Benjamin Irving

706 citations
19 papers · 202 · h-index 9

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Radiation Dose and Imaging
    • Advanced MRI Techniques and Applications
    • Medical Imaging Techniques and Applications
    • MRI in cancer diagnosis

Papers in

Benjamin Irving

19 papers receiving 200 citations

Peers

Benjamin Irving
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 130
  • Biophysics 14
  • Computer Vision and Pattern Recognition 43
  • Health Informatics 2
  • Pulmonary and Respiratory Medicine 48
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Junko Ota Japan
Yoshito Takemura Japan
Hiba Omer Saudi Arabia
Oliver Gloger Germany
Xuelei He China
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El-Sayed H. Ibrahim United States
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Irving

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Irving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benjamin Irving, 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 Benjamin Irving Line = papers co-authored together Benjamin Irving links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201426
2 200824
3
3D segmentation of the airway tree using a morphology based method
200922
4 201721
5 201619
6 200717
7 201914
8 202213
9 201613
10 20207
11 20115
12 20134
13 20144
14 20114
15 20153
16 20143
17
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
20171
18
Myocardial scar quantification using SLIC supervoxels - parcellation based on tissue characteristic strains
20171
19 20241

About Benjamin Irving

Benjamin Irving is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 19 papers that have together received 202 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers), Medical Image Segmentation Techniques (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), MRI in cancer diagnosis (4 papers), Digital Radiography and Breast Imaging (3 papers), Advanced MRI Techniques and Applications (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (130 citations), Biophysics (14 citations), Computer Vision and Pattern Recognition (43 citations), Health Informatics (2 citations) and Pulmonary and Respiratory Medicine (48 citations). Benjamin Irving has collaborated with scholars based in United Kingdom, South Africa and Australia. Frequent co-authors include E. R. Hering, Julia A. Schnabel, Paul Taylor, Andrew Todd‐Pokropek, Sir Michael Brady, Ewan M. Anderson, Tania S. Douglas, Bartłomiej W. Papież, Ruth J. Muschel and Ricky A. Sharma. Their work appears in journals such as Magnetic Resonance in Medicine, Medical Image Analysis, Radiation Protection Dosimetry, IEEE Transactions on Medical Imaging and European Journal of Radiology.

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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