Valentin Oreiller

741 citations
15 papers · 318 · h-index 9

Impact in

Papers in

Valentin Oreiller

15 papers receiving 314 citations

Peers

Valentin Oreiller
Comparison fields: 5 of 30
  • Otorhinolaryngology 93
  • Radiology, Nuclear Medicine and Imaging 240
  • Health Informatics 7
  • Radiation 34
  • Neurology 26
Replace Xinzhi Teng with:
Xinzhi Teng Hong Kong
Nuo Tong China
Xudong Xue China
Matthew A. Deeley United States
Reza Reiazi Iran
Haonan Xiao Hong Kong
Jaehee Chun South Korea
Julie van der Veen Belgium
Nikolaos Koutsouvelis Switzerland
Valentin Oreiller relative to Xinzhi Teng Hong Kong Xinzhi Teng's profile →
Citations per field
00.5×10×15×17.5×
Xinzhi Teng · 1×
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

15 of 15 papers shown
#Work
1 202271
2 202165
3
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans
202042
4 202239
5 202124
6 202320
7 202313
8 202210
9 20238
10 20227
11 20226
12 20216
13
Exploring local rotation invariance in 3D CNNs with steerable filters
20185
14 20221
15 20231

About Valentin Oreiller

Valentin Oreiller is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Otorhinolaryngology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 318 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Lung Cancer Diagnosis and Treatment (7 papers), Medical Imaging Techniques and Applications (6 papers), Head and Neck Cancer Studies (5 papers), MRI in cancer diagnosis (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper), Optical measurement and interference techniques (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Otorhinolaryngology (93 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Health Informatics (7 citations), Radiation (34 citations) and Neurology (26 citations). Valentin Oreiller has collaborated with scholars based in Switzerland, France and Canada. Frequent co-authors include Adrien Depeursinge, Vincent Andrearczyk, John O. Prior, Mario Jreige, Martin Vallières, Sarah Boughdad, Hesham Elhalawani, J. Castelli, Dimitris Visvikis and Catherine Cheze Le Rest. Their work appears in journals such as Medical Image Analysis, Clinical and Translational Radiation Oncology, European Radiology Experimental, Lecture notes in computer science and Informatics in Medicine Unlocked.

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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