Firas Khader

1.6k total citations · 1 hit paper
17 papers, 376 citations indexed

About

Firas Khader is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Firas Khader has authored 17 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 4 papers in Health Informatics. Recurrent topics in Firas Khader's work include Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 diagnosis using AI (5 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Firas Khader is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 diagnosis using AI (5 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Firas Khader collaborates with scholars based in Germany, United Kingdom and United States. Firas Khader's co-authors include Daniel Truhn, Jakob Nikolas Kather, Sven Nebelung, Christiane Kühl, Gustav Müller‐Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Johannes Stegmaier and Sebastian Foersch and has published in prestigious journals such as Cancer Research, Scientific Reports and Radiology.

In The Last Decade

Firas Khader

17 papers receiving 370 citations

Hit Papers

Denoising diffusion probabilistic models for 3D medical i... 2023 2026 2024 2025 2023 40 80 120
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.

  1. Denoising diffusion probabilistic models for 3D medical image generation
    2023 121 citations Firas Khader, Gustav Müller‐Franzes et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Firas Khader Germany 9 192 164 84 52 32 17 376
Fanjie Kong China 5 167 0.9× 160 1.0× 71 0.8× 35 0.7× 27 0.8× 14 299
Soroosh Tayebi Arasteh Germany 10 217 1.1× 185 1.1× 84 1.0× 86 1.7× 35 1.1× 25 455
Rayan Krishnan United States 3 123 0.6× 157 1.0× 64 0.8× 64 1.2× 43 1.3× 3 385
Vivek Natarajan United States 5 196 1.0× 204 1.2× 89 1.1× 34 0.7× 32 1.0× 7 367
Aaron Loh United States 3 189 1.0× 227 1.4× 86 1.0× 32 0.6× 33 1.0× 3 375
Yanfei Hong China 5 236 1.2× 196 1.2× 70 0.8× 53 1.0× 21 0.7× 6 319
Eleftherios Trivizakis Greece 9 267 1.4× 191 1.2× 50 0.6× 48 0.9× 27 0.8× 16 389

Countries citing papers authored by Firas Khader

Since Specialization
Citations

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

Fields of papers citing papers by Firas Khader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Firas Khader

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

All Works

17 of 17 papers shown
1.
Müller‐Franzes, Gustav, Firas Khader, Tianyu Han, et al.. (2025). Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2. Scientific Reports. 15(1). 23979–23979. 1 indexed citations
2.
Khader, Firas, Daniel Truhn, Pavol Čekan, et al.. (2025). Abstract LB114: Improved breast cancer prognostication through multimodal fusion of H&E and RNA FISH imaging. Cancer Research. 85(8_Supplement_2). LB114–LB114. 1 indexed citations
3.
Han, Tianyu, Sven Nebelung, Firas Khader, et al.. (2024). Medical large language models are susceptible to targeted misinformation attacks. npj Digital Medicine. 7(1). 288–288. 17 indexed citations
4.
Han, Tianyu, Christian Blüthgen, Firas Khader, et al.. (2024). Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining. Cell Reports Medicine. 5(9). 101713–101713. 2 indexed citations
5.
Nahhas, Omar S. M. El, Marko van Treeck, Georg Wölflein, et al.. (2024). From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology. Nature Protocols. 20(1). 293–316. 27 indexed citations
6.
Müller‐Franzes, Gustav, Firas Khader, Soroosh Tayebi Arasteh, et al.. (2024). Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization. Radiology. 312(1). e232304–e232304. 2 indexed citations
7.
Khader, Firas, Gustav Müller‐Franzes, Soroosh Tayebi Arasteh, et al.. (2023). Denoising diffusion probabilistic models for 3D medical image generation. Scientific Reports. 13(1). 7303–7303. 121 indexed citations breakdown →
8.
Müller‐Franzes, Gustav, Firas Khader, Soroosh Tayebi Arasteh, et al.. (2023). Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation. Scientific Reports. 13(1). 14207–14207. 8 indexed citations
9.
Khader, Firas, Gustav Müller‐Franzes, Tianyu Han, et al.. (2023). Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers. Radiology. 309(1). e230806–e230806. 39 indexed citations
10.
Khader, Firas, Johannes Stegmaier, Sven Nebelung, & Daniel Truhn. (2023). Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers. 2 indexed citations
11.
Arasteh, Soroosh Tayebi, Peter Isfort, Firas Khader, et al.. (2023). Collaborative training of medical artificial intelligence models with non-uniform labels. Scientific Reports. 13(1). 6046–6046. 12 indexed citations
12.
Khader, Firas, Jakob Nikolas Kather, Gustav Müller‐Franzes, et al.. (2023). Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data. Scientific Reports. 13(1). 10666–10666. 21 indexed citations
13.
Müller‐Franzes, Gustav, Jan Niehues, Firas Khader, et al.. (2023). A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis. Scientific Reports. 13(1). 12098–12098. 79 indexed citations
14.
Müller‐Franzes, Gustav, Soroosh Tayebi Arasteh, Firas Khader, et al.. (2023). Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images. Radiology. 307(3). e222211–e222211. 31 indexed citations
15.
Müller‐Franzes, Gustav, Teresa Nolte, Justus Schock, et al.. (2022). Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks. Diagnostics. 12(3). 688–688. 6 indexed citations
16.
Khader, Firas, Christoph Haarburger, Marcel N. Menke, et al.. (2022). Elevating Fundoscopic Evaluation to Expert Level - Automatic Glaucoma Detection Using Data from the Airogs Challenge. 1–4. 3 indexed citations
17.
Müller‐Franzes, Gustav, Sven Nebelung, Justus Schock, et al.. (2022). Reliability as a Precondition for Trust—Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction. Diagnostics. 12(2). 247–247. 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.

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