Claudio E. von Schacky

548 total citations
22 papers, 362 citations indexed

About

Claudio E. von Schacky is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Claudio E. von Schacky has authored 22 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Surgery and 10 papers in Biomedical Engineering. Recurrent topics in Claudio E. von Schacky's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced X-ray and CT Imaging (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Claudio E. von Schacky is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced X-ray and CT Imaging (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Claudio E. von Schacky collaborates with scholars based in Germany, United States and Switzerland. Claudio E. von Schacky's co-authors include Sarah C. Foreman, Felix G. Gassert, Marcus R. Makowski, Pia M. Jungmann, Florian T. Gassert, Alexandra S. Gersing, Michael C. Nevitt, Carolin Knebel, Yannik Leonhardt and Thomas M. Link and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Claudio E. von Schacky

21 papers receiving 357 citations

Peers

Claudio E. von Schacky

RNMI

RHEUM

SURGE

PRM

Felix G. Gassert Germany

Rongguo Zhang China

Moozhan Nikpanah United States

Yannik Leonhardt Germany

Florian Hinterwimmer Germany

Dongjun Choi South Korea

Faraz Farhadi United States

Evangelia E. Vassalou Greece

Feyisope Eweje United States

Ismail Kabakus United States

Felix G. Gassert Germany

Claudio E. von Schacky

234 ×1.1

RNMI

129 ×0.9

46 ×0.6

RHEUM

59 ×0.8

SURGE

93 ×1.4

PRM

Citations per year, relative to Claudio E. von Schacky Claudio E. von Schacky (= 1×) peers Felix G. Gassert

Countries citing papers authored by Claudio E. von Schacky

Since Specialization

Citations

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

Fields of papers citing papers by Claudio E. von Schacky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio E. von Schacky. 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 Claudio E. von Schacky. The network helps show where Claudio E. von Schacky may publish in the future.

Co-authorship network of co-authors of Claudio E. von Schacky

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio E. von Schacky. A scholar is included among the top collaborators of Claudio E. von Schacky 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 Claudio E. von Schacky. Claudio E. von Schacky 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

Schacky, Claudio E. von, Felix Lindner, Matthias J. Feucht, et al.. (2024). Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis. Artificial Intelligence in Medicine. 150. 102843–102843. 5 indexed citations

Schacky, Claudio E. von, Sarah C. Foreman, Felix G. Gassert, et al.. (2024). Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning. BMC Medical Imaging. 24(1). 43–43. 4 indexed citations

Gassert, Florian T., Felix G. Gassert, Georg C. Feuerriegel, et al.. (2023). Diagnostic Delay in Patients with Osteoid Osteoma. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 196(7). 707–713. 1 indexed citations

Schacky, Claudio E. von, et al.. (2023). Convolutional neural networks on risk stratification of patients with suspected coronary artery disease undergoing coronary computed tomography angiography. The International Journal of Cardiovascular Imaging. 39(6). 1209–1216. 3 indexed citations

Nadjiri, Jonathan, Tobias Koppara, Florian Weis, et al.. (2022). Coronary plaque characterization assessed by delayed enhancement dual-layer spectral CT angiography and optical coherence tomography. The International Journal of Cardiovascular Imaging. 38(11). 2491–2500.

Burian, Egon, Nicholas Callahan, Claudio E. von Schacky, et al.. (2022). Comparison of CT, MRI, and F-18 FDG PET/CT for initial N-staging of oral squamous cell carcinoma: a cost-effectiveness analysis. European Journal of Nuclear Medicine and Molecular Imaging. 49(11). 3870–3877. 10 indexed citations

Schacky, Claudio E. von, Yannik Leonhardt, Matthias Jung, et al.. (2022). Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors. European Radiology. 32(9). 6247–6257. 29 indexed citations

Matschinske, Julian, et al.. (2022). Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare – a proof of concept study for the prediction of coronary artery calcification scores. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 19(4). 6 indexed citations

Schacky, Claudio E. von, Yannik Leonhardt, Felix G. Gassert, et al.. (2021). Multitask Deep Learning for Segmentation and Classification of Primary Bone Tumors on Radiographs. Radiology. 301(2). 398–406. 77 indexed citations

10.

Peeken, Jan C., Jan Neumann, Yannik Leonhardt, et al.. (2021). Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics. Cancers. 13(8). 1929–1929. 30 indexed citations

11.

Gassert, Felix G., Claudio E. von Schacky, Florian T. Gassert, et al.. (2021). Calcium scoring using virtual non-contrast images from a dual-layer spectral detector CT: comparison to true non-contrast data and evaluation of proportionality factor in a large patient collective. European Radiology. 31(8). 6193–6199. 34 indexed citations

12.

Bodden, Jannis, Felix G. Gassert, Florian T. Gassert, et al.. (2021). Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance. Scientific Reports. 11(1). 15857–15857. 17 indexed citations

13.

Gassert, Florian T., Jan Neumann, Claudio E. von Schacky, et al.. (2021). Detection of Bone Marrow Edema in Patients with Osteoid Osteoma Using Three-Material Decomposition with Dual-Layer Spectral CT. Diagnostics. 11(6). 953–953. 7 indexed citations

14.

Schacky, Claudio E. von, Jae Ho Sohn, Felix Liu, et al.. (2020). Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs. Radiology. 295(1). 136–145. 75 indexed citations

15.

Schacky, Claudio E. von, Jae Ho Sohn, Sarah C. Foreman, et al.. (2020). Development and performance comparison with radiologists of a multitask deep learning model for severity grading of hip osteoarthritis features on radiographs. Osteoarthritis and Cartilage. 28. S306–S308. 4 indexed citations

16.

Zimmermann, G., Alexander A. Fingerle, Felix G. Gassert, et al.. (2020). Coronary calcium scoring assessed on native screening chest CT imaging as predictor for outcome in COVID-19: An analysis of a hospitalized German cohort. PLoS ONE. 15(12). e0244707–e0244707. 15 indexed citations

17.

Foreman, Sarah C., Joe D. Baal, Misung Han, et al.. (2019). Patients with Type 2 Diabetes Exhibit a More Mineralized Deep Cartilage Layer Compared with Nondiabetic Controls: A Pilot Study. Cartilage. 13(1_suppl). 428S–436S. 11 indexed citations

18.

Schacky, Claudio E. von, F. Liu, Sarah C. Foreman, et al.. (2019). Automated severity grading of radiographic hip osteoarthritis features with deep learning. Osteoarthritis and Cartilage. 27. S396–S397. 1 indexed citations

19.

Foreman, Sarah C., Alexandra S. Gersing, Claudio E. von Schacky, et al.. (2019). Chondrocalcinosis is associated with increased knee joint degeneration over 4 years: data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 28(2). 201–207. 23 indexed citations

20.

Foreman, Sarah C., Alan L. Zhang, Jan Neumann, et al.. (2019). Postoperative MRI Findings and Associated Pain Changes After Arthroscopic Surgery for Femoroacetabular Impingement. American Journal of Roentgenology. 214(1). 177–184. 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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