Nicolas Brieu

459 total citations
27 papers, 273 citations indexed

About

Nicolas Brieu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Nicolas Brieu has authored 27 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Nicolas Brieu's work include Cancer Immunotherapy and Biomarkers (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (6 papers). Nicolas Brieu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (6 papers). Nicolas Brieu collaborates with scholars based in Germany, United Kingdom and United States. Nicolas Brieu's co-authors include Günter Schmidt, David J. Harrison, Peter D. Caie, Ralf Schönmeyer, Ines P. Nearchou, Nathalie Harder, Katharina Nekolla, Armin Meier, Johannes Zimmermann and G. Binnig and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of Oncology.

In The Last Decade

Nicolas Brieu

25 papers receiving 268 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Brieu Germany 11 121 120 93 45 40 27 273
Kyunghyun Paeng South Korea 9 92 0.8× 136 1.1× 104 1.1× 58 1.3× 19 0.5× 29 237
Nicholas Meti Canada 9 109 0.9× 91 0.8× 96 1.0× 46 1.0× 13 0.3× 21 289
Jiamei Chen China 13 107 0.9× 66 0.6× 83 0.9× 88 2.0× 61 1.5× 25 350
Vipul Baxi United States 6 112 0.9× 205 1.7× 206 2.2× 63 1.4× 20 0.5× 16 446
Cristian Barrera United States 7 131 1.1× 83 0.7× 53 0.6× 92 2.0× 22 0.6× 17 239
Chiara Maria Lavinia Loeffler Germany 8 73 0.6× 112 0.9× 108 1.2× 33 0.7× 30 0.8× 12 240
Ksenija Kanjer Serbia 13 110 0.9× 103 0.9× 93 1.0× 45 1.0× 13 0.3× 32 336
Aurélie Fernandez Germany 5 119 1.0× 181 1.5× 151 1.6× 85 1.9× 55 1.4× 8 353
Stefan Schulz Germany 6 95 0.8× 165 1.4× 144 1.5× 63 1.4× 22 0.6× 17 362
Michael Lippert Denmark 7 109 0.9× 108 0.9× 122 1.3× 24 0.5× 46 1.1× 9 300

Countries citing papers authored by Nicolas Brieu

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Brieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Brieu

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Brieu. A scholar is included among the top collaborators of Nicolas Brieu 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 Nicolas Brieu. Nicolas Brieu 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
1.
Schick, Markus, Thomas Kunzke, Harald Hessel, et al.. (2025). Enhanced patient selection with quantitative continuous scoring of PD-L1 expression for IO treatment in metastatic NSCLC. npj Precision Oncology. 9(1). 315–315.
2.
Rosati, Marco, Anatoliy Shumilov, Thomas Padel, et al.. (2025). Utilizing Mask-Guided Cross-Image Attention for Zero-Shot In-Silico Histopathologic Image Generation with a Diffusion Model. 1–5. 2 indexed citations
3.
Brieu, Nicolas, Anatoliy Shumilov, Armin Meier, et al.. (2024). HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer. Scientific Reports. 14(1). 12129–12129. 16 indexed citations
4.
Xie, Mingchao, Andreas Spitzmüller, Harald Hessel, et al.. (2023). 1505 Spatial profiling of the SCLC tumor microenvironment defined by high MHC-I expression reveals association with functionally relevant antigen presentation. SHILAP Revista de lepidopterología. A1669–A1669. 1 indexed citations
5.
Schick, Markus, Thomas Kunzke, Thomas Padel, et al.. (2022). 583 Quantitative computational assessment of PD-L1 enables robust patient selection for biomarker-informed anti-PD-L1 treatment of NSCLC patients. Regular and Young Investigator Award Abstracts. A610–A610. 1 indexed citations
6.
Brieu, Nicolas, Ines P. Nearchou, Ognjen Arandjelović, et al.. (2021). Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning. Cancers. 13(7). 1624–1624. 19 indexed citations
7.
Meier, Armin, Keith E. Steele, Marlon C. Rebelatto, et al.. (2021). Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images. IEEE Transactions on Medical Imaging. 40(9). 2513–2523. 22 indexed citations
8.
Schönmeyer, Ralf, Germain Forestier, Nicolas Brieu, et al.. (2020). Graph-based description of tertiary lymphoid organs at single-cell level. PLoS Computational Biology. 16(2). e1007385–e1007385. 7 indexed citations
9.
Harder, Nathalie, Ralf Schönmeyer, Katharina Nekolla, et al.. (2019). Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanoma. Scientific Reports. 9(1). 7449–7449. 43 indexed citations
10.
Brieu, Nicolas, et al.. (2019). Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis. Scientific Reports. 9(1). 5174–5174. 34 indexed citations
11.
Harder, Nathalie, Maria Athelogou, Harald Hessel, et al.. (2018). Tissue Phenomics for prognostic biomarker discovery in low- and intermediate-risk prostate cancer. Scientific Reports. 8(1). 4470–4470. 21 indexed citations
12.
13.
Andrés, Christian, R. Hein, Tilo Biedermann, et al.. (2017). iDermatoPath – a novel software tool for mitosis detection in H&E‐stained tissue sections of malignant melanoma. Journal of the European Academy of Dermatology and Venereology. 31(7). 1137–1147. 11 indexed citations
14.
Alfonso, Juan Carlos López, Ralf Schönmeyer, Nicolas Brieu, et al.. (2016). In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium. Scientific Reports. 6(1). 33322–33322. 21 indexed citations
15.
Brieu, Nicolas, Nassir Navab, Jovana Serbanovic‐Canic, et al.. (2012). Image-based characterization of thrombus formation in time-lapse DIC microscopy. Medical Image Analysis. 16(4). 915–931. 1 indexed citations
16.
Brieu, Nicolas, Martin Groher, Jovana Serbanovic‐Canic, et al.. (2011). Joint Thrombus and Vessel Segmentation Using Dynamic Texture Likelihoods and Shape Prior. Lecture notes in computer science. 14(Pt 3). 579–586. 2 indexed citations
17.
Brieu, Nicolas, et al.. (2010). Characterization of the hemodynamic response in the rat lumbar spinal cord using intrinsic optical imaging and laser speckle. Journal of Neuroscience Methods. 191(2). 151–157. 12 indexed citations
18.
Brieu, Nicolas, Jovana Serbanovic‐Canic, Ana Cvejic, et al.. (2010). Thrombus segmentation by texture dynamics from microscopic image sequences. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76233Z–76233Z. 4 indexed citations
19.
Lesage, Frédéric, et al.. (2009). Optical imaging of vascular and metabolic responses in the lumbar spinal cord after T10 transection in rats. Neuroscience Letters. 454(1). 105–109. 10 indexed citations
20.
Brieu, Nicolas, Éric Beaumont, & Frédéric Lesage. (2008). Intrinsic Optical Imaging Of The Rat Lumbar Spinal Cord. Biomedical optics. 27. BMD7–BMD7. 1 indexed citations

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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