Hidefumi Kobatake

3.0k total citations
100 papers, 1.1k citations indexed

About

Hidefumi Kobatake is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hidefumi Kobatake has authored 100 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hidefumi Kobatake's work include Medical Image Segmentation Techniques (34 papers), AI in cancer detection (24 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Hidefumi Kobatake is often cited by papers focused on Medical Image Segmentation Techniques (34 papers), AI in cancer detection (24 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Hidefumi Kobatake collaborates with scholars based in Japan, Czechia and United States. Hidefumi Kobatake's co-authors include Akinobu Shimizu, Shigeru Nawano, Linlin Huang, Masayuki Murakami, Daniel Smutek, Daisuke Furukawa, K. Shinozaki, Rena Ohno, Yuanzhong Li and Masahiro Yakami and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and IEEE Transactions on Medical Imaging.

In The Last Decade

Hidefumi Kobatake

95 papers receiving 1.1k citations

Peers

Hidefumi Kobatake
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 705
  • Radiology, Nuclear Medicine and Imaging 481
  • Artificial Intelligence 454
  • Biomedical Engineering 164
  • Pulmonary and Respiratory Medicine 131
Replace Veronika Cheplygina with:
Veronika Cheplygina Netherlands
Miguel Souto Spain
Michael D. Heath United States
Shih‐Chung B. Lo United States
Yu-Len Huang Taiwan
Tomasz Markiewicz Poland
Maximilian Baust Germany
Maha Sharkas Egypt
Yongyi Yang United States
Jun Jiang China
Veronika Cheplygina Netherlands View profile →
Citations per field, relative to Hidefumi Kobatake
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Citations per year, relative to Hidefumi Kobatake
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Countries citing papers authored by Hidefumi Kobatake

Since Specialization
Citations

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

Fields of papers citing papers by Hidefumi Kobatake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidefumi Kobatake

This figure shows the co-authorship network connecting the top 25 collaborators of Hidefumi Kobatake. A scholar is included among the top collaborators of Hidefumi Kobatake 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 Hidefumi Kobatake. Hidefumi Kobatake 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
# Work Indexed citations
1
Semi-automated organ segmentation using 3-dimensional medical imagery through sparse representation
6
2
Vessel segmentation of eye fundus image based on ensemble learning and a classifier cascade
1
3
Pancreas segmentation from three dimensional contrast enhanced CT images based on a patient specific atlas
1
4
Texture analysis of hepatocellular carcinoma and liver cysts in CT images
1
5
From One-Dimensional to Two- and Three-Dimensional Signal Processing
1
6
Probabilistic Atlas-guided Eigen-organ Method for Simultaneous Bounding Box Estimation of Multiple Organs in Volumetric CT Images
2
7
Simultaneous location detection of multi-organ by atlas-guided eigen-organ method in volumetric medical images
11
8
Improvement of Computer-aided detection system using a pair of whole body FDG-PET and CT images
1
9
Improvements of a Breast Cancer Detection System for Three Dimensional Breast CT Images by Using New Feature and Classification Method
3
10
Proposal of Atlas-guided Eigen-organ Method for Location Detection of Multi-Organs in Three Dimensional Medical Images(Joint Session 2)
2
11
A Modified Exoskeleton and a Hausdorff Distance Matching Algorithm for Shape-Based Object Recognition.
3
12
I-31 Facial Characteristics Extraction Using Wavelet Transform And Its Application To Face Detection
3
13
A Morphological Filter with Region Expansion to Extract Minute Convex Regions and Its Application to Medical Image Processing(次世代医用画像技術論文特集)
1
14
Development of CAD System for Lung Cancer On Chest X-ray Images
1
15
A Neural Network with Multiple Large-Scale Sub-Networks and Its Application to Recognition of Handwritten Characters
3
16
Computer Aided Diagnosis of Medical Images : The State of the Art and Its Technical Trend
1
17
Detection of Pneumoconiosis Opacities on CT Images and Its Application to Automatic Diagnosis
1
18
Contrastindependent detection method of curvilinear convex regions
1
19
Development of an Adaptive System for Microcalcification Detection
3
20
Detection of echo by linear prediction
1

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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