Dennis Bontempi

416 total citations · 1 hit paper
10 papers, 109 citations indexed

About

Dennis Bontempi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dennis Bontempi has authored 10 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dennis Bontempi's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (3 papers) and Medical Imaging Techniques and Applications (2 papers). Dennis Bontempi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (3 papers) and Medical Imaging Techniques and Applications (2 papers). Dennis Bontempi collaborates with scholars based in United States, Netherlands and Canada. Dennis Bontempi's co-authors include Hugo J.W.L. Aerts, Raymond H. Mak, Mateo Sokač, Suraj Pai, Ahmed Hosny, Simon Bernatz, Nicolai J. Birkbak, Tafadzwa L. Chaunzwa, Michele Svanera and Sergio Benini and has published in prestigious journals such as Nature Communications, International Journal of Radiation Oncology*Biology*Physics and Human Brain Mapping.

In The Last Decade

Dennis Bontempi

8 papers receiving 109 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Foundation model for cancer imaging biomarkers

2024 63 citations Suraj Pai, Dennis Bontempi et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dennis Bontempi United States	4	70	34	20	20	14	10	109
Taman Upadhaya France	6	103 1.5×	58 1.7×	26 1.3×	21 1.1×	24 1.7×	12	142
Suraj Pai Netherlands	5	64 0.9×	37 1.1×	15 0.8×	23 1.1×	20 1.4×	7	123
Haris Shuaib United Kingdom	7	87 1.2×	18 0.5×	15 0.8×	20 1.0×	12 0.9×	15	226
Leonor Cerdá-Alberich Spain	6	53 0.8×	21 0.6×	10 0.5×	19 0.9×	14 1.0×	13	92
Ahmed E. Fetit United Kingdom	7	122 1.7×	35 1.0×	21 1.1×	15 0.8×	15 1.1×	12	169
Seyyed Ali Hosseini Iran	7	114 1.6×	19 0.6×	31 1.6×	13 0.7×	49 3.5×	28	150
Xiaowu Liu China	6	78 1.1×	39 1.1×	52 2.6×	22 1.1×	13 0.9×	8	186
Mahdi Hosseinzadeh Iran	6	138 2.0×	46 1.4×	53 2.6×	13 0.7×	39 2.8×	10	191
Maliazurina B. Saad United States	5	58 0.8×	41 1.2×	43 2.1×	10 0.5×	14 1.0×	12	122
Krishna Nand Keshava Murthy United States	5	61 0.9×	35 1.0×	13 0.7×	47 2.4×	22 1.6×	10	134

Countries citing papers authored by Dennis Bontempi

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Bontempi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Bontempi

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

All Works

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10 of 10 papers shown

1.

Thompson, Leah L., Grace C. Lee, Sharon Jiang, et al.. (2025). Associations Between G8 Geriatric Screening Score, Charlson Comorbidity Index, AI-Based Age Phenotype, and Overall Survival in Older Adults With Stage I-II Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 123(5). 1295–1305.

2.

Pai, Suraj, Dennis Bontempi, Mateo Sokač, et al.. (2024). Foundation model for cancer imaging biomarkers. Nature Machine Intelligence. 6(3). 354–367. 63 indexed citations breakdown →

3.

Bontempi, Dennis, et al.. (2024). Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific Data. 11(1). 25–25. 2 indexed citations

4.

Yan, Yujie, Dennis Bontempi, Sarah Quirk, et al.. (2024). Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology. Frontiers in Oncology. 13. 1305511–1305511. 2 indexed citations

5.

Bontempi, Dennis, Sarah Quirk, Scott Friesen, et al.. (2024). A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy. The Lancet Digital Health. 7(1). e13–e22.

6.

Bontempi, Dennis, Suraj Pai, Ahmed Hosny, et al.. (2024). End-to-end reproducible AI pipelines in radiology using the cloud. Nature Communications. 15(1). 6931–6931. 6 indexed citations

7.

Weiß, Jakob, Vineet K. Raghu, Dennis Bontempi, et al.. (2023). Deep learning to estimate lung disease mortality from chest radiographs. Nature Communications. 14(1). 2797–2797. 18 indexed citations

8.

Bontempi, Dennis, Dirk De Ruysscher, André Dekker, et al.. (2022). DEEP LEARNING SEGMENTATION OF HEART SUBSTRUCTURES IN RADIOTHERAPY TREATMENT PLANNING. Physica Medica. 104. S76–S76. 1 indexed citations

9.

Zhovannik, Ivan, Dennis Bontempi, Elisabeth Pfaehler, et al.. (2022). Segmentation Uncertainty Estimation as a Sanity Check for Image Biomarker Studies. Cancers. 14(5). 1288–1288. 2 indexed citations

10.

Svanera, Michele, Sergio Benini, Dennis Bontempi, & Lars Muckli. (2021). CEREBRUM‐7T: Fast and Fully Volumetric Brain Segmentation of 7 Tesla MR Volumes. Human Brain Mapping. 42(17). 5563–5580. 15 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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