Andrew P. Bradley

15.4k citations
153 papers · 9.8k indexed · 2 hit papers · h-index 33

Andrew P. Bradley

147 papers receiving 9.3k citations

Hit Papers

The use of the area under the ROC curve in the evaluation...19972026200620161997202110002.0k3.0k4.0k

Peers

Andrew P. Bradley
Comparison fields: 5 of 222
  • Artificial Intelligence 4.0k
  • Computer Vision and Pattern Recognition 2.0k
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Molecular Biology 1.0k
  • Biomedical Engineering 834
Replace Nilanjan Dey with:
Nilanjan Dey India
Abbas Khosravi Australia
Krzysztof J. Cios United States
Laith Alzubaidi Australia
P. M. Durai Raj Vincent India
Connor Shorten United States
Mohammed A. Fadhel Iraq
Ye Duan United States
Yi Zhang China
Jinglan Zhang Australia
Andrew P. Bradley relative to Nilanjan Dey India Nilanjan Dey's profile →
Citations per field
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Nilanjan Dey · 1×
Citations per year

Countries citing papers authored by Andrew P. Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Bradley. 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 Andrew P. Bradley. The network helps show where Andrew P. Bradley may publish in the future.

Co-authorship network of co-authors of Andrew P. Bradley

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew P. Bradley. A scholar is included among the top collaborators of Andrew P. Bradley 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 Andrew P. Bradley. Andrew P. Bradley 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
#WorkIndexed citations
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Deep learning in medical image analysis and multimodal learning for clinical decision support: 4th international workshop, DLMIA 2018, and 8th international workshop, ML-CDS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, proceedings
57
7
Promoting Leadership in Australian Universities.
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Talent Management for Universities.
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10 56
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Interpretation of Summary Verification Measures for Ensemble Forecasts
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A One-Pass Extended Depth of Field Algorithm Based on the Over-Complete Discrete Wavelet Transform
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14
Can Region of Interest Coding Improve Overall Perceived Image Quality
8
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JPEG 2000 and Region of Interest Coding
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Classification in scale-space: Applications to texture analysis
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Classification In Scale-Space: Applications To Texture
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Cost-Sensitive Decision Tree Pruning: Use of the ROC Curve
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Scale-Space Texture Analysis
1

About Andrew P. Bradley

Andrew P. Bradley is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Biophysics, having authored 153 papers that have together received 9.8k indexed citations. Recurring topics across this work include AI in cancer detection (27 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Hearing Loss and Rehabilitation (14 papers). The work is most often cited by research in Health Informatics (204 citations), Artificial Intelligence (4.0k citations) and Health Information Management (475 citations). Andrew P. Bradley has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gustavo Carneiro, Nahla Barakat, Neeraj Dhungel, Michael P. Eckert, Jacinto C. Nascimento, Zhi Lu, Elizabeth D. Williams, John V. Pearson, Olga Kondrashova and Khoa Tran. Their work appears in journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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