Hubert S. Gabryś
About
Hubert S. Gabryś is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology.
According to data from OpenAlex, Hubert S. Gabryś has authored 26 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Hubert S. Gabryś's work include Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced X-ray and CT Imaging (6 papers) and Advanced Radiotherapy Techniques (4 papers). Hubert S. Gabryś is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced X-ray and CT Imaging (6 papers) and Advanced Radiotherapy Techniques (4 papers). Hubert S. Gabryś collaborates with scholars based in Switzerland, Germany and Norway. Hubert S. Gabryś's co-authors include Mark Bangert, Henrik Hauswald, Florian Buettner, Florian Sterzing, Stephanie Tanadini‐Lang, Matthias Gückenberger, Diem Vuong, Marta Bogowicz, Matea Pavic and Martin W. Huellner and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of the Rheumatic Diseases.
In The Last Decade
Hubert S. Gabryś
21 papers receiving 650 citations
Hit Papers
Peers
Hubert S. Gabryś
Tingliang Zhuang United States
Tomas Janssen Netherlands
H. Geng United States
Byong Yong Yi United States
Chee‐Wai Cheng United States
L. Widesott Italy
Poonam Yadav United States
L. Simon France
Vincent Bourbonne France
Geert Bosmans Netherlands
Citations per year, relative to Hubert S. Gabryś Hubert S. Gabryś (= 1×)
peers
Tingliang Zhuang
Countries citing papers authored by Hubert S. Gabryś
Since
Specialization
Citations
This map shows the geographic impact of Hubert S. Gabryś'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 Hubert S. Gabryś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert S. Gabryś more than expected).
Fields of papers citing papers by Hubert S. Gabryś
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Hubert S. Gabryś. 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 Hubert S. Gabryś. The network helps show where Hubert S. Gabryś may publish in the future.
Co-authorship network of co-authors of Hubert S. Gabryś
This figure shows the co-authorship network connecting the top 25 collaborators of Hubert S. Gabryś. A scholar is included among the top collaborators of Hubert S. Gabryś 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 Hubert S. Gabryś. Hubert S. Gabryś is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Timmeren, Janita E. van, et al.. (2025). N-Peaks: MRI intensity normalization based on normal tissue histogram peak intensities. Physics in Medicine and Biology. 70(24). 24NT01–24NT01.
2.
Ahmadsei, Maiwand, Martin D. Hürlimann, Hubert S. Gabryś, et al.. (2025). Cone-beam computed tomography-based online adaptive radiotherapy of esophageal cancer in the neoadjuvant setting: Dosimetric analysis, toxicity and treatment response. Radiotherapy and Oncology. 209. 110981–110981.
3.
Gabryś, Hubert S., Hatem Alkadhi, L. Wilke, et al.. (2025). First implementation of photon-counting detector computed tomography for optimizing segmentation in head-and-neck cancer radiotherapy. Physics and Imaging in Radiation Oncology. 36. 100864–100864.
4.
Gabryś, Hubert S., et al.. (2025). Postoperative stereotactic radiosurgery (SRS) vs hypofractionated stereotactic radiotherapy (SRT) for resected brain metastases – a single centre analysis. Clinical & Experimental Metastasis. 42(2). 16–16.
5.
Wang, Huijuan, Mamta Chabria, Grazia M. Cereghetti, et al.. (2024). Radioproteomics stratifies molecular response to antifibrotic treatment in pulmonary fibrosis. JCI Insight. 9(15).
6.
Bogowicz, Marta, Janine Gote-Schniering, Thomas Frauenfelder, et al.. (2024). Radiomics on slice-reduced versus full-chest computed tomography for diagnosis and staging of interstitial lung disease in systemic sclerosis: A comparative analysis. European Journal of Radiology Open. 13. 100596–100596.
7.
Gabryś, Hubert S., et al.. (2024). Magnetic resonance imaging radiomic features stability in brain metastases: Impact of image preprocessing, image-, and feature-level harmonization. Physics and Imaging in Radiation Oncology. 30. 100585–100585.
8.
Gabryś, Hubert S., Thomas Frauenfelder, Manfred Heller, et al.. (2023). POS0618 QUANTITATIVE RADIOMIC RISK SCORE STRATIFIES RESPONSE TO ANTI-FIBROTIC TREATMENT IN A PRECLINICAL LUNG FIBROSIS MODEL. Annals of the Rheumatic Diseases. 82. 582–582.
9.
Gabryś, Hubert S., Lucas Basler, Sabrina A. Hogan, et al.. (2022). Improved Survival Prediction by Combining Radiological Imaging and S-100B Levels Into a Multivariate Model in Metastatic Melanoma Patients Treated With Immune Checkpoint Inhibition. Frontiers in Oncology. 12. 830627–830627.
10.
Gabryś, Hubert S., Janine Gote-Schniering, Marta Bogowicz, et al.. (2022). Transferability of radiomic signatures from experimental to human interstitial lung disease. Frontiers in Medicine. 9. 988927–988927.
11.
Andratschke, Nicolaus, C.F. Behrens, Stefanie Ehrbar, et al.. (2022). Gating has a negligible impact on dose delivered in MRI-guided online adaptive radiotherapy of prostate cancer. Radiotherapy and Oncology. 170. 205–212.
12.
Gabryś, Hubert S., Lucas Basler, Sabrina A. Hogan, et al.. (2022). PET/CT radiomics for prediction of hyperprogression in metastatic melanoma patients treated with immune checkpoint inhibitors. Frontiers in Oncology. 12. 977822–977822.
13.
Gote-Schniering, Janine, Małgorzata Maciukiewicz, Hubert S. Gabryś, et al.. (2021). Computed tomography-based radiomics decodes prognostic and molecular differences in interstitial lung disease related to systemic sclerosis. European Respiratory Journal. 59(5). 2004503–2004503.
14.
Maciukiewicz, Małgorzata, Janine Gote-Schniering, Hubert S. Gabryś, et al.. (2021). OP0150 MACHINE LEARNING APPROACHES FOR RISK MODELLING IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS USING HIGH DIMENSIONAL IMAGE ANALYSIS. Annals of the Rheumatic Diseases. 80. 90–90.
15.
Basler, Lucas, Hubert S. Gabryś, Sabrina A. Hogan, et al.. (2020). Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition. Clinical Cancer Research. 26(16). 4414–4425.
16.
Astaburuaga-García, Rosario, Hubert S. Gabryś, B. Sánchez‐Nieto, et al.. (2019). Incorporation of Dosimetric Gradients and Parotid Gland Migration Into Xerostomia Prediction. Frontiers in Oncology. 9. 697–697.
17.
Gote-Schniering, Janine, Hubert S. Gabryś, Oliver Distler, et al.. (2019). Computed-tomography-based radiomics features for staging of interstitial lung disease – transferability from experimental to human lung fibrosis - a proof-of-concept study. PA4806–PA4806.
18.
Bogowicz, Marta, Diem Vuong, Martin W. Huellner, et al.. (2019). CT radiomics and PET radiomics: ready for clinical implementation?. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 63(4). 355–370.
19.
Gabryś, Hubert S., Florian Buettner, Florian Sterzing, Henrik Hauswald, & Mark Bangert. (2018). Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia. Frontiers in Oncology. 8. 35–35.
20.
Chwiej, Joanna, Hubert S. Gabryś, Krzysztof Janeczko, et al.. (2014). Elemental anomalies in the hippocampal formation after repetitive electrical stimulation: an X-ray fluorescence microscopy study. JBIC Journal of Biological Inorganic Chemistry. 19(7). 1209–1220.
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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