Andra-Iza Iuga

596 total citations · 1 hit paper
24 papers, 347 citations indexed

About

Andra-Iza Iuga is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andra-Iza Iuga has authored 24 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andra-Iza Iuga's work include Radiation Dose and Imaging (8 papers), Advanced X-ray and CT Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Andra-Iza Iuga is often cited by papers focused on Radiation Dose and Imaging (8 papers), Advanced X-ray and CT Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Andra-Iza Iuga collaborates with scholars based in Germany, United States and Switzerland. Andra-Iza Iuga's co-authors include David Maintz, Simon Lennartz, Jonathan Kottlors, Thomas Dratsch, Roman Johannes Gertz, Alexander C. Bunck, Thorsten Persigehl, Stefan Haneder, Grischa Bratke and Tilman Hickethier and has published in prestigious journals such as Radiology, Journal of Medical Internet Research and Medicine.

In The Last Decade

Andra-Iza Iuga

22 papers receiving 346 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.

GPT-4 for Automated Determination of Radiologic Study and Protocol Based on Radiology Request Forms: A Feasibility Study

2023 84 citations Roman Johannes Gertz, Alexander C. Bunck et al. Radiology profile →

Peers

Andra-Iza Iuga

RNMI

PRM

Reabal Najjar Australia

Kexue Deng China

Faraz Farhadi United States

Ural Koç Türkiye

Philipp Fervers Germany

Dong Joo Rhee United States

Yannik Leonhardt Germany

Bao H. United States

Richard W. Lee United Kingdom

Reabal Najjar Australia

Andra-Iza Iuga

215 ×0.8

RNMI

116 ×0.9

162 ×1.4

80 ×1.4

50 ×1.0

PRM

Citations per year, relative to Andra-Iza Iuga Andra-Iza Iuga (= 1×) peers Reabal Najjar

Countries citing papers authored by Andra-Iza Iuga

Since Specialization

Citations

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

Fields of papers citing papers by Andra-Iza Iuga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andra-Iza Iuga. 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 Andra-Iza Iuga. The network helps show where Andra-Iza Iuga may publish in the future.

Co-authorship network of co-authors of Andra-Iza Iuga

This figure shows the co-authorship network connecting the top 25 collaborators of Andra-Iza Iuga. A scholar is included among the top collaborators of Andra-Iza Iuga 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 Andra-Iza Iuga. Andra-Iza Iuga 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

Kottlors, Jonathan, Lukas Goertz, Andra-Iza Iuga, et al.. (2025). Large Language Models–Supported Thrombectomy Decision-Making in Acute Ischemic Stroke Based on Radiology Reports: Feasibility Qualitative Study. Journal of Medical Internet Research. 27. e48328–e48328. 3 indexed citations

Iuga, Andra-Iza, Simon Lennartz, Carsten Gietzen, et al.. (2025). GPT-4 for automated sequence-level determination of MRI protocols based on radiology request forms from clinical routine. European Radiology. 36(2). 1541–1552.

Gertz, Roman Johannes, Thomas Dratsch, Simon Lennartz, et al.. (2025). From dictation to diagnosis: enhancing radiology reporting with integrated speech recognition in multimodal large language models. European Radiology. 36(2). 1553–1561. 1 indexed citations

Dratsch, Thomas, Kilian Weiss, Robert Peter Reimer, et al.. (2024). Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers. European Journal of Radiology. 175. 111418–111418. 15 indexed citations

Gertz, Roman Johannes, Thomas Dratsch, Alexander C. Bunck, et al.. (2024). Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy. Radiology. 311(1). e232714–e232714. 60 indexed citations

Rose, Sarah, Roman Johannes Gertz, Lukas Goertz, et al.. (2024). Non-contrast-enhanced MR-angiography of Extracranial Arteries in Acute Ischemic Stroke at 1.5 Tesla Using Relaxation-Enhanced Angiography Without Contrast and Triggering (REACT). Clinical Neuroradiology. 35(1). 105–114. 1 indexed citations

Hackl, Michael, Andra-Iza Iuga, Tim Leschinger, et al.. (2023). Computed tomography-based angle measurements of the sagittal capitulum and trochlea position in relation to the humeral shaft. Surgical and Radiologic Anatomy. 45(5). 571–580. 1 indexed citations

Iuga, Andra-Iza, Simon Lennartz, Nils Große Hokamp, et al.. (2023). Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network. European Radiology Experimental. 7(1). 45–45. 5 indexed citations

Woźnicki, Piotr, Thorsten Alexander Bley, Matthias Schmidt, et al.. (2023). Transfer-Learning Deep Radiomics and Hand-Crafted Radiomics for Classifying Lymph Nodes from Contrast-Enhanced Computed Tomography in Lung Cancer. Cancers. 15(10). 2850–2850. 10 indexed citations

10.

Fervers, Philipp, Andra-Iza Iuga, Jonathan Kottlors, et al.. (2023). Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects. Diagnostics. 13(3). 418–418. 25 indexed citations

11.

Gertz, Roman Johannes, Alexander C. Bunck, Simon Lennartz, et al.. (2023). GPT-4 for Automated Determination of Radiologic Study and Protocol Based on Radiology Request Forms: A Feasibility Study. Radiology. 307(5). e230877–e230877. 84 indexed citations breakdown →

12.

Iuga, Andra-Iza, Liliana Caldeira, Simon Lennartz, et al.. (2021). Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network. European Journal of Radiology. 139. 109718–109718. 6 indexed citations

13.

Iuga, Andra-Iza, Tom Brosch, Tobias Klinder, et al.. (2021). Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks. BMC Medical Imaging. 21(1). 69–69. 15 indexed citations

14.

Iuga, Andra-Iza, Nuran Abdullayev, Kilian Weiss, et al.. (2020). Accelerated MRI of the knee. Quality and efficiency of compressed sensing. European Journal of Radiology. 132. 109273–109273. 19 indexed citations

15.

Bratke, Grischa, Stefan Haneder, Kilian Wegmann, & Andra-Iza Iuga. (2020). Distaler Unterschenkel, Sprunggelenk und Fuß. Der Radiologe. 60(6). 532–540. 1 indexed citations

16.

Iuga, Andra-Iza, Tom Brosch, Rafael Wiemker, et al.. (2020). Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks. 44–44. 4 indexed citations

17.

Lennartz, Simon, Nils Große Hokamp, Nuran Abdullayev, et al.. (2019). Diagnostic value of spectral reconstructions in detecting incidental skeletal muscle metastases in CT staging examinations. Cancer Imaging. 19(1). 50–50. 13 indexed citations

18.

Iuga, Andra-Iza, Jonas Doerner, Florian Siedek, et al.. (2019). Computed tomography pulmonary angiograms using a novel dual-layer spectral detector. Medicine. 98(33). e16606–e16606. 1 indexed citations

19.

Hickethier, Tilman, Andra-Iza Iuga, Gregor Pahn, et al.. (2017). Utilization of virtual mono-energetic images (MonoE) derived from a dual-layer spectral detector CT (SDCT) for the assessment of abdominal arteries in venous contrast phase scans. European Journal of Radiology. 99. 28–33. 24 indexed citations

20.

Doerner, Jonas, Julian A. Luetkens, Andra-Iza Iuga, et al.. (2017). Poly-energetic and virtual mono-energetic images from a novel dual-layer spectral detector CT: optimization of window settings is crucial to improve subjective image quality in abdominal CT angiographies. Abdominal Radiology. 43(3). 742–750. 24 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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