Valentin Oreiller

21 papers receiving 580 citations

Peers

Valentin Oreiller
Comparison fields: 5 of 21
  • Computer Vision and Pattern Recognition 326
  • Radiology, Nuclear Medicine and Imaging 123
  • Health Informatics 6
  • Radiation 11
  • Neurology 9
Replace Vanya Vabrina Valindria with:
Vanya Vabrina Valindria United Kingdom
Tony C. W. Mok Hong Kong
Shangqing Liu China
Olena Tankyevych France
Sahar Yousefi Netherlands
Jun Xia China
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Citations per field
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Citations per year

Countries citing papers authored by Valentin Oreiller

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Oreiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021168
2 202279
3 202173
4 202351
5
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans
202044
6 202123
7 202323
8 202322
9 202120
10 202015
11 202212
12 202310
13 20228
14
Exploring local rotation invariance in 3D CNNs with steerable filters
20187
15
Oropharynx detection in PET-CT for tumor segmentation
20207
16 20227
17 20216
18 20235
19 20221
20
Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net
20221

About Valentin Oreiller

Valentin Oreiller is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology and Nuclear Energy and Engineering, having authored 23 papers that have together received 583 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Radiology, Nuclear Medicine and Imaging (123 citations), Health Informatics (6 citations), Radiation (11 citations) and Neurology (9 citations). Valentin Oreiller has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Adrien Depeursinge, Vincent Andrearczyk, John Olivier Prior, Mario Jreige, Martin Vallières, Hesham M. Elhalawani, Sarah Boughdad, Joël Castelli, Mathieu Hatt and Catherine Cheze Le Rest. Their work appears in journals such as Medical Image Analysis, Briefings in Bioinformatics, Clinical and Translational Radiation Oncology, European Radiology Experimental and Lecture notes in computer science.

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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