Tobias Hepp

774 total citations
26 papers, 405 citations indexed

About

Tobias Hepp is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tobias Hepp has authored 26 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tobias Hepp's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced X-ray and CT Imaging (6 papers). Tobias Hepp is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced X-ray and CT Imaging (6 papers). Tobias Hepp collaborates with scholars based in Germany, United Kingdom and Switzerland. Tobias Hepp's co-authors include Sergios Gatidis, Konstantin Nikolaou, Thomas Küstner, Bin Yang, Christian la Fougère, Marc Fischer, Bernhard Schölkopf, Karim Armanious, Christina Pfannenberg and Daniel L. Rubin and has published in prestigious journals such as Magnetic Resonance in Medicine, Plastic & Reconstructive Surgery and Scientific Data.

In The Last Decade

Tobias Hepp

24 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tobias Hepp Germany	12	263	89	86	69	54	26	405
Tomas Sakinis Norway	7	265 1.0×	103 1.2×	92 1.1×	52 0.8×	68 1.3×	10	499
Manudeep Kalra United States	11	208 0.8×	87 1.0×	96 1.1×	48 0.7×	40 0.7×	14	380
Mostafa Ghelich Oghli Iran	9	237 0.9×	98 1.1×	107 1.2×	39 0.6×	97 1.8×	19	386
Theodore W. Cary United States	10	256 1.0×	141 1.6×	99 1.2×	29 0.4×	37 0.7×	19	395
Fereshteh Yousefirizi Canada	11	249 0.9×	41 0.5×	89 1.0×	73 1.1×	27 0.5×	38	357
Khashayar Namdar Canada	10	280 1.1×	81 0.9×	71 0.8×	109 1.6×	46 0.9×	26	470
Sean D. McGarry United States	10	266 1.0×	109 1.2×	46 0.5×	151 2.2×	53 1.0×	16	426
Martin Segeroth Switzerland	5	337 1.3×	68 0.8×	180 2.1×	84 1.2×	78 1.4×	11	516
Alexandre Cadrin-Chênevert Canada	8	267 1.0×	92 1.0×	80 0.9×	73 1.1×	21 0.4×	15	389
Minglei Yang China	11	160 0.6×	80 0.9×	46 0.5×	99 1.4×	38 0.7×	35	292

Countries citing papers authored by Tobias Hepp

Since Specialization

Citations

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

Fields of papers citing papers by Tobias Hepp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Hepp

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Hepp. A scholar is included among the top collaborators of Tobias Hepp 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 Tobias Hepp. Tobias Hepp 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

Küstner, Thomas, Kerstin Hammernik, Daniel Rueckert, Tobias Hepp, & Sergios Gatidis. (2024). Predictive uncertainty in deep learning–based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set. Magnetic Resonance in Medicine. 92(1). 289–302. 3 indexed citations

Fischer, Marc, Tobias Hepp, Sergios Gatidis, & Bin Yang. (2023). Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations. Computerized Medical Imaging and Graphics. 104. 102174–102174. 15 indexed citations

Grözinger, Gerd, Tobias Hepp, You‐Shan Feng, et al.. (2023). Quantification of Facial Fat Compartment Variations: A Three-Dimensional Morphometric Analysis of the Cheek. Plastic & Reconstructive Surgery. 152(4). 617e–627e. 1 indexed citations

Hepp, Tobias, Sergios Gatidis, Kerstin Hammernik, & Thomas Küstner. (2023). Uncertainty estimation via ensembling for deep learning-based MR image reconstruction. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Thaiss, Wolfgang, Simone Moser, Tobias Hepp, et al.. (2022). Head-to-head comparison of biparametric versus multiparametric MRI of the prostate before robot-assisted transperineal fusion prostate biopsy. World Journal of Urology. 40(10). 2431–2438. 11 indexed citations

Hepp, Tobias, Petros Martirosian, Tom Hilbert, et al.. (2022). T2 mapping for the characterization of prostate lesions. World Journal of Urology. 40(6). 1455–1461. 13 indexed citations

Gatidis, Sergios, Tobias Hepp, Christian la Fougère, et al.. (2022). A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions. Scientific Data. 9(1). 601–601. 80 indexed citations

Fischer, Marc, Sven S. Walter, Tobias Hepp, et al.. (2021). Automated Morphometric Analysis of the Hip Joint on MRI from the German National Cohort Study. Radiology Artificial Intelligence. 3(5). e200213–e200213. 5 indexed citations

Armanious, Karim, et al.. (2021). Uncertainty-Based Biological Age Estimation of Brain MRI Scans. arXiv (Cornell University). 68. 1100–1104. 1 indexed citations

10.

Reinert, Christian Philipp, et al.. (2021). Correction to: Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the portal‑venous enhancement phase. Abdominal Radiology. 46(9). 4523–4523.

11.

Hepp, Tobias, Karim Armanious, Bernhard Schölkopf, et al.. (2021). Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study. Computerized Medical Imaging and Graphics. 92. 101967–101967. 22 indexed citations

12.

Hetzel, Jürgen, et al.. (2021). Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. Europe PMC (PubMed Central). 46 indexed citations

13.

Hepp, Tobias, Marc Fischer, Thomas Kuestner, et al.. (2020). Fully Automated Segmentation and Shape Analysis of the Thoracic Aorta in Non–contrast-enhanced Magnetic Resonance Images of the German National Cohort Study. Journal of Thoracic Imaging. 35(6). 389–398. 15 indexed citations

14.

Küstner, Thomas, Tobias Hepp, Marc Fischer, et al.. (2020). Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies. Radiology Artificial Intelligence. 2(6). e200010–e200010. 30 indexed citations

15.

Armanious, Karim, Tobias Hepp, Thomas Küstner, et al.. (2020). Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks. EJNMMI Research. 10(1). 53–53. 47 indexed citations

16.

Hepp, Tobias, et al.. (2020). Effects of simulated dose variation on contrast-enhanced CT-based radiomic analysis for Non-Small Cell Lung Cancer. European Journal of Radiology. 124. 108804–108804. 9 indexed citations

17.

Kaufmann, Sascha, Stephan Kruck, Sergios Gatidis, et al.. (2020). Simultaneous whole-body PET/MRI with integrated multiparametric MRI for primary staging of high-risk prostate cancer. World Journal of Urology. 38(10). 2513–2521. 16 indexed citations

18.

Küstner, Thomas, Tobias Hepp, Petros Martirosian, et al.. (2018). ImFEATbox: a toolbox for extraction and analysis of medical image features. International Journal of Computer Assisted Radiology and Surgery. 13(12). 1881–1893. 9 indexed citations

19.

Hepp, Tobias, Hans Bösmüller, Thomas Klag, et al.. (2018). Quantification of Hemodynamic Changes in Chronic Liver Disease: Correlation of Perfusion-CT Data with Histopathologic Staging of Fibrosis. Academic Radiology. 26(9). 1174–1180. 13 indexed citations

20.

Thaiss, Wolfgang, Ulrike Haberland, Sascha Kaufmann, et al.. (2018). Dose Optimization of Perfusion-derived Response Assessment in Hepatocellular Carcinoma Treated with Transarterial Chemoembolization: Comparison of Volume Perfusion CT and Iodine Concentration. Academic Radiology. 26(9). 1154–1163. 8 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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