Jiří Chmelík

743 total citations
22 papers, 201 citations indexed

About

Jiří Chmelík is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jiří Chmelík has authored 22 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 11 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Jiří Chmelík's work include Medical Imaging and Analysis (10 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Jiří Chmelík is often cited by papers focused on Medical Imaging and Analysis (10 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Jiří Chmelík collaborates with scholars based in Czechia, United States and Germany. Jiří Chmelík's co-authors include Roman Jakubíček, Jiří Jan, Petr Ouředníček, Lukáš Lambert, Giampaolo Gavelli, Jozef Kaiser, Tomáš Zikmund, Lucy Vojtová, A.M. Abdel-Mohsen and J. Jančář and has published in prestigious journals such as Biophysical Journal, Molecules and Medical Image Analysis.

In The Last Decade

Jiří Chmelík

19 papers receiving 199 citations

Peers

Jiří Chmelík
Roman Jakubíček Czechia
Petr Ouředníček Czechia
Tristan Whitmarsh United Kingdom
Jinchi Wei United States
Lifang Pang China
Dan Han China
Brendan Eck United States
Meena Sankaranarayanan Singapore
Lihui Zhang China
Mateusz C. Florkow Netherlands
Roman Jakubíček Czechia
Jiří Chmelík
Citations per year, relative to Jiří Chmelík Jiří Chmelík (= 1×) peers Roman Jakubíček

Countries citing papers authored by Jiří Chmelík

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Chmelík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiří Chmelík

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

All Works

20 of 20 papers shown
1.
Středová, Hana, et al.. (2024). Evaluation of the Spatial Structure of Windbreaks from Digital Photography. Journal of Ecological Engineering. 25(10). 381–391.
2.
Kolář, Radim, Tomáš Vičar, Jiří Chmelík, et al.. (2023). Assessment of retinal vein pulsation through video-ophthalmoscopy and simultaneous biosignals acquisition. Biomedical Optics Express. 14(6). 2645–2645.
3.
Chmelík, Jiří, et al.. (2023). Demolded hollow high aspect-ratio parylene-C micropillars for real-time mechanosensing applications. Applied Materials Today. 31. 101736–101736. 1 indexed citations
4.
5.
Vičar, Tomáš, Jiří Chmelík, Jiří Navrátil, et al.. (2022). Cancer cell viscoelasticity measurement by quantitative phase and flow stress induction. Biophysical Journal. 121(9). 1632–1642. 7 indexed citations
6.
Klein, André, Jiří Chmelík, Lukas T. Rotkopf, et al.. (2021). P-018: Automatic analysis of magnetic resonance imaging in multiple myeloma patients: deep-learning based pelvic bone marrow segmentation and radiomics analysis for prediction of plasma cell infiltration. Clinical Lymphoma Myeloma & Leukemia. 21. S49–S49. 3 indexed citations
7.
Jakubíček, Roman, Tomáš Vičar, Jiří Chmelík, Petr Ouředníček, & Jiří Jan. (2021). Deep-learning Based Prediction of Virtual Non-contrast CT Images. 72–76. 2 indexed citations
8.
Chmelík, Jiří, André Klein, Lukas T. Rotkopf, et al.. (2021). P-012: Automatic bone marrow segmentation in whole-body magnetic resonance imaging: towards comprehensive, objective MRI-phenotypic bone marrow characterization in multiple myeloma. Clinical Lymphoma Myeloma & Leukemia. 21. S45–S46. 2 indexed citations
9.
Vičar, Tomáš, Jiří Chmelík, Roman Jakubíček, et al.. (2021). Self-supervised pretraining for transferable quantitative phase image cell segmentation. Biomedical Optics Express. 12(10). 6514–6514. 8 indexed citations
10.
Vičar, Tomáš, Jaromír Gumulec, Radim Kolář, et al.. (2021). Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 39. 439–442. 1 indexed citations
11.
Jakubíček, Roman, Jiří Chmelík, Jiří Jan, et al.. (2019). Learning–based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines. Computer Methods and Programs in Biomedicine. 183. 105081–105081. 22 indexed citations
12.
Jakubíček, Roman, Jiří Chmelík, Petr Ouředníček, & Jiří Jan. (2019). Deep-learning-based fully automatic spine centerline detection in CT data. PubMed. 2019. 2407–2410. 7 indexed citations
13.
Chmelík, Jiří, et al.. (2019). Iterative machine learning based rotational alignment of brain 3D CT data. PubMed. 2019. 4404–4408. 1 indexed citations
14.
15.
Chmelík, Jiří, Roman Jakubíček, Jiří Jan, et al.. (2018). Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data. Medical Image Analysis. 49. 76–88. 75 indexed citations
16.
Jan, Jiří, et al.. (2018). Spine lesion analysis in 3D CT data – Reporting on research progress. AIP conference proceedings. 1956. 20001–20001. 2 indexed citations
17.
Jakubíček, Roman, Jiří Chmelík, & Jiří Jan. (2017). Vertebrae Segmentation in 3D CT Data: A Review of Methods and Evaluation Approaches. Current Medical Imaging Formerly Current Medical Imaging Reviews. 14(6). 853–866. 3 indexed citations
18.
Chmelík, Jiří, Roman Jakubíček, & Jiří Jan. (2017). Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data - A Review. Current Medical Imaging Formerly Current Medical Imaging Reviews. 14(5). 686–694. 1 indexed citations
19.
Jančář, J., Lucy Vojtová, A.M. Abdel-Mohsen, et al.. (2016). Accurate micro-computed tomography imaging of pore spaces in collagen-based scaffold. Journal of Materials Science Materials in Medicine. 27(6). 110–110. 25 indexed citations
20.

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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