Akinobu Shimizu
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- Medical Image Segmentation Techniques 45
- Face and Expression Recognition 12
- Image Retrieval and Classification Techniques 10
- Face recognition and analysis 9
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- Radiomics and Machine Learning in Medical Imaging 23
- Medical Imaging Techniques and Applications 19
- Artificial Intelligence top 5%
- AI in cancer detection 32
- Mathematical Physics top 10%
- Health Informatics top 10%
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- Medical Imaging and Analysis 17
- Co-authors
- Hidefumi KobatakeShigeru NawanoLinlin HuangTokuzo ShigaDaniel SmutekKazuhiko HamamotoDaisuke FurukawaAkihiro Takemura
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingArtificial Intelligence
In The Last Decade
Akinobu Shimizu
118 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 664
- Radiology, Nuclear Medicine and Imaging 559
- Artificial Intelligence 376
- Mathematical Physics 105
- Health Informatics 13
Countries citing papers authored by Akinobu Shimizu
This map shows the geographic impact of Akinobu Shimizu'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 Akinobu Shimizu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akinobu Shimizu more than expected).
Fields of papers citing papers by Akinobu Shimizu
This network shows the impact of papers produced by Akinobu Shimizu. 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 Akinobu Shimizu. The network helps show where Akinobu Shimizu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akinobu Shimizu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 6 | |
| 4 | Development of a spatio-temporal statistical shape model of organs of nested structures | 2018 | 1 |
| 5 | 2016 | 15 | |
| 6 | Semi-automated organ segmentation using 3-dimensional medical imagery through sparse representation | 2013 | 6 |
| 7 | Vessel segmentation of eye fundus image based on ensemble learning and a classifier cascade | 2010 | 1 |
| 8 | Pancreas segmentation from three dimensional contrast enhanced CT images based on a patient specific atlas | 2009 | 1 |
| 9 | 3D extension of Haralick texture features for medical image analysis | 2007 | 7 |
| 10 | Texture analysis of hepatocellular carcinoma and liver cysts in CT images | 2006 | 1 |
| 11 | Probabilistic Atlas-guided Eigen-organ Method for Simultaneous Bounding Box Estimation of Multiple Organs in Volumetric CT Images | 2006 | 2 |
| 12 | Simultaneous location detection of multi-organ by atlas-guided eigen-organ method in volumetric medical images | 2006 | 11 |
| 13 | Improvements of a Breast Cancer Detection System for Three Dimensional Breast CT Images by Using New Feature and Classification Method | 2005 | 3 |
| 14 | A Modified Exoskeleton and a Hausdorff Distance Matching Algorithm for Shape-Based Object Recognition. | 2003 | 3 |
| 15 | I-31 Facial Characteristics Extraction Using Wavelet Transform And Its Application To Face Detection | 2002 | 3 |
| 16 | POSITIVELY RECURRENT MARKOV CHAINS AND THE STEPPING STONE MODEL AS A FLEMING-VIOT PROCESS | 2001 | 1 |
| 17 | Development of CAD System for Lung Cancer On Chest X-ray Images | 2000 | 1 |
| 18 | Performance evaluation of 3-D enhancement filters for detection of lung cancer from 3-D chest X-ray CT images | 1995 | 3 |
| 19 | Probability Model of Computer-aided Screening System Using Image Processing and Evaluation of Performance -The Case of Screening for X-Ray Images- | 1993 | 1 |
| 20 | 1970 | 8 |
About Akinobu Shimizu
Akinobu Shimizu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 126 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (45 papers), AI in cancer detection (32 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Medical Imaging Techniques and Applications (19 papers), Medical Imaging and Analysis (17 papers), Face and Expression Recognition (12 papers), Image Retrieval and Classification Techniques (10 papers) and Face recognition and analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (664 citations), Radiology, Nuclear Medicine and Imaging (559 citations) and Artificial Intelligence (376 citations). Akinobu Shimizu has collaborated with scholars based in Japan, Czechia and China. Frequent co-authors include Hidefumi Kobatake, Shigeru Nawano, Linlin Huang, Tokuzo Shiga, Daniel Smutek, Kazuhiko Hamamoto, Daisuke Furukawa, Akihiro Takemura, K. Shinozaki and Rena Ohno. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Medical Imaging.
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.