Tomoko Tateyama

571 citations
65 papers · 318 indexed · h-index 10
Topics
Medical Image Segmentation Techniques (23 papers)Image Retrieval and Classification Techniques (14 papers)AI in cancer detection (10 papers)
Partner nations
JapanChinaIran

In The Last Decade

Tomoko Tateyama

56 papers receiving 294 citations

Peers

Tomoko Tateyama
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 166
  • Artificial Intelligence 61
  • Radiology, Nuclear Medicine and Imaging 55
  • Human-Computer Interaction 54
  • Biomedical Engineering 47
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Citations per field
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Citations per year

Countries citing papers authored by Tomoko Tateyama

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Tateyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Tateyama

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Tateyama. A scholar is included among the top collaborators of Tomoko Tateyama 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 Tomoko Tateyama. Tomoko Tateyama 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
#WorkIndexed citations
1 0
2 5
3 1
4 2
5 0
6 5
7 10
8 7
9
Shape representation of human anatomy using spherical harmonic basis function
1
10
3D visualization of liver and its vascular structures and surgical planning system — Surgical simulation
0
11
MR imaging in gastrointestinal tracts: Static and dynamic assessment
4
12
Statistical shape model of the liver and effective mode selection for classification of liver cirrhosis
1
13
Cross-sectional imaging of the bowel
2
14
Facial morphology analysis for a genetic association study — A scheme of 3D face shape alignment
2
15
Evaluation of Statistical Shape Model Based Classification Performance for Liver Disease of Cirrhosis
1
16
3D Visualization of Liver and Its Vascular Structures and Surgical Planning System
1
17
Application of statistical shape model to diagnosis of liver disease
5
18
Automatic liver tumor detection using EM/MPM algorithm and shape information
12
19
Statistical atlases of human anatomy and computer assisted diagnostic system
1
20
Spherical harmonics based 3-D shape modeling for spleen
1

About Tomoko Tateyama

Tomoko Tateyama is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 65 papers that have together received 318 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Image Retrieval and Classification Techniques (14 papers) and AI in cancer detection (10 papers). The work is most often cited by research in Human-Computer Interaction (54 citations), Computer Vision and Pattern Recognition (166 citations) and Neurology (28 citations). Tomoko Tateyama has collaborated with scholars based in Japan, China and Iran. Frequent co-authors include Yen‐Wei Chen, Amir Hossein Foruzan, Yutaro Iwamoto, Akira Furukawa, Xian‐Hua Han, Shuzo Kanasaki, Lanfen Lin, Jiaqing Liu, Koji Yamazaki and Zensho Nakao. Their work appears in journals such as Neurocomputing, IEEE Sensors Journal and Computers in Biology and Medicine.

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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