Joshy Cyriac

1.9k total citations · 2 hit papers
22 papers, 789 citations indexed

About

Joshy Cyriac is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joshy Cyriac has authored 22 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joshy Cyriac's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced X-ray and CT Imaging (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Joshy Cyriac is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced X-ray and CT Imaging (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). Joshy Cyriac collaborates with scholars based in Switzerland, Chile and Germany. Joshy Cyriac's co-authors include Alexander Sauter, Shan Yang, Daniel T. Boll, Tobias Heye, Maurice Pradella, Martin Segeroth, Jakob Wasserthal, Hanns‐Christian Breit, Michael Bach and Bram Stieltjes and has published in prestigious journals such as Radiology, European Radiology and Investigative Radiology.

In The Last Decade

Joshy Cyriac

18 papers receiving 775 citations

Hit Papers

2 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.

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

2023 465 citations Jakob Wasserthal, Hanns‐Christian Breit et al. profile →
TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI

2025 26 citations Tugba Akinci D’Antonoli, Matthias Jung et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshy Cyriac Switzerland	11	496	271	132	131	123	22	789
Alexander D. Weston United States	12	475 1.0×	203 0.7×	129 1.0×	107 0.8×	165 1.3×	25	973
Hanns‐Christian Breit Switzerland	11	541 1.1×	278 1.0×	46 0.3×	133 1.0×	91 0.7×	41	797
Shahein Tajmir United States	13	505 1.0×	244 0.9×	271 2.1×	93 0.7×	131 1.1×	19	1.2k
Aydın Demircioğlu Germany	16	545 1.1×	168 0.6×	64 0.5×	186 1.4×	113 0.9×	53	861
Jaron Chong Canada	20	649 1.3×	176 0.6×	293 2.2×	136 1.0×	139 1.1×	52	1.2k
Pouria Rouzrokh United States	18	358 0.7×	234 0.9×	263 2.0×	62 0.5×	295 2.4×	53	873
David Zopfs Germany	18	669 1.3×	544 2.0×	94 0.7×	151 1.2×	75 0.6×	77	1.1k
Thomas Weikert Switzerland	16	427 0.9×	144 0.5×	121 0.9×	173 1.3×	83 0.7×	38	759
Elizabeth Le United Kingdom	13	483 1.0×	199 0.7×	88 0.7×	225 1.7×	118 1.0×	24	826
Bernardo C. Bizzo United States	17	546 1.1×	220 0.8×	277 2.1×	146 1.1×	80 0.7×	59	880

Countries citing papers authored by Joshy Cyriac

Since Specialization

Citations

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

Fields of papers citing papers by Joshy Cyriac

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshy Cyriac

This figure shows the co-authorship network connecting the top 25 collaborators of Joshy Cyriac. A scholar is included among the top collaborators of Joshy Cyriac 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 Joshy Cyriac. Joshy Cyriac 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

Cyriac, Joshy, et al.. (2025). A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography. Clinical Radiology. 83. 106827–106827.

Wasserthal, Jakob, Martin Segeroth, Shan Yang, et al.. (2025). Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. Journal of Imaging Informatics in Medicine. 39(1). 345–354.

D’Antonoli, Tugba Akinci, Matthias Jung, Alexander Rau, et al.. (2025). TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI. Radiology. 314(2). e241613–e241613. 26 indexed citations breakdown →

Bach, Michael, Jakob Wasserthal, Martin Segeroth, et al.. (2025). Liver Segment and Lesion Segmentation on CT and MRI: An Open-Source Contribution to TotalSegmentator. Journal of Imaging Informatics in Medicine.

Vosshenrich, Jan, et al.. (2024). Quantifying Radiology Residents’ Learning Curves in Report Writing Performance Through Report Comparison and Jaccard Similarity. Radiology. 312(3). e233065–e233065.

Segeroth, Martin, Jonathan I. Sperl, Joshy Cyriac, et al.. (2023). Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT. European Journal of Radiology. 168. 111093–111093. 4 indexed citations

Segeroth, Martin, David Winkel, Ivo Strebel, et al.. (2023). Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics. European Heart Journal - Cardiovascular Imaging. 24(8). 1062–1071. 4 indexed citations

Vosshenrich, Jan, et al.. (2022). Quantifying the Effects of Structured Reporting on Report Turnaround Times and Proofreading Workload in Neuroradiology. Academic Radiology. 30(4). 727–736. 10 indexed citations

Pradella, Maurice, Rita Achermann, Jonathan I. Sperl, et al.. (2022). Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort. Frontiers in Cardiovascular Medicine. 9. 972512–972512. 7 indexed citations

10.

Anastasopoulos, Constantin, Shan Yang, Maurice Pradella, et al.. (2021). Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium. Journal of Cardiovascular Magnetic Resonance. 23(1). 133–133. 8 indexed citations

11.

Cyriac, Joshy, et al.. (2021). AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set size. European Radiology. 31(9). 6816–6824. 28 indexed citations

12.

Pradella, Maurice, Thomas Weikert, Jonathan I. Sperl, et al.. (2021). Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learning. Quantitative Imaging in Medicine and Surgery. 11(10). 4245–4257. 14 indexed citations

13.

Weikert, Thomas, Jens Bremerich, Bram Stieltjes, et al.. (2020). Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography. Korean Journal of Radiology. 21(7). 891–891. 69 indexed citations

14.

Anastasopoulos, Constantin, Thomas Weikert, Shan Yang, et al.. (2020). Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning. European Journal of Radiology. 131. 109233–109233. 18 indexed citations

15.

Vosshenrich, Jan, et al.. (2020). Revealing the most common reporting errors through data mining of the report proofreading process. European Radiology. 31(4). 2115–2125. 10 indexed citations

16.

Weikert, Thomas, Joshy Cyriac, Jens Bremerich, et al.. (2020). Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism. European Journal of Radiology. 125. 108862–108862. 14 indexed citations

17.

Weikert, Thomas, et al.. (2019). A Practical Guide to Artificial Intelligence–Based Image Analysis in Radiology. Investigative Radiology. 55(1). 1–7. 38 indexed citations

18.

Weikert, Thomas, Gregor Sommer, Michael Tamm, et al.. (2019). Centralized expert HRCT Reading in suspected idiopathic pulmonary fibrosis: Experience from an Eurasian teleradiology program. European Journal of Radiology. 121. 108719–108719. 1 indexed citations

19.

Obmann, Markus M., Joshy Cyriac, Bram Stieltjes, et al.. (2019). Quantitative enhancement thresholds and machine learning algorithms for the evaluation of renal lesions using single-phase split-filter dual-energy CT. Abdominal Radiology. 45(6). 1922–1928. 8 indexed citations

20.

Hirschmann, Anna, Joshy Cyriac, Bram Stieltjes, et al.. (2019). Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends. Seminars in Musculoskeletal Radiology. 23(3). 304–311. 48 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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