Agata Mosinska

586 total citations
13 papers, 330 citations indexed

About

Agata Mosinska is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Agata Mosinska has authored 13 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Ophthalmology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Agata Mosinska's work include Retinal Imaging and Analysis (8 papers), Retinal Diseases and Treatments (6 papers) and Retinal and Optic Conditions (3 papers). Agata Mosinska is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Retinal Diseases and Treatments (6 papers) and Retinal and Optic Conditions (3 papers). Agata Mosinska collaborates with scholars based in Switzerland, Netherlands and United Kingdom. Agata Mosinska's co-authors include Pascal Fua, Mateusz Koziński, Pablo Márquez-Neila, Sandro De Zanet, Stefanos Apostolopoulos, Carlos Ciller, Irmela Mantel, Raphael Sznitman, Marion R. Munk and Martin S. Zinkernagel and has published in prestigious journals such as Blood, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Agata Mosinska

12 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agata Mosinska Switzerland 7 158 124 99 82 73 13 330
A. Mecocci Italy 10 141 0.9× 128 1.0× 146 1.5× 17 0.2× 13 0.2× 29 355
Siti Raihanah Abdani Malaysia 14 294 1.9× 80 0.6× 162 1.6× 9 0.1× 36 0.5× 30 489
Thitiporn Chanwimaluang Thailand 7 319 2.0× 182 1.5× 315 3.2× 5 0.1× 21 0.3× 38 469
Kaiqiong Sun China 9 110 0.7× 49 0.4× 189 1.9× 11 0.1× 8 0.1× 27 315
Enting Gao China 9 190 1.2× 118 1.0× 91 0.9× 5 0.1× 17 0.2× 17 333
Marcin Ciecholewski Poland 9 95 0.6× 11 0.1× 148 1.5× 21 0.3× 18 0.2× 15 282
Sonali Sonali India 7 157 1.0× 73 0.6× 142 1.4× 15 0.2× 3 0.0× 15 336
Tobias Pohlen Germany 2 45 0.3× 9 0.1× 300 3.0× 28 0.3× 22 0.3× 2 399
Ben Appleton Australia 9 43 0.3× 6 0.0× 198 2.0× 24 0.3× 18 0.2× 19 290

Countries citing papers authored by Agata Mosinska

Since Specialization
Citations

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

Fields of papers citing papers by Agata Mosinska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Mosinska

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

All Works

13 of 13 papers shown
1.
Yüce, Anıl, Christian Doerig, Agata Mosinska, et al.. (2024). Deep Learning Predicts Risk of Large B-Cell Lymphoma Progression upon R-CHOP Therapy from Baseline Histology. Blood. 144(Supplement 1). 108–108.
2.
Montesel, Andrea, Agata Mosinska, Stefanos Apostolopoulos, et al.. (2022). Automated foveal location detection on spectral-domain optical coherence tomography in geographic atrophy patients. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(7). 2261–2270. 2 indexed citations
3.
Mosinska, Agata, et al.. (2021). Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography. Scientific Reports. 11(1). 21893–21893. 20 indexed citations
4.
Munk, Marion R., Thomas Kurmann, Sandro De Zanet, et al.. (2021). Machine Learning Can Predict Anti–VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema. Ophthalmology Retina. 5(7). 604–624. 55 indexed citations
5.
Mantel, Irmela, Agata Mosinska, Ciara Bergin, et al.. (2021). Automated Quantification of Pathological Fluids in Neovascular Age-Related Macular Degeneration, and Its Repeatability Using Deep Learning. Translational Vision Science & Technology. 10(4). 17–17. 26 indexed citations
6.
Mosinska, Agata, Andrea Montesel, Stefanos Apostolopoulos, et al.. (2021). Personalized Atrophy Risk Mapping in Age-Related Macular Degeneration. Translational Vision Science & Technology. 10(13). 18–18. 15 indexed citations
7.
Zanet, Sandro De, Agata Mosinska, Ciara Bergin, et al.. (2020). Automated detection and quantification of pathological fluid in neovascular age-related macular degeneration using a deep learning approach. 61(7). 1655–1655. 5 indexed citations
8.
Berger, Lieselotte, Gerd Klose, Sandro De Zanet, et al.. (2020). Comparison of Drusen Volume Assessed by Two Different OCT Devices. Journal of Clinical Medicine. 9(8). 2657–2657. 3 indexed citations
9.
Vente, Coen de, Carlos Ciller, Sandro De Zanet, et al.. (2020). Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography. 61(7). 1630–1630. 3 indexed citations
10.
Koziński, Mateusz, Agata Mosinska, Mathieu Salzmann, & Pascal Fua. (2019). Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. Medical Image Analysis. 60. 101590–101590. 14 indexed citations
11.
Mosinska, Agata, Mateusz Koziński, & Pascal Fua. (2019). Joint Segmentation and Path Classification of Curvilinear Structures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(6). 1515–1521. 19 indexed citations
12.
Mosinska, Agata, Pablo Márquez-Neila, Mateusz Koziński, & Pascal Fua. (2018). Beyond the Pixel-Wise Loss for Topology-Aware Delineation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3136–3145. 162 indexed citations
13.
Mosinska, Agata, Engin Türetken, Raphael Sznitman, et al.. (2017). Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(3). 755–761. 6 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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