Ender Konukoğlu

13.8k total citations · 3 hit papers
102 papers, 3.8k citations indexed

About

Ender Konukoğlu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Ender Konukoğlu has authored 102 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Computer Vision and Pattern Recognition and 26 papers in Biomedical Engineering. Recurrent topics in Ender Konukoğlu's work include Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Image Segmentation Techniques (20 papers) and Medical Imaging Techniques and Applications (15 papers). Ender Konukoğlu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Image Segmentation Techniques (20 papers) and Medical Imaging Techniques and Applications (15 papers). Ender Konukoğlu collaborates with scholars based in Switzerland, United States and United Kingdom. Ender Konukoğlu's co-authors include Antonio Criminisi, Tianfei Zhou, Wenguan Wang, Ben Glocker, Olivier Clatz, Nicholas Ayache, Darko Zikic, Luc Van Gool, Fisher Yu and Jifeng Dai and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Ender Konukoğlu

98 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

2021 412 citations Ender Konukoğlu et al. profile →
Rethinking Semantic Segmentation: A Prototype View

2022 244 citations Ender Konukoğlu et al. profile →
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

2023 112 citations Ertunç Erdil, Ender Konukoğlu et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ender Konukoğlu Switzerland	33	1.7k	1.2k	868	734	455	102	3.8k
Ehsan Adeli United States	36	1.6k 0.9×	1.2k 1.0×	1.6k 1.8×	432 0.6×	800 1.8×	139	4.6k
Tal Arbel Canada	25	1.5k 0.8×	987 0.8×	661 0.8×	394 0.5×	355 0.8×	97	2.8k
Qian Wang China	42	2.4k 1.4×	3.2k 2.7×	1.4k 1.6×	1.2k 1.6×	627 1.4×	308	7.0k
Hamid Soltanian‐Zadeh Iran	41	2.4k 1.4×	2.3k 1.9×	1.3k 1.4×	704 1.0×	818 1.8×	456	7.3k
Su Ruan France	33	2.0k 1.2×	2.0k 1.7×	1.4k 1.6×	637 0.9×	842 1.9×	171	5.0k
Yi Guo China	30	588 0.3×	1.5k 1.3×	757 0.9×	474 0.6×	173 0.4×	163	3.5k
Christian Desrosiers Canada	25	991 0.6×	1.1k 0.9×	748 0.9×	349 0.5×	281 0.6×	144	2.7k
Leonardo Rundo Italy	33	1.0k 0.6×	1.4k 1.2×	1.2k 1.4×	423 0.6×	518 1.1×	102	3.3k
Boudewijn P. F. Lelieveldt Netherlands	40	1.9k 1.1×	2.0k 1.7×	670 0.8×	980 1.3×	233 0.5×	216	6.4k

Countries citing papers authored by Ender Konukoğlu

Since Specialization

Citations

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

Fields of papers citing papers by Ender Konukoğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ender Konukoğlu

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

All Works

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20 of 20 papers shown

Ciernik, I. Frank, et al.. (2025). Learning to segment anatomy and lesions from disparately labeled sources in brain MRI. Medical Image Analysis. 105. 103705–103705.

Laudicella, Riccardo, Albert Comelli, Moritz Schwyzer, et al.. (2024). PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI. La radiologia medica. 129(6). 901–911. 4 indexed citations

Kebernik, Julia, et al.. (2024). Predicting mortality after transcatheter aortic valve replacement using preprocedural CT. Scientific Reports. 14(1). 12526–12526. 2 indexed citations

Balasubramanian, Adithya, Sungmin Woo, Hebert Alberto Vargas, et al.. (2024). Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review. Radiology Artificial Intelligence. 6(4). e230138–e230138. 11 indexed citations

Erdil, Ertunç, Anton S. Becker, Moritz Schwyzer, et al.. (2024). Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks. Nature Communications. 15(1). 8402–8402. 1 indexed citations

Erdil, Ertunç, et al.. (2023). Wiener Guided DIP for Unsupervised Blind Image Deconvolution. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3046–3055. 3 indexed citations

Bach, Michael, Christoph Aberle, Adrien Depeursinge, et al.. (2023). 3D‐printed iodine‐ink CT phantom for radiomics feature extraction ‐ advantages and challenges. Medical Physics. 50(9). 5682–5697. 1 indexed citations

Bogowicz, Marta, Ender Konukoğlu, Oliver Riesterer, et al.. (2022). A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. Computers in Biology and Medicine. 142. 105215–105215. 22 indexed citations

Chen, Xiaoran, et al.. (2021). The OOD Blind Spot of Unsupervised Anomaly Detection.. 286–300. 5 indexed citations

10.

Müller, Simon, Ramesh Shunmugasundaram, Vincent De Andrade, et al.. (2021). Deep learning-based segmentation of lithium-ion battery microstructures enhanced by artificially generated electrodes. Nature Communications. 12(1). 6205–6205. 89 indexed citations

11.

Wirth, W., et al.. (2021). Fully automated cartilage segmentation of late stage osteoarthritis (KLG4) knees using deep learning with U-net architectures - model specificity is important. Osteoarthritis and Cartilage. 29. S319–S320. 2 indexed citations

12.

Eckstein, F., Akshay Chaudhari, Martin Gaisberger, et al.. (2020). Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep‐Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative. Arthritis Care & Research. 74(6). 929–936. 27 indexed citations

13.

Kemnitz, Jana, Christian F. Baumgartner, F. Eckstein, et al.. (2019). Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain. Magnetic Resonance Materials in Physics Biology and Medicine. 33(4). 483–493. 43 indexed citations

14.

Tezcan, Kerem Can, Christian F. Baumgartner, & Ender Konukoğlu. (2017). MR image reconstruction using the learned data distribution as prior.. arXiv (Cornell University). 1 indexed citations

15.

Bogowicz, Marta, Ralph T. H. Leijenaar, Stephanie Tanadini‐Lang, et al.. (2017). Post-radiochemotherapy PET radiomics in head and neck cancer – The influence of radiomics implementation on the reproducibility of local control tumor models. Radiotherapy and Oncology. 125(3). 385–391. 77 indexed citations

16.

Glocker, Ben, Darko Zikic, Ender Konukoğlu, David R. Haynor, & Antonio Criminisi. (2013). Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. Lecture notes in computer science. 16(Pt 2). 262–270. 101 indexed citations

17.

Konukoğlu, Ender, Ben Glocker, Darko Zikic, & Antonio Criminisi. (2013). Neighbourhood approximation using randomized forests. Medical Image Analysis. 17(7). 790–804. 39 indexed citations

18.

Zikic, Darko, Ben Glocker, Ender Konukoğlu, et al.. (2012). Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues. Biochemical Pharmacology. 201. 115075–115075. 42 indexed citations

19.

Geremia, Ezequiel, Bjoern Menze, Olivier Clatz, et al.. (2010). Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. Lecture notes in computer science. 13(Pt 1). 111–118. 68 indexed citations

20.

Konukoğlu, Ender, Maxime Sermesant, Olivier Clatz, et al.. (2007). A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling. Lecture notes in computer science. 20. 687–699. 52 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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