Frederik Deman

409 total citations
8 papers, 15 citations indexed

About

Frederik Deman is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Frederik Deman has authored 8 papers receiving a total of 15 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Frederik Deman's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Frederik Deman is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Frederik Deman collaborates with scholars based in Belgium, Australia and France. Frederik Deman's co-authors include Annouschka Laenen, Hans Wildiers, Chantal Van Ongeval, Giuseppe Floris, Ines Nevelsteen, Hilde Janssen, Caroline Weltens, Eva Oldenburger, Melissa Christiaens and Kevin Punie and has published in prestigious journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment and Histopathology.

In The Last Decade

Frederik Deman

3 papers receiving 14 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frederik Deman Belgium	2	7	7	6	6	5	8	15
Claudia Sangalli Italy	4	11 1.6×	6 0.9×	3 0.5×	3 0.5×	10 2.0×	7	20
C. E. H. Craig United Kingdom	2	5 0.7×	7 1.0×		6 1.0×	6 1.2×	2	23
Alan B. Rosenberg United States	2	3 0.4×	12 1.7×	14 2.3×	5 0.8×	4 0.8×	2	18
Anthony Ajiboye Nigeria	2	3 0.4×	3 0.4×	2 0.3×	14 2.3×	4 0.8×	3	20
J. Leigh Fantacone-Campbell United States	4	3 0.4×	9 1.3×	6 1.0×	12 2.0×	2 0.4×	5	25
Junyou Zhu China	4	4 0.6×	4 0.6×	3 0.5×	8 1.3×	5 1.0×	6	34
William Varnado United States	1	17 2.4×	8 1.1×	2 0.3×	7 1.2×		2	21
Nele Laudus Belgium	2	2 0.3×	4 0.6×	4 0.7×	2 0.3×	4 0.8×	3	12
Michael Kinney United States	2	4 0.6×	16 2.3×	8 1.3×	3 0.5×		2	16
Sarah P. Suehnholz United States	3	5 0.7×	11 1.6×	2 0.3×	8 1.3×	3 0.6×	6	26

Countries citing papers authored by Frederik Deman

Since Specialization

Citations

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

Fields of papers citing papers by Frederik Deman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederik Deman

This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Deman. A scholar is included among the top collaborators of Frederik Deman 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 Frederik Deman. Frederik Deman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Deman, Frederik, Glenn Broeckx, Inti Zlobec, et al.. (2025). Practical consequences of the European union-AI act for anatomic pathology laboratories a European society of pathology and European society of digital and integrative pathology commissioned expert opinion paper. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

Deman, Frederik, et al.. (2025). Practical implementation of AI in a non‐academic, non‐commercial Pathology laboratory: Real world experience and lessons learned. Histopathology. 87(5). 635–646. 1 indexed citations

Schutter, Harlinde De, et al.. (2025). Obstacles and drivers in the adoption of Standardized Structured Reporting (SSR): insights from pathologists. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 487(1). 163–173.

Deman, Frederik, et al.. (2025). Claudin-18.2 expression in gastro-oesophageal adenocarcinoma in a Western population: Overlap with other biomarkers and prognostic value.. Journal of Clinical Oncology. 43(16_suppl). 4021–4021.

Cyrta, Joanna, Vincent Cockenpot, Rita Canas‐Marques, et al.. (2024). 65P Multi-site European study of a fully automated artificial intelligence solution for HER2 IHC scoring in breast cancer. ESMO Open. 9. 103071–103071.

Broeckx, Glenn, Rémy Dubois, Charles Maussion, et al.. (2024). Development of a deep‐learning model tailored for HER2 detection in breast cancer to aid pathologists in interpreting HER2‐low cases. Histopathology. 85(3). 478–488. 5 indexed citations

Deman, Frederik, Kevin Punie, Annouschka Laenen, et al.. (2020). Assessment of stromal tumor infiltrating lymphocytes and immunohistochemical features in invasive micropapillary breast carcinoma with long-term outcomes. Breast Cancer Research and Treatment. 184(3). 985–998. 9 indexed citations

Vandamme, Timon, et al.. (2020). Gastrointestinal: Refractory dyspepsia due to primary gastric amyloidosis: Sometimes you have to dig deeper. Journal of Gastroenterology and Hepatology. 36(5). 1149–1149.

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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