340 citations · 1.8k across the 24 of their papers we have counts for
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eess.IV2020★ 101 cited
deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling
Adugna G. Mullissa, Diego Marcos, Devis Tuia +2
Deep learning (DL) has proven to be a suitable approach for despeckling synthetic aperture radar (SAR) images. So far, most DL models are trained to reduce speckle that follows a p…
eess.IV2020★ 14 cited
Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information
Matloob Khushi, Georgina Edwards, Diego Alonso de Marcos +3
Virtual microscopy includes digitisation of histology slides and the use of computer technologies for complex investigation of diseases such as cancer. However, automated image ana…