Armin Biller

1.8k citations
28 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Armin Biller

28 papers receiving 1.2k citations

Armin Biller's Hit Papers

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping 2016 · 336 citations
3360+3+6Years since publication100200300

Peers

Armin Biller
Comparison fields: 5 of 117
  • Neurology 206
  • Radiology, Nuclear Medicine and Imaging 372
  • Health Informatics 17
  • Cognitive Neuroscience 218
  • Psychiatry and Mental health 154
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Countries citing papers authored by Armin Biller

Since Specialization
Citations

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

Fields of papers citing papers by Armin Biller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
Hit paper breakdown →
2016336
2 2009182
3 2006159
4 201199
5 201189
6 201062
7 201550
8 200642
9 201934
10 200930
11 201530
12 201023
13 201521
14 201521
15 201620
16 202119
17 201615
18 20157
19 20216
20 20165

About Armin Biller

Armin Biller is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering, Pathology and Forensic Medicine and Neurology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Metabolism and Genetic Disorders (2 papers), Medical Imaging Techniques and Applications (2 papers), Machine Learning in Healthcare (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Systemic Lupus Erythematosus Research (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Neurology (206 citations), Radiology, Nuclear Medicine and Imaging (372 citations), Health Informatics (17 citations), Cognitive Neuroscience (218 citations) and Psychiatry and Mental health (154 citations). Armin Biller has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Bendszus, Jens Kleesiek, Klaus Maier‐Hein, Gregor Urban, Dániel Schwarz, Alexander Hubert, Andreas J. Bartsch, György A. Homola, Stephan Walther and L. Solymosi. Their work appears in journals such as NeuroImage, Scientific Reports, American Journal of Neuroradiology, Journal of Cerebral Blood Flow & Metabolism and Nature Communications.

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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