Vladimir Groza

816 total citations
9 papers, 25 citations indexed

About

Vladimir Groza is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Vladimir Groza has authored 9 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Neurology. Recurrent topics in Vladimir Groza's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (4 papers) and Brain Tumor Detection and Classification (4 papers). Vladimir Groza is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (4 papers) and Brain Tumor Detection and Classification (4 papers). Vladimir Groza collaborates with scholars based in Russia and France. Vladimir Groza's co-authors include Dennis Eschweiler, Didier Auroux, Tom Brosch, Hannes Nickisch, Heinrich Schulz, Steffen Renisch, Nozha Boujemaa, Benoît Huet and Yan Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Inverse Problems in Science and Engineering.

In The Last Decade

Vladimir Groza

7 papers receiving 24 citations

Peers

Vladimir Groza

RNMI

CVPR

PRM

NEURO

AI

Mahendra Khened India

H. R. Schmidt Germany

Maximilian Zenk Germany

Harald Paukisch Germany

Mateo Gende Spain

Mustafa Al-Maini India

Robin Demesmaeker Switzerland

R. An China

Jayashree Kalpathy-Cramer United States

Mahendra Khened India

Vladimir Groza

12 ×0.9

RNMI

11 ×1.1

CVPR

4 ×0.4

PRM

5 ×0.8

NEURO

6 ×1.2

AI

Citations per year, relative to Vladimir Groza Vladimir Groza (= 1×) peers Mahendra Khened

Countries citing papers authored by Vladimir Groza

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir Groza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Groza

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

All Works

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9 of 9 papers shown

1.

Groza, Vladimir, et al.. (2023). Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods. 112–117.

2.

Groza, Vladimir, et al.. (2022). Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 1 indexed citations

3.

Groza, Vladimir, et al.. (2022). Specific features of designing a database for neuro-oncological 3D MRI images to be used in training artificial intelligence. SHILAP Revista de lepidopterología. 42(6). 51–59.

4.

Liu, Yan, et al.. (2021). Machine learning based biomarkers to predict CD8 infiltration in non-small cell lung cancers using CT imaging.. Journal of Clinical Oncology. 39(15_suppl). e21145–e21145. 1 indexed citations

5.

Groza, Vladimir, et al.. (2020). Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing. 185–189. 4 indexed citations

6.

Groza, Vladimir, et al.. (2020). Pneumothorax Segmentation with Effective Conditioned Post-Processing in Chest X-Ray. 1–4. 9 indexed citations

7.

Groza, Vladimir, et al.. (2020). Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation. 1–4. 3 indexed citations

8.

Groza, Vladimir, Tom Brosch, Dennis Eschweiler, et al.. (2018). Comparison of deep learning-based techniques for organ segmentation in abdominal CT images. 6 indexed citations

9.

Auroux, Didier & Vladimir Groza. (2016). Optimal parameters identification and sensitivity study for abrasive waterjet milling model. Inverse Problems in Science and Engineering. 25(11). 1560–1576. 1 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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