Neural Network Autoencoder for Change Detection in Satellite Image Time Series. - Ekaterina Kalinicheva; Jérémie Sublime; Maria Trocan (ICECS, 2018)

Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders. - Ekaterina Kalinicheva; Jérémie Sublime; Maria Trocan (ICANN (3), 2019)

Object-Based Change Detection in Satellite Images Combined with Neural Network Autoencoder Feature Extraction. - Ekaterina Kalinicheva; Jérémie Sublime; Maria Trocan (IPTA, 2019)

Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami. - Jérémie Sublime; Ekaterina Kalinicheva (Remote. Sens., 2019)

Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression. - Guillaume Dupont; Ekaterina Kalinicheva; Jérémie Sublime; Florence Rossant; Michel Pâques (ICANN (2), 2020)

Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection. - Guillaume Dupont; Ekaterina Kalinicheva; Jérémie Sublime; Florence Rossant; Michel Pâques (J. Imaging, 2020)

Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder. - Ekaterina Kalinicheva; Jérémie Sublime; Maria Trocan (Remote. Sens., 2020)

Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches. - Ekaterina Kalinicheva; Dino Ienco; Jérémie Sublime; Maria Trocan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Unsupervised Satellite Image Time Series Analysis using Deep Learning Techniques. (Analyse Non-supervisée de Séries d'Images Satellites avec des Méthodes d'Apprentissage Profond). - Ekaterina Kalinicheva (2020)

Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. - Ekaterina Kalinicheva; Loïc Landrieu; Clément Mallet; Nesrine Chehata (CoRR, 2021)

Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. - Ekaterina Kalinicheva; Loïc Landrieu; Clément Mallet; Nesrine Chehata (CVPR Workshops, 2022)

Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. - Ekaterina Kalinicheva; Loïc Landrieu; Clément Mallet; Nesrine Chehata (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Revisiting Remote Sensing Cross-Sensor Single Image Super-Resolution: The Overlooked Impact of Geometric and Radiometric Distortion. - Julien Michel; Ekaterina Kalinicheva; Jordi Inglada (IEEE Trans. Geosci. Remote. Sens., 2025)