Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs. - Maria Vakalopoulou; C. Platias; Maria Papadomanolaki; Nikos Paragios; Konstantinos Karantzalos (IGARSS, 2016)

Patch-based deep learning architectures for sparse annotated very high resolution datasets. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (JURSE, 2017)

Stacked Encoder-Decoders for Accurate Semantic Segmentation of Very High Resolution Satellite Datasets. - Maria Papadomanolaki; Maria Vakalopoulou; Nikos Paragios; Konstantinos Karantzalos (IGARSS, 2018)

A Multi-Task Deep Learning Framework Coupling Semantic Segmentation and Image Reconstruction for Very High Resolution Imagery. - Maria Papadomanolaki; Konstantinos Karantzalos; Maria Vakalopoulou (IGARSS, 2019)

Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. - Maria Papadomanolaki; Sagar Verma; Maria Vakalopoulou; Siddharth Gupta 006; Konstantinos Karantzalos (IGARSS, 2019)

A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (Remote. Sens., 2019)

Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning. - Maria Papadomanolaki; Stergios Christodoulidis; Konstantinos Karantzalos; Maria Vakalopoulou (Remote. Sens., 2021)

A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep Learning based Multistep Registration Focusing on Regions of Change. - Maria Papadomanolaki; Maria Vakalopoulou; Konstantinos Karantzalos (IGARSS, 2022)