Jonas De Vylder

478 total citations
33 papers, 295 citations indexed

About

Jonas De Vylder is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics. According to data from OpenAlex, Jonas De Vylder has authored 33 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 7 papers in Biophysics. Recurrent topics in Jonas De Vylder's work include Medical Image Segmentation Techniques (9 papers), Cell Image Analysis Techniques (7 papers) and Image Processing Techniques and Applications (6 papers). Jonas De Vylder is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Cell Image Analysis Techniques (7 papers) and Image Processing Techniques and Applications (6 papers). Jonas De Vylder collaborates with scholars based in Belgium, Netherlands and United States. Jonas De Vylder's co-authors include Wilfried Philips, Dominique Van Der Straeten, Filip Vandenbussche, Yuming Hu, Bart Goossens, Jan Aelterman, Aleksandra Pižurica, Simon Donné, Ewout Vansteenkiste and Winnok H. De Vos and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Sensors.

In The Last Decade

Jonas De Vylder

30 papers receiving 287 citations

Peers

Countries citing papers authored by Jonas De Vylder

Since Specialization

Citations

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

Fields of papers citing papers by Jonas De Vylder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas De Vylder. 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 Jonas De Vylder. The network helps show where Jonas De Vylder may publish in the future.

Co-authorship network of co-authors of Jonas De Vylder

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas De Vylder. A scholar is included among the top collaborators of Jonas De Vylder 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 Jonas De Vylder. Jonas De Vylder 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

#	Work	Indexed citations
1	Data-Efficient Sensor Upgrade Path Using Knowledge Distillation 2021 ·Sensors ·(unknown), Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, (unknown), Pieter Simoens, Bart Dhoedt	4
2	26915 Steps towards trustworthy AI: Detecting unsupported lesions 2021 ·Journal of the American Academy of Dermatology ·Jonas De Vylder, Tom Kimpe, (unknown), Sofie Van Kelst, (unknown), Evelien Verhaeghe, (unknown), Maria Garmyn, Liève Brochez	0
3	Accurate Detection of Dysmorphic Nuclei Using Dynamic Programming and Supervised Classification 2017 ·PLoS ONE ·Marlies Verschuuren, Jonas De Vylder, (unknown), (unknown), Wilfried Philips, Winnok H. De Vos	8
4	Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy 2017 ·Ghent University Academic Bibliography (Ghent University) ·Joris Roels, Jonas De Vylder, Jan Aelterman, Yvan Saeys, Wilfried Philips	7
5	Automated Membrane Detection in Electron Microscopy using Convolutional Neural Networks 2016 ·Ghent University Academic Bibliography (Ghent University) ·Joris Roels, Jonas De Vylder, Jan Aelterman, Yvan Saeys, Wilfried Philips	2
6	Image Degradation in Microscopic Images: Avoidance, Artifacts, and Solutions 2016 ·Advances in anatomy, embryology and cell biology ·Joris Roels, Jan Aelterman, Jonas De Vylder, Saskia Lippens, Hiêp Luong, Christopher J. Guérin, Wilfried Philips	4
7	Real-time Machine Vision with GPU-acceleration using Quasar 2016 ·Electronic Imaging ·Jonas De Vylder, Simon Donné, (unknown), Bart Goossens	1
8	Bayesian deconvolution of scanning electron microscopy images using point-spread function estimation and non-local regularization 2016 ·PubMed ·Joris Roels, Jan Aelterman, Jonas De Vylder, Hiêp Luong, Yvan Saeys, Wilfried Philips	11
9	MATE: Machine Learning for Adaptive Calibration Template Detection 2016 ·Sensors ·Simon Donné, Jonas De Vylder, Bart Goossens, Wilfried Philips	26
10	Average Track Estimation of Moving Objects Using RANSAC and DTW 2014 ·Xingzhe Xie, Jonas De Vylder, (unknown), Peter Veelaert, Wilfried Philips, Hamid Aghajan	1
11	Computationally Efficient Locally Adaptive Demosaicing of Color Filter Array Images Using the Dual-Tree Complex Wavelet Packet Transform 2013 ·PLoS ONE ·Jan Aelterman, Bart Goossens, Jonas De Vylder, Aleksandra Pižurica, Wilfried Philips	9
12	Brain blood vessel segmentation using line-shaped profiles 2013 ·Physics in Medicine and Biology ·Danilo Babin, Aleksandra Pižurica, Jonas De Vylder, Ewout Vansteenkiste, Wilfried Philips	27
13	A Novel Dictionary Based Computer Vision Method for the Detection of Cell Nuclei 2013 ·PLoS ONE ·Jonas De Vylder, Jan Aelterman, (unknown), Mado Vandewoestyne, (unknown), Dieter Deforce, Wilfried Philips	4
14	Leaf Segmentation And Parallel Phenotyping For The Analysis Of Gene Networks In Plants 2013 ·Zenodo (CERN European Organization for Nuclear Research) ·Jan Aelterman, Jonas De Vylder, Olivier Janssens, Wilfried Philips, Rik Van de Walle, Dominique Van Der Straeten, Sofie Van Hoecke, Steven Verstockt	8
15	Combined non-local and multi-resolution sparsity prior in image restoration 2012 ·Jan Aelterman, Bart Goossens, Hiêp Luong, Jonas De Vylder, Aleksandra Pižurica, Wilfried Philips	4
16	Convex formulation and global optimization for multimodal active contour segmentation 2011 ·Ghent University Academic Bibliography (Ghent University) ·Jonas De Vylder, (unknown), Wilfried Philips	0
17	2D mapping of strongly deformable cell nuclei‐based on contour matching 2011 ·Cytometry Part A ·Jonas De Vylder, Winnok H. De Vos, Erik M. M. Manders, Wilfried Philips	13
18	Computational efficient segmentation of cell nuclei in 2D and 3D fluorescent micrographs 2011 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Jonas De Vylder, Wilfried Philips	1
19	2D mapping of strongly deformed cell nuclei based on contour warping 2010 ·PubMed ·Jonas De Vylder, (unknown), Winnok H. De Vos, Wilfried Philips	0
20	Tracking multiple objects using moving snakes 2009 ·Ghent University Academic Bibliography (Ghent University) ·Jonas De Vylder, Daniel Ochoa, Wilfried Philips, Laury Chaerle, Dominique Van Der Straeten	4

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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