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Ramin Moshavegh
Doctoral Candidate at Technical Univ of Denmark
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Publications (5)
Proceedings Article | 13 March 2017 Paper
Automatic segmentation of vessels in in-vivo ultrasound scans
Proceedings Volume 10137, 101371P (2017) https://doi.org/10.1117/12.2254101
KEYWORDS: Image segmentation, Ultrasonography, In vivo imaging, Vascular diseases, Arteries, Doppler effect, Scanners, Transducers, Image processing algorithms and systems
Proceedings Article | 1 April 2016 Paper
Optimization of synthetic aperture image quality
Proceedings Volume 9790, 97900Z (2016) https://doi.org/10.1117/12.2216506
KEYWORDS: Image quality, Image resolution, Objectives, Ultrasonography, Synthetic aperture radar, Image analysis, Synthetic aperture imaging, Ultrafast imaging, Transducers, Point spread functions, Computer simulations, Apodization
Proceedings Article | 1 April 2016 Paper
Novel automatic detection of pleura and B-lines (comet-tail artifacts) on in vivo lung ultrasound scans
Ramin Moshavegh, Kristoffer Lindskov Hansen, Hasse Møller Sørensen, Martin Christian Hemmsen, Caroline Ewertsen, Michael Bachmann Nielsen, Jørgen Arendt Jensen
Proceedings Volume 9790, 97900K (2016) https://doi.org/10.1117/12.2216499
KEYWORDS: Ultrasonography, Lung, Image segmentation, In vivo imaging, Visual analytics, Visualization, Medicine, Biology, Image analysis, Transducers, Detection and tracking algorithms, Binary data, Surgery, Signal attenuation, Scanners
Proceedings Article | 17 March 2015 Paper
Automated hierarchical time gain compensation for in-vivo ultrasound imaging
Ramin Moshavegh, Martin Hemmsen, Bo Martins, Andreas Brandt, Kristoffer Hansen, Michael Nielsen, Jørgen Jensen
Proceedings Volume 9419, 941904 (2015) https://doi.org/10.1117/12.2081619
KEYWORDS: Signal attenuation, Signal to noise ratio, Tissues, Ultrasonography, Bladder, In vivo imaging, Interference (communication), Visualization, Image quality, Image segmentation
Proceedings Article | 29 March 2013 Paper
Novel chromatin texture features for the classification of pap smears
Babak Bejnordi, Ramin Moshavegh, K. Sujathan, Patrik Malm, Ewert Bengtsson, Andrew Mehnert
Proceedings Volume 8676, 867608 (2013) https://doi.org/10.1117/12.2007185
KEYWORDS: Particles, Feature selection, Image segmentation, Image classification, Image filtering, Absorbance, Feature extraction, Diagnostics, Binary data, Fractal analysis
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