Michal Sofka

1.6k total citations
33 papers, 971 citations indexed

About

Michal Sofka is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Michal Sofka has authored 33 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Michal Sofka's work include Medical Image Segmentation Techniques (12 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Michal Sofka is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Michal Sofka collaborates with scholars based in United States, Germany and Taiwan. Michal Sofka's co-authors include Charles V. Stewart, G. Yang, Chia-Ling Tsai, S. Kevin Zhou, Vojtěch Franc, Jingdan Zhang, Neil Birkbeck, Jo Schlemper, Dorin Comaniciu and Seyed Sadegh Mohseni Salehi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Michal Sofka

33 papers receiving 934 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michal Sofka United States 15 557 483 192 150 132 33 971
Christian Roux France 21 903 1.6× 720 1.5× 279 1.5× 73 0.5× 195 1.5× 118 1.7k
Khan Bahadar Khan Pakistan 14 288 0.5× 342 0.7× 161 0.8× 33 0.2× 113 0.9× 33 766
Elli Angelopoulou Germany 18 1.1k 2.0× 373 0.8× 247 1.3× 105 0.7× 183 1.4× 59 1.5k
Wei Xiong Singapore 15 426 0.8× 168 0.3× 47 0.2× 83 0.6× 150 1.1× 94 911
Yuqian Zhao China 20 664 1.2× 296 0.6× 56 0.3× 73 0.5× 264 2.0× 99 1.2k
Kamil Říha Czechia 14 328 0.6× 237 0.5× 115 0.6× 18 0.1× 119 0.9× 66 665
Lai Jiang China 16 669 1.2× 432 0.9× 259 1.3× 19 0.1× 186 1.4× 57 1.1k
Yixiong Liang China 15 491 0.9× 278 0.6× 127 0.7× 37 0.2× 247 1.9× 57 774
Priyanka Kokil India 16 206 0.4× 233 0.5× 82 0.4× 16 0.1× 131 1.0× 91 931
Dwarikanath Mahapatra Switzerland 23 1.1k 1.9× 905 1.9× 352 1.8× 50 0.3× 464 3.5× 87 1.8k

Countries citing papers authored by Michal Sofka

Since Specialization
Citations

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

Fields of papers citing papers by Michal Sofka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Sofka

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Sofka. A scholar is included among the top collaborators of Michal Sofka 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 Michal Sofka. Michal Sofka 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.
Krupinski, Elizabeth A., et al.. (2023). Image quality assessment of advanced reconstruction algorithm for point-of-care MRI scanner. Journal of Medical Imaging. 10(S1). S11913–S11913. 3 indexed citations
2.
Schlemper, Jo, et al.. (2022). ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. Lecture notes in computer science. 13436. 66–77. 11 indexed citations
3.
Zhou, Bo, Jo Schlemper, Seyed Sadegh Mohseni Salehi, et al.. (2022). Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. Medical Image Analysis. 81. 102538–102538. 33 indexed citations
4.
Sofka, Michal, et al.. (2016). Optimized invariant representation of network traffic for detecting unseen malware variants. USENIX Security Symposium. 807–822. 66 indexed citations
5.
Wu, Dijia, Michal Sofka, Neil Birkbeck, & Sihang Zhou. (2014). Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. Lecture notes in computer science. 17(Pt 1). 372–380. 22 indexed citations
6.
Harrison, Adam P., Neil Birkbeck, & Michal Sofka. (2013). IntellEditS: Intelligent Learning-Based Editor of Segmentations. Lecture notes in computer science. 16(Pt 3). 235–242. 1 indexed citations
7.
Sofka, Michal, et al.. (2013). Automatic Nuchal Translucency Measurement from Ultrasonography. Lecture notes in computer science. 16(Pt 3). 243–250. 9 indexed citations
8.
Zhou, S. Kevin, et al.. (2012). Progressive Data Transmission for Anatomical Landmark Detection in a Cloud. Methods of Information in Medicine. 51(3). 268–278. 6 indexed citations
9.
Tsai, Chia-Ling, et al.. (2012). Retinal Vascular Tree Reconstruction With Anatomical Realism. IEEE Transactions on Biomedical Engineering. 59(12). 3337–3347. 14 indexed citations
10.
Sofka, Michal, Dijia Wu, Michael Sühling, et al.. (2011). Automatic Contrast Phase Estimation in CT Volumes. Lecture notes in computer science. 14(Pt 3). 166–174. 5 indexed citations
11.
Kohlberger, Timo, Michal Sofka, Jingdan Zhang, et al.. (2011). Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. Lecture notes in computer science. 14(Pt 3). 338–345. 33 indexed citations
12.
Sofka, Michal, Jens Wetzl, Neil Birkbeck, et al.. (2011). Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. Lecture notes in computer science. 14(Pt 3). 667–674. 40 indexed citations
13.
Sofka, Michal & Charles V. Stewart. (2010). Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans. Medical Image Analysis. 14(3). 407–428. 9 indexed citations
14.
Tsai, Chia-Ling, et al.. (2009). Vascular Tree Construction with Anatomical Realism for Retinal Images. 25. 313–318. 5 indexed citations
15.
Sofka, Michal & Charles V. Stewart. (2008). Location Registration and Recognition (LRR) for Longitudinal Evaluation of Corresponding Regions in CT Volumes. Lecture notes in computer science. 11(Pt 2). 989–997. 5 indexed citations
16.
Tsai, Chia-Ling, Michal Sofka, G. Yang, et al.. (2008). Automated Retinal Image Analysis Over the Internet. IEEE Transactions on Information Technology in Biomedicine. 12(4). 480–487. 23 indexed citations
17.
Sofka, Michal. (2008). Commentary Paper on "Shadow Removal in Indoor Scenes". 299–300. 2 indexed citations
18.
Yang, G., Charles V. Stewart, Michal Sofka, & Chia-Ling Tsai. (2007). Registration of Challenging Image Pairs: Initialization, Estimation, and Decision. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(11). 1973–1989. 189 indexed citations
19.
Sofka, Michal & Charles V. Stewart. (2006). Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures. IEEE Transactions on Medical Imaging. 25(12). 1531–1546. 243 indexed citations
20.
Yang, G., Charles V. Stewart, Michal Sofka, & Chia-Ling Tsai. (2006). Automatic robust image registration system: Initialization, estimation, and decision. 23–23. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Christian Roux Breakdown of academic impact, for papers by Khan Bahadar Khan Breakdown of academic impact, for papers by Elli Angelopoulou Breakdown of academic impact, for papers by Wei Xiong Breakdown of academic impact, for papers by Yuqian Zhao Breakdown of academic impact, for papers by Kamil Říha Breakdown of academic impact, for papers by Lai Jiang Breakdown of academic impact, for papers by Yixiong Liang Breakdown of academic impact, for papers by Priyanka Kokil Breakdown of academic impact, for papers by Dwarikanath Mahapatra
Rankless by CCL
2026