Ramil Kuleev

508 total citations
15 papers, 297 citations indexed

About

Ramil Kuleev is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Ramil Kuleev has authored 15 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Ramil Kuleev's work include Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Ramil Kuleev is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Ramil Kuleev collaborates with scholars based in Russia, Denmark and Pakistan. Ramil Kuleev's co-authors include Bulat Ibragimov, Ilyas Sirazitdinov, Maksym Kholiavchenko, Yixuan Yuan, Asad Masood Khattak, Adil Khan, Adıń Ramıŕez Rivera, Maxim Gusarev, Muhammad Ahmad and Tomaž Vrtovec and has published in prestigious journals such as Computer Communications, Computers & Electrical Engineering and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Ramil Kuleev

11 papers receiving 282 citations

Peers

Countries citing papers authored by Ramil Kuleev

Since Specialization

Citations

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

Fields of papers citing papers by Ramil Kuleev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramil Kuleev

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Efficient diagnosis of cardiovascular disease using composite deep learning and explainable AI technique 2024 ·Computer Research and Modeling ·(unknown), Asad Masood Khattak, Muhammad Zubair Asghar, Ramil Kuleev, (unknown)	0
2	A Fast and Compact Hybrid CNN for Hyperspectral Imaging-based Bloodstain Classification 2022 ·(unknown), (unknown), Muhammad Ahmad, Jianping Li, Ramil Kuleev	19
3	Secure aggregate signature scheme for smart city applications 2022 ·Computer Communications ·Nabeil Eltayieb, Rashad Elhabob, Muhammad Umar Aftab, Ramil Kuleev, Manuel Mazzara, Muhammad Ahmad	5
4	Multi-agent shape models for hip landmark detection in MR scans 2021 ·Research at the University of Copenhagen (University of Copenhagen) ·(unknown), (unknown), Tomaž Vrtovec, Ramil Kuleev, Bulat Ibragimov	4
5	Automating cardiothoracic ratio measurements in chest X-rays 2021 ·Research at the University of Copenhagen (University of Copenhagen) ·(unknown), (unknown), (unknown), Ramil Kuleev, Bulat Ibragimov	1
6	Contour-aware multi-label chest X-ray organ segmentation 2020 ·International Journal of Computer Assisted Radiology and Surgery ·Maksym Kholiavchenko, Ilyas Sirazitdinov, (unknown), (unknown), Ramil Kuleev, Yixuan Yuan, Tomaž Vrtovec, Bulat Ibragimov	35
7	Extracting clinical information from chest x-ray reports: A case study for Russian language 2020 ·(unknown), (unknown), Ramil Kuleev, Bulat Ibragimov	1
8	Data Augmentation for Chest Pathologies Classification 2019 ·Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov	19
9	Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database 2019 ·Computers & Electrical Engineering ·Ilyas Sirazitdinov, Maksym Kholiavchenko, (unknown), Yixuan Yuan, Ramil Kuleev, Bulat Ibragimov	154
10	Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection 2017 ·(unknown), Ramil Kuleev, Adil Khan, Adıń Ramıŕez Rivera, Asad Masood Khattak	17
11	Deep learning models for bone suppression in chest radiographs 2017 ·Maxim Gusarev, Ramil Kuleev, Adil Khan, Adıń Ramıŕez Rivera, Asad Masood Khattak	25
12	Advanced approaches to computer-aided detection of thoracic diseases on chest X-rays 2015 ·Applied Mathematical Sciences ·(unknown), Ramil Kuleev, (unknown), (unknown)	14
13	On a new approach to the automated detection of thoracic organs diseases using the spot feature in the analysis of digital X-ray images 2014 ·Applied Mathematical Sciences ·(unknown), Ramil Kuleev	1
14	An approach to estimation of image informativeness 2009 ·Pattern Recognition and Image Analysis ·(unknown), Ramil Kuleev	1
15	Interpreting multizonal images Methods and results 2007 ·Journal of Optical Technology ·(unknown), (unknown), Ramil Kuleev	1

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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