Synho Do

5.7k citations
74 papers · 3.8k · 3 hit papers · h-index 27

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Radiation Dose and Imaging
    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
    • COVID-19 diagnosis using AI
    • Cardiac Imaging and Diagnostics

Papers in

Synho Do

69 papers receiving 3.8k citations

Synho Do's Hit Papers

Current Applications and Future Impact of Machine Learning in Radiology 2018 · 562 citations
5620+3+6Years since publication100200300400500

Peers

Synho Do
Comparison fields: 5 of 162
  • Health Informatics 664
  • Radiology, Nuclear Medicine and Imaging 2.5k
  • Biomedical Engineering 1.5k
  • Oral Surgery 215
  • Artificial Intelligence 622
Replace Katherine P. Andriole with:
Katherine P. Andriole United States
Marc Kohli United States
Curtis P. Langlotz United States
Matthew P. Lungren United States
Luciano M. Prevedello United States
Kwang Gi Kim South Korea
Marina Codari Italy
Peter M. A. van Ooijen Netherlands
Keith J. Dreyer United States
Timothy L. Kline United States
Synho Do relative to Katherine P. Andriole United States Katherine P. Andriole's profile →
Citations per field
00.5×1.5×2.2×
Katherine P. Andriole · 1×
Citations per year

Countries citing papers authored by Synho Do

Since Specialization
Citations

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

Fields of papers citing papers by Synho Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Synho Do, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Synho Do Line = papers co-authored together Synho Do links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Current Applications and Future Impact of Machine Learning in Radiology
Hit paper breakdown →
2018562
2 2018419
3 2010367
4
Fully Automated Deep Learning System for Bone Age Assessment
Hit paper breakdown →
2017319
5
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
Hit paper breakdown →
2018309
6 2019169
7 2010136
8 2017123
9 2012123
10 2011104
11 201889
12 201982
13 201977
14 201864
15 201359
16 201358
17 202252
18 201449
19 201440
20 200940

About Synho Do

Synho Do is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 74 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (34 papers), Medical Imaging Techniques and Applications (31 papers), Radiation Dose and Imaging (22 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Cardiac Imaging and Diagnostics (8 papers), Artificial Intelligence in Healthcare and Education (8 papers), AI in cancer detection (8 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (664 citations), Radiology, Nuclear Medicine and Imaging (2.5k citations), Biomedical Engineering (1.5k citations), Oral Surgery (215 citations) and Artificial Intelligence (622 citations). Synho Do has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Mannudeep K. Kalra, Hyunkwang Lee, Keith J. Dreyer, James A. Brink, Homer Pien, Shahein Tajmir, Garry Choy, Sarabjeet Singh, Michael A. Blake and Jiang Hsieh. Their work appears in journals such as Journal of Computer Assisted Tomography, Radiology, Journal of Digital Imaging, American Journal of Roentgenology 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.

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