 64 0.6× 107 1.1× 21 0.2× 36 0.5× 28 333
Tom Eelbode Belgium 6 142 1.3× 165 1.6× 50 0.5× 89 0.9× 96 1.2× 17 461
Zhiwu Wang China 15 103 1.0× 140 1.3× 129 1.3× 60 0.6× 34 0.4× 63 690

Countries citing papers authored by Hirokazu Nosato

Since Specialization
Citations

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

Fields of papers citing papers by Hirokazu Nosato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirokazu Nosato

This figure shows the co-authorship network connecting the top 25 collaborators of Hirokazu Nosato. A scholar is included among the top collaborators of Hirokazu Nosato 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 Hirokazu Nosato. Hirokazu Nosato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ikeda, Atsushi, K. Katori, Hirokazu Nosato, et al.. (2024). Objective Evaluation of Gaze Location Patterns Using Eye Tracking During Cystoscopy and Artificial Intelligence-Assisted Lesion Detection. Journal of Endourology. 38(8). 865–870.
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Sakanashi, Hidenori, et al.. (2023). Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification. 619–628. 1 indexed citations
5.
Ikeda, Atsushi & Hirokazu Nosato. (2023). Overview of current applications and trends in artificial intelligence for cystoscopy and transurethral resection of bladder tumours. Current Opinion in Urology. 34(1). 27–31. 6 indexed citations
6.
Suzuki, Aiga, et al.. (2022). CTG-Net: Cross-task guided network for breast ultrasound diagnosis. PLoS ONE. 17(8). e0271106–e0271106. 11 indexed citations
7.
Ikeda, Atsushi, Hirokazu Nosato, Hiromitsu Negoro, et al.. (2022). PD26-02 REAL-TIME BLADDER TUMOR DETECTION AT CLINICS IN FLEXIBLE CYSTOSCOPY WITH WHITE LIGHT AND NARROW BAND IMAGING USING DEEP LEARNING. The Journal of Urology. 207(Supplement 5). 3 indexed citations
8.
Nosato, Hirokazu. (2021). A Platform for AI-Based Image Diagnostic Support in Endoscopy. Nippon Laser Igakkaishi. 42(4). 237–245. 1 indexed citations
9.
Ikeda, Atsushi, Hirokazu Nosato, Hiromitsu Negoro, et al.. (2020). Cystoscopic Imaging for Bladder Cancer Detection Based on Stepwise Organic Transfer Learning with a Pretrained Convolutional Neural Network. Journal of Endourology. 35(7). 1030–1035. 26 indexed citations
10.
Ikeda, Atsushi, Hirokazu Nosato, Takahiro Kojima, et al.. (2019). Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence. Journal of Endourology. 34(3). 352–358. 78 indexed citations
11.
Nosato, Hirokazu, et al.. (2019). Multi-channel higher-order local autocorrelation for object detection on satellite images. International Journal of Remote Sensing. 41(2). 752–771. 2 indexed citations
12.
Nosato, Hirokazu, Hidenori Sakanashi, Eiichi Takahashi, et al.. (2017). Image Retrieval Method for Multiscale Objects from Optical Colonoscopy Images. International Journal of Biomedical Imaging. 2017. 1–13. 2 indexed citations
13.
Nosato, Hirokazu, et al.. (2014). Hotspot prevention and detection method using an image-recognition technique based on higher-order local autocorrelation. Journal of Micro/Nanolithography MEMS and MOEMS. 13(1). 11007–11007. 12 indexed citations
14.
Nosato, Hirokazu, Hidenori Sakanashi, Eiichi Takahashi, & Masahiro Murakawa. (2014). An objective evaluation method of ulcerative colitis with optical colonoscopy images based on higher order local auto-correlation features. 89–92. 4 indexed citations
15.
Nosato, Hirokazu, et al.. (2012). Cancer detection from pathological images using Higher-order Local Autocorrelation feature. 1198–1201. 4 indexed citations
16.
Matsunawa, Tetsuaki, Shigeki Nojima, Hirokazu Nosato, et al.. (2012). Generator of predictive verification pattern using vision system based on higher-order local autocorrelation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8326. 832615–832615. 6 indexed citations
17.
Nosato, Hirokazu, Tetsuaki Matsunawa, Shigeki Nojima, et al.. (2010). Ultimately accurate SRAF replacement for practical phases using an adaptive search algorithm based on the optimal gradient method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7640. 764018–764018. 6 indexed citations
18.
Nosato, Hirokazu, et al.. (2008). Automatic Adjustment For Laser Systems Using A Stochastic Binary Search Algorithm To Cope With Noisy Sensing Data. International Journal on Smart Sensing and Intelligent Systems. 1(2). 512–533. 2 indexed citations
19.
Matsunawa, Tetsuaki, Hirokazu Nosato, Hidenori Sakanashi, et al.. (2007). Adaptive Optical Proximity Correction Using an Optimization Method. 853–860. 6 indexed citations
20.
Matsunawa, Tetsuaki, Hirokazu Nosato, Hidenori Sakanashi, et al.. (2005). The novel approach for optical proximity correction using genetic algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5992. 599254–599254. 2 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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