Thomas M. Deserno

3.8k total citations
187 papers, 2.1k citations indexed

About

Thomas M. Deserno is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Thomas M. Deserno has authored 187 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 38 papers in Radiology, Nuclear Medicine and Imaging and 33 papers in Biomedical Engineering. Recurrent topics in Thomas M. Deserno's work include Image Retrieval and Classification Techniques (29 papers), AI in cancer detection (25 papers) and Non-Invasive Vital Sign Monitoring (23 papers). Thomas M. Deserno is often cited by papers focused on Image Retrieval and Classification Techniques (29 papers), AI in cancer detection (25 papers) and Non-Invasive Vital Sign Monitoring (23 papers). Thomas M. Deserno collaborates with scholars based in Germany, India and United States. Thomas M. Deserno's co-authors include Daniel Haak, Sameer Antani, Mostafa Haghi, Joana M. Warnecke, L. Rodney Long, Nagarajan Ganapathy, Ju Wang, Stephan Jonas, Nicolai Spicher and Ramakrishnan Swaminathan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Thomas M. Deserno

169 papers receiving 2.0k citations

Peers

Thomas M. Deserno

CVPR

RNMI

CCM

Dimitris Koutsouris Greece

Javier Andreu-Pérez United Kingdom

Daniele Ravì Italy

Charence Wong United Kingdom

Federico Bianchi Italy

Tanveer Syeda-Mahmood United States

Serena Yeung United States

Carmelo Militello Italy

María A. Zuluaga France

George K. Matsopoulos Greece

Dimitris Koutsouris Greece

Thomas M. Deserno

736 ×1.0

CVPR

361 ×0.7

505 ×1.2

185 ×0.6

RNMI

335 ×1.5

CCM

Citations per year, relative to Thomas M. Deserno Thomas M. Deserno (= 1×) peers Dimitris Koutsouris

Countries citing papers authored by Thomas M. Deserno

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Deserno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Deserno. 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 Thomas M. Deserno. The network helps show where Thomas M. Deserno may publish in the future.

Co-authorship network of co-authors of Thomas M. Deserno

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

All Works

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20 of 20 papers shown

Warnecke, Joana M., et al.. (2025). Mobilizing Health Monitoring: The Development and Integration of a Health-eScooter System. Proceedings of the ... Annual Hawaii International Conference on System Sciences.

Balfanz, Paul, Dirk Müller‐Wieland, Stephan Jonas, et al.. (2024). Monitoring individualized glucose levels predicts risk for bradycardia in type 2 diabetes patients with chronic kidney disease: a pilot study. Scientific Reports. 14(1). 30290–30290. 2 indexed citations

Zezéll, Denise Maria, et al.. (2024). Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images. Computer Methods and Programs in Biomedicine. 247. 108100–108100. 4 indexed citations

Spicher, Nicolai, Thomas Skripuletz, Majid Esmaeilzadeh, et al.. (2024). Task design for crowdsourced glioma cell annotation in microscopy images. Scientific Reports. 14(1). 1965–1965.

Spicher, Nicolai, et al.. (2023). Crowdsourcing image segmentation for deep learning: integrated platform for citizen science, paid microtask, and gamification. Biomedizinische Technik/Biomedical Engineering. 69(3). 293–305. 3 indexed citations

Haghi, Mostafa, et al.. (2023). Recognizing Human Activity of Daily Living Using a Flexible Wearable for 3D Spine Pose Tracking. Sensors. 23(4). 2066–2066. 8 indexed citations

Henze, Roman, et al.. (2023). Towards Prediction of Injuries in Traffic Accidents. Studies in health technology and informatics. 302. 118–122. 2 indexed citations

Deserno, Thomas M., et al.. (2023). 3D simulations and laboratory experiments to evaluate a dynamic airbag valve. International Journal of Crashworthiness. 29(2). 378–388.

Ramachandran, Ashwin, et al.. (2023). Video-based in-vehicle action recognition for continuous health monitoring. 31–31.

10.

Benis, Arriel, Mostafa Haghi, Oscar Tamburis, et al.. (2023). Digital Emergency Management for a Complex One Health Landscape: the Need for Standardization, Integration, and Interoperability. Yearbook of Medical Informatics. 32(1). 27–35.

11.

Henze, Roman, et al.. (2021). Tactile Occupant Detection Sensor for Automotive Airbag. Energies. 14(17). 5288–5288. 4 indexed citations

12.

Deserno, Thomas M., et al.. (2020). Data Provenance Standards and Recommendations for FAIR Data. Studies in health technology and informatics. 270. 1237–1238. 7 indexed citations

13.

Warnecke, Joana M., Wang Ju, & Thomas M. Deserno. (2020). Lessons Learned: Implementation of a Nationwide Innovative E-Learning Module for Health Enabling Technologies. Studies in health technology and informatics. 272. 39–42. 3 indexed citations

14.

Sınacı, Ali Anıl, Francisco J. Núñez-Benjumea, Thomas M. Deserno, et al.. (2020). From Raw Data to FAIR Data: The FAIRification Workflow for Health Research. Methods of Information in Medicine. 59(S 01). e21–e32. 70 indexed citations

15.

Kashif, Muhammad, Stephan Jonas, Daniel Haak, & Thomas M. Deserno. (2015). Bone age assessment meets SIFT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 941439–941439. 10 indexed citations

16.

Müller, Henning, et al.. (2012). IRMA Code II - A New Concept for Classification of Medical Images.. 440–445. 1 indexed citations

17.

Machado, Alexei Manso Corrêa, et al.. (2010). MammoSys: A content-based image retrieval system using breast density patterns. Computer Methods and Programs in Biomedicine. 99(3). 289–297. 56 indexed citations

18.

Grottke, Oliver, Alexandre Ntouba, Sebastian Ullrich, et al.. (2009). Virtual reality-based simulator for training in regional anaesthesia. British Journal of Anaesthesia. 103(4). 594–600. 57 indexed citations

19.

Tolxdorff, Thomas, et al.. (2008). Bildverarbeitung fr die Medizin 2008: Algorithmen - Systeme - Anwendungen (Informatik aktuell). Springer eBooks. 2 indexed citations

20.

Güld, Mark Oliver & Thomas M. Deserno. (2007). Baseline Results for the CLEF 2007 Medical Automatic Annotation Task. CLEF (Working Notes). 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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