Gabriele Steidl
About
Gabriele Steidl has authored 42 papers that have received a total of 455 indexed citations.
This includes 17 papers in Computer Vision and Pattern Recognition, 16 papers in Computational Theory and Mathematics and 11 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (7 papers) and Medical Image Segmentation Techniques (5 papers). Gabriele Steidl is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (7 papers) and Medical Image Segmentation Techniques (5 papers) and collaborates with scholars based in Germany, France and Italy. Gabriele Steidl's co-authors include Daniel J. Strauß, Daniel Potts, Sebastian Neumayer, Stephan Dahlke and Gerd Teschke and has published in prestigious journals such as IEEE Transactions on Image Processing, Mathematics of Computation and International Journal of Computer Vision
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