Jan Egger

5.9k total citations · 3 hit papers
164 papers, 2.9k citations indexed

About

Jan Egger is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jan Egger has authored 164 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Biomedical Engineering, 55 papers in Radiology, Nuclear Medicine and Imaging and 53 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jan Egger's work include Radiomics and Machine Learning in Medical Imaging (33 papers), Medical Image Segmentation Techniques (31 papers) and Anatomy and Medical Technology (28 papers). Jan Egger is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (33 papers), Medical Image Segmentation Techniques (31 papers) and Anatomy and Medical Technology (28 papers). Jan Egger collaborates with scholars based in Germany, Austria and China. Jan Egger's co-authors include Jianning Li, Xiaojun Chen, Christina Gsaxner, Christopher Nimsky, Jens Kleesiek, Bernd Freisleben, Antonio Pepe, Tina Kapur, Jürgen Wallner and Dieter Schmalstieg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jan Egger

153 papers receiving 2.9k 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.

ChatGPT in healthcare: A taxonomy and systematic review

2024 171 citations Jianning Li, Amin Dada et al. profile →
CellViT: Vision Transformers for precise cell segmentation and classification

2024 96 citations Constantin Seibold, Julius Keyl et al. Medical Image Analysis profile →
Benefits, limits, and risks of ChatGPT in medicine

2025 22 citations Jan Egger et al. profile →

Peers

Countries citing papers authored by Jan Egger

Since Specialization

Citations

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

Fields of papers citing papers by Jan Egger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Egger

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Egger. A scholar is included among the top collaborators of Jan Egger 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 Jan Egger. Jan Egger 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo 2025 ·ACM Computing Surveys ·Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, (unknown), Behrus Puladi, (unknown), Kelsey L. Pomykala, Jens Kleesiek, Alejandro F. Frangi, Jan Egger	2
2	Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study 2025 ·PubMed ·(unknown), Constantin Seibold, Jan Egger, (unknown), (unknown), (unknown), (unknown), (unknown), Uli Fischer, (unknown), Jens Kleesiek	0
3	GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masks 2025 ·Data in Brief ·(unknown), (unknown), (unknown), Behrus Puladi, Victor Alves, Jan Egger	0
4	Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and English 2025 ·Narra J ·Malik Sallam, (unknown), (unknown), (unknown), (unknown), Maad M. Mıjwıl, (unknown), Mohammed Sallam, Jan Egger, Ahmad Samed Al‐Adwan	5
5	Classification of lung cancer subtypes on CT images with synthetic pathological priors 2024 ·Medical Image Analysis ·Wentao Zhu, Yuan Jin, (unknown), Geng Chen, Jan Egger, Shaoting Zhang, Dimitris Metaxas	6
6	Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions 2024 ·Advances in Medical Education and Practice ·Malik Sallam, (unknown), Huda Eid, Jan Egger, Behrus Puladi	8
7	A semi‐automatic method for block‐structured hexahedral meshing of aortic dissections 2024 ·International Journal for Numerical Methods in Biomedical Engineering ·(unknown), Antonio Pepe, (unknown), Jan Egger, Thomas‐Peter Fries	3
8	Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial 2024 ·npj Digital Medicine ·(unknown), (unknown), (unknown), (unknown), (unknown), Christian A. Mueller, Jan Egger, Frank Hölzle, Rainer Röhrig, Klaus Radermacher, M. de la Fuente, Behrus Puladi	0
9	Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery 2024 ·Universitätsbibliographie, Universität Duisburg-Essen ·(unknown), Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner	1
10	Generalisation of Segmentation Using Generative Adversarial Networks 2024 ·Universitätsbibliographie, Universität Duisburg-Essen ·(unknown), (unknown), Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger	0
11	A Baseline Solution for the ISBI 2024 Dreaming Challenge 2024 ·Universitätsbibliographie, Universität Duisburg-Essen ·(unknown), (unknown), Jens Kleesiek, Behrus Puladi, (unknown), Jan Egger, Christina Gsaxner	1
12	Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms 2024 ·Scientific Data ·(unknown), Antonio Pepe, (unknown), (unknown), (unknown), Jens Kleesiek, Johannes Schmid, (unknown), (unknown), Michael Fuchsjäger, Daniel Zimpfer, Jan Egger, Heinrich Mächler	3
13	Development and validation of a cadaveric porcine pseudotumor model for oral cancer biopsy and resection training 2024 ·BMC Medical Education ·(unknown), Peter Isfort, Till Braunschweig, Max J. H. Witjes, (unknown), Ashkan Rashad, Jan Egger, M. de la Fuente, Rainer Röhrig, Frank Hölzle, Behrus Puladi	1
14	CellViT: Vision Transformers for precise cell segmentation and classification breakdown → 2024 ·Medical Image Analysis ·(unknown), (unknown), (unknown), Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens T. Siveke, Barbara T. Grünwald, Jan Egger, Jens Kleesiek	96
15	Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen	8
16	Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence 2023 ·Expert Systems with Applications ·(unknown), Jan Egger, Andrea Bönsch, Joep Kraeima, (unknown), (unknown), (unknown), Caroline Wilpert, Mark Ooms, Peter Isfort, Frank Hölzle, Behrus Puladi	9
17	Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning 2023 ·JCO Clinical Cancer Informatics ·(unknown), Saskia Ting, Sven‐Thorsten Liffers, Kelsey L. Pomykala, Katja Steiger, Markus Albertsmeier, Martin K. Angele, Sylvie Lorenzen, Michael Quante, Wilko Weichert, Jan Egger, Jens T. Siveke, Jens Kleesiek	6
18	Evaluation of thresholding methods for the quantification of [68Ga]Ga-PSMA-11 PET molecular tumor volume and their effect on survival prediction in patients with advanced prostate cancer undergoing [177Lu]Lu-PSMA-617 radioligand therapy 2023 ·European Journal of Nuclear Medicine and Molecular Imaging ·Moon Kim, Robert Seifert, (unknown), David Kersting, (unknown), (unknown), Kelsey L. Pomykala, Jan Egger, Wolfgang P. Fendler, Ken Herrmann, Jens Kleesiek	12
19	Information extraction from weakly structured radiological reports with natural language queries 2023 ·European Radiology ·Amin Dada, (unknown), Moon Kim, (unknown), (unknown), Michael Forsting, Felix Nensa, Jan Egger, Jens Kleesiek	7
20	A review on AI-based medical image computing in head and neck surgery 2022 ·Physics in Medicine and Biology ·(unknown), (unknown), Jan Egger, Chunliang Wang, Örjan Smedby, Xiaoyi Jiang, Xiaojun Chen	22

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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