Synho Do

5.8k citations
79 papers · 4.2k · 3 hit papers · h-index 28

Impact in

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

Papers in

Synho Do

76 papers receiving 4.1k citations

Synho Do's Hit Papers

An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets 2018 · 341 citations
3410+3+6Years since publication100200300400500

Peers

Synho Do
Comparison fields: 5 of 157
  • Health Informatics 631
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Oral Surgery 177
  • Biomedical Engineering 976
  • Health Information Management 81
Replace Safwan S. Halabi with:
Safwan S. Halabi United States
Katherine P. Andriole United States
Luciano M. Prevedello United States
Marina Codari Italy
Bulat Ibragimov Denmark
Kwang Gi Kim South Korea
Jan Egger Germany
Hyunkwang Lee United States
Ulaş Bağcı United States
Keith J. Dreyer United States
Synho Do relative to Safwan S. Halabi United States Safwan S. Halabi's profile →
Citations per field
00.5×4.0×
Safwan S. Halabi · 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 79 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 →
2018595
2 2018482
3 2010384
4
Fully Automated Deep Learning System for Bone Age Assessment
Hit paper breakdown →
2017346
5
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
Hit paper breakdown →
2018341
6 2019182
7 2010143
8 2017132
9 2012125
10 2011105
11 201898
12 201996
13 201985
14 202265
15 201864
16 201363
17 201361
18 201450
19 200944
20 201442

About Synho Do

Synho Do is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 4.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (24 papers), Advanced X-ray and CT Imaging (21 papers), Radiation Dose and Imaging (20 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (8 papers), Cardiac Imaging and Diagnostics (6 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Health Informatics (631 citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Oral Surgery (177 citations), Biomedical Engineering (976 citations) and Health Information Management (81 citations). Synho Do has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Hyunkwang Lee, Mannudeep K. Kalra, James A. Brink, Keith J. Dreyer, 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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