Maurice Samulski

456 total citations
12 papers, 303 citations indexed

About

Maurice Samulski is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maurice Samulski has authored 12 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maurice Samulski's work include AI in cancer detection (10 papers), Digital Radiography and Breast Imaging (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Maurice Samulski is often cited by papers focused on AI in cancer detection (10 papers), Digital Radiography and Breast Imaging (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Maurice Samulski collaborates with scholars based in Netherlands, Switzerland and Sweden. Maurice Samulski's co-authors include Nico Karssemeijer, Peter Lucas, Marina Velikova, C. Boetes, Gerard J. den Heeten, Roel Mus, Ruud M. Pijnappel, David Beijerinck, Marc B. I. Lobbes and Ritse M. Mann and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Maurice Samulski

12 papers receiving 284 citations

Peers

Maurice Samulski

RNMI

CVPR

PRM

Nasrin Ahmadinejad Iran

Ja-Yeon Jeong South Korea

Azam Hamidinekoo United Kingdom

Quoc Dang Vu United Kingdom

Afsaneh Jalalian Iran

Ruining Deng United States

Manish Sapkota United States

Nor Aniza Azmi Malaysia

Nasrin Ahmadinejad Iran

Maurice Samulski

147 ×0.6

215 ×1.4

RNMI

67 ×0.7

CVPR

34 ×0.5

PRM

26 ×0.7

Citations per year, relative to Maurice Samulski Maurice Samulski (= 1×) peers Nasrin Ahmadinejad

Countries citing papers authored by Maurice Samulski

Since Specialization

Citations

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

Fields of papers citing papers by Maurice Samulski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Samulski

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Velikova, Marina, Peter Lucas, Maurice Samulski, & Nico Karssemeijer. (2013). On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. Artificial Intelligence in Medicine. 57(1). 73–86. 29 indexed citations

Samulski, Maurice, Marc B. I. Lobbes, Ritse M. Mann, et al.. (2012). Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts. Radiology. 266(1). 123–129. 48 indexed citations

Velikova, Marina, Peter Lucas, Maurice Samulski, & Nico Karssemeijer. (2012). A probabilistic framework for image information fusion with an application to mammographic analysis. Medical Image Analysis. 16(4). 865–875. 23 indexed citations

Samulski, Maurice, Marc B. I. Lobbes, David Beijerinck, et al.. (2012). Standalone computer-aided detection compared to radiologists’ performance for the detection of mammographic masses. European Radiology. 23(1). 93–100. 16 indexed citations

Tanner, Christine, Peter R. Snoeren, Maurice Samulski, et al.. (2011). Correlating locations in ipsilateral breast tomosynthesis views using an analytical hemispherical compression model. Physics in Medicine and Biology. 56(15). 4715–4730. 12 indexed citations

Samulski, Maurice & Nico Karssemeijer. (2011). Optimizing Case-Based Detection Performance in a Multiview CAD System for Mammography. IEEE Transactions on Medical Imaging. 30(4). 1001–1009. 57 indexed citations

Kallenberg, Michiel, et al.. (2011). Computer aided detection of breast masses in mammography using support vector machine classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79631K–79631K. 11 indexed citations

Samulski, Maurice, et al.. (2010). Using computer-aided detection in mammography as a decision support. European Radiology. 20(10). 2323–2330. 49 indexed citations

Velikova, Marina, Maurice Samulski, Peter Lucas, & Nico Karssemeijer. (2009). Improved mammographic CAD performance using multi-view information: a Bayesian network framework. Physics in Medicine and Biology. 54(5). 1131–1147. 40 indexed citations

10.

Samulski, Maurice, et al.. (2009). Analysis of probed regions in an interactive CAD system for the detection of masses in mammograms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7263. 726314–726314. 2 indexed citations

11.

Samulski, Maurice & Nico Karssemeijer. (2008). Matching mammographic regions in mediolateral oblique and cranio caudal views: a probabilistic approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6915. 69151M–69151M. 12 indexed citations

12.

Samulski, Maurice, Nico Karssemeijer, Peter Lucas, & P. Groot. (2007). Classification of mammographic masses using support vector machines and Bayesian networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 65141J–65141J. 4 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.

Explore authors with similar magnitude of impact