Yoshito Mekada

857 total citations
64 papers, 575 citations indexed

About

Yoshito Mekada is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yoshito Mekada has authored 64 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yoshito Mekada's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Video Surveillance and Tracking Methods (11 papers) and AI in cancer detection (8 papers). Yoshito Mekada is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Video Surveillance and Tracking Methods (11 papers) and AI in cancer detection (8 papers). Yoshito Mekada collaborates with scholars based in Japan and United States. Yoshito Mekada's co-authors include Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu, T. Takahashi, Kensaku Mori, Md. Khayrul Bashar, Tomokazu Takahashi, Daisuke Deguchi, Takayuki Kitasaka and Yasuhito Suenaga and has published in prestigious journals such as JAMA, Sensors and Pattern Recognition.

In The Last Decade

Yoshito Mekada

55 papers receiving 542 citations

Peers

Yoshito Mekada

CVPR

RNMI

GASTR

Yasin Almalıoğlu United Kingdom

Jun-Yan He China

Mohamed El Ansari Morocco

Huijie Fan China

Zhiyong Huang China

Jingye Cai China

Seung‐Hwan Bae South Korea

Ali Ghaffari Iran

Yong Ding China

Bisser Raytchev Japan

Yasin Almalıoğlu United Kingdom

Yoshito Mekada

342 ×1.1

CVPR

28 ×0.3

RNMI

62 ×0.9

GASTR

121 ×1.8

37 ×0.6

Citations per year, relative to Yoshito Mekada Yoshito Mekada (= 1×) peers Yasin Almalıoğlu

Countries citing papers authored by Yoshito Mekada

Since Specialization

Citations

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

Fields of papers citing papers by Yoshito Mekada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshito Mekada

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

Mekada, Yoshito, et al.. (2023). Liver tumor detection and classification from abdominal ultrasound images with CenterNet using contrastive learning. 1–1. 2 indexed citations

Nishida, Naoshi, Makoto Yamakawa, Tsuyoshi Shiina, et al.. (2022). Artificial intelligence (AI) models for the ultrasonographic diagnosis of liver tumors and comparison of diagnostic accuracies between AI and human experts. Journal of Gastroenterology. 57(4). 309–321. 42 indexed citations

Ikeda, Yusuke, et al.. (2021). Lesion Image Generation Using Conditional GAN for Metastatic Liver Cancer Detection. Journal of Image and Graphics. 9(1). 27–30. 13 indexed citations

Mekada, Yoshito, et al.. (2020). Lesion Image Synthesis Using DCGANs for Metastatic Liver Cancer Detection. Advances in experimental medicine and biology. 1213. 95–106. 18 indexed citations

Deguchi, Daisuke, et al.. (2015). A study on the prediction of driver's pedestrian detectability considering characteristics of human fields-of-view while driving. IEICE Technical Report; IEICE Tech. Rep.. 114(521). 223–228. 3 indexed citations

Deguchi, Daisuke, et al.. (2014). Prediction of driver's pedestrian detectability by image processing adaptive to visual fields of view. 20. 1388–1393. 7 indexed citations

Deguchi, Daisuke, et al.. (2012). Ego-Localization Based on Frame Correspondences between In-Vehicle Camera Images and Streetview Database. 95(11). 1973–1982.

Deguchi, Daisuke, et al.. (2011). On-road Obstacle Detection by Comparing Present and Past In-vehicle Camera Images. Machine Vision and Applications. 357–360. 12 indexed citations

Noda, Masafumi, et al.. (2011). Prediction of driving behavior using driver's gaze information. IEICE Technical Report; IEICE Tech. Rep.. 111(48). 105–110. 1 indexed citations

10.

Deguchi, Daisuke, Tomokazu Takahashi, Yoshito Mekada, et al.. (2009). A study on image features for visibility estimation of traffic signs using in-vehicle camera. 109(306). 183–188. 1 indexed citations

11.

Noda, Masafumi, Tomokazu Takahashi, Ichiro Ide, Yoshito Mekada, & Hiroshi Murase. (2008). Recognition of Road Markings from In-Vehicle Camera Images using Generative Learning Method. IEICE Technical Report; IEICE Tech. Rep.. 108(263). 31–36. 1 indexed citations

12.

Deguchi, Daisuke, et al.. (2008). Cascaded Traffic Sign Detector Using Generative Learning Considering Color Variance. IEICE Technical Report; IEICE Tech. Rep.. 108(363). 135–140. 2 indexed citations

13.

Takahashi, Tomokazu, et al.. (2006). Recognition of Very Low-Resolution Characters from Motion Images Taken by Portable Digital Cameras. 89(2). 323–331. 1 indexed citations

14.

Noguchi, Masanori, Daisuke Deguchi, Jun‐ichiro Toriwaki, et al.. (2006). Evaluation of a prostate biopsy strategy for cancer detection using a computer simulation system with virtual needle biopsy for three‐dimensional prostate models. International Journal of Urology. 13(10). 1296–1303. 2 indexed citations

15.

Ishida, Hiroyuki, et al.. (2005). Recognition of low-resolution characters by a generative learning method. JAMA. 284(6). 686–686. 13 indexed citations

16.

Mori, Kensaku, Takayuki Kitasaka, Yoshito Mekada, et al.. (2005). Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy. Lecture notes in computer science. 8(Pt 2). 854–861. 10 indexed citations

17.

Mekada, Yoshito, et al.. (1999). Acoustic Analysis of Emotional Expressions Present in Speech Signals.. The Journal of The Institute of Image Information and Television Engineers. 53(5). 769–772.

18.

Hasegawa, Hiroshi, et al.. (1998). Communication System for People with Physical Disability Using Voice Recognizer(Special Section of Papers Selected from ITC-CSCC'97). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(6). 1097–1104.

19.

Hirano, Yasushi, Jun‐ichiro Toriwaki, Yoshito Mekada, et al.. (1997). Quantification of vessels convergence in three-dimensional chest X-ray CT images with three-dimensional concentration index. 15(3). 228–236. 8 indexed citations

20.

Matsumoto, Shuichi, et al.. (1997). Efficient IIR filter design for approximation of complex frequency characteristics. 96(550). 41–48. 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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